{"id":621,"date":"2024-05-03T00:34:26","date_gmt":"2024-05-02T15:34:26","guid":{"rendered":"https:\/\/chocottopro.com\/?p=621"},"modified":"2024-05-03T00:34:26","modified_gmt":"2024-05-02T15:34:26","slug":"%e3%80%90%e5%88%9d%e5%bf%83%e8%80%85%e5%90%91%e3%81%91%e3%80%91mne-python%e3%81%a7%e8%84%b3%e6%b3%a2%e8%a7%a3%e6%9e%90%e5%85%a5%e9%96%80%ef%bc%81%e5%9f%ba%e6%9c%ac%e7%9a%84%e3%81%aa%e4%bd%bf%e3%81%84","status":"publish","type":"post","link":"https:\/\/chocottopro.com\/?p=621","title":{"rendered":"\u3010\u521d\u5fc3\u8005\u5411\u3051\u3011MNE Python\u3067\u8133\u6ce2\u89e3\u6790\u5165\u9580\uff01\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9\u304b\u3089\u6a5f\u68b0\u5b66\u7fd2\u307e\u3067\u5fb9\u5e95\u89e3\u8aac"},"content":{"rendered":"\n<p>\u8133\u6ce2\u89e3\u6790\u306b\u8208\u5473\u304c\u3042\u308bPython\u30e6\u30fc\u30b6\u30fc\u306b\u3068\u3063\u3066\u3001MNE Python\u306f\u5fc5\u9808\u306e\u30c4\u30fc\u30eb\u3067\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001MNE Python\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9\u304b\u3089\u767a\u5c55\u7684\u306a\u30c8\u30d4\u30c3\u30af\u307e\u3067\u3001\u521d\u5fc3\u8005\u306b\u3082\u308f\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3057\u307e\u3059\u3002\u74b0\u5883\u69cb\u7bc9\u304b\u3089\u59cb\u3081\u3066\u3001\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u3001\u524d\u51e6\u7406\u3001\u53ef\u8996\u5316\u3001\u6a5f\u68b0\u5b66\u7fd2\u3068\u306e\u7d71\u5408\u3001MEG\u30c7\u30fc\u30bf\u89e3\u6790\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u306e\u7d44\u307f\u5408\u308f\u305b\u306a\u3069\u3001\u5e45\u5e83\u3044\u5185\u5bb9\u3092\u7db2\u7f85\u3057\u3066\u3044\u307e\u3059\u3002\u5b9f\u969b\u306e\u30b3\u30fc\u30c9\u4f8b\u3092\u4ea4\u3048\u306a\u304c\u3089\u3001\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7\u3067MNE Python\u306e\u4f7f\u3044\u65b9\u3092\u30de\u30b9\u30bf\u30fc\u3057\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<div class=\"wp-block-sgb-block-simple sgb-box-simple sgb-box-simple--title-normal sgb-box-simple--with-border\"><div style=\"background-color:var(--wp--preset--color--sango-main);color:#FFF\" class=\"sgb-box-simple__title\">\u3053\u306e\u8a18\u4e8b\u3092\u8aad\u3093\u3060\u3089\u308f\u304b\u308b\u3053\u3068<\/div><div class=\"sgb-box-simple__body\" style=\"border-color:var(--wp--preset--color--sango-main);background-color:#FFF\">\n<ul class=\"wp-block-list\">\n<li>MNE Python\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5\u3068\u74b0\u5883\u69cb\u7bc9 <\/li>\n\n\n\n<li>\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u3001\u524d\u51e6\u7406\u3001\u53ef\u8996\u5316\u306e\u624b\u9806 <\/li>\n\n\n\n<li>MNE Python\u3092\u7528\u3044\u305f\u6a5f\u68b0\u5b66\u7fd2\u306e\u6d41\u308c <\/li>\n\n\n\n<li>\u611f\u60c5\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3084BCI\u306e\u69cb\u7bc9\u306a\u3069\u3001\u5b9f\u8df5\u7684\u306a\u5fdc\u7528\u4f8b <\/li>\n\n\n\n<li>MEG\u30c7\u30fc\u30bf\u89e3\u6790\u3084\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u306e\u7d44\u307f\u5408\u308f\u305b\u65b9 <\/li>\n\n\n\n<li>MNE Python\u306e\u30de\u30b9\u30bf\u30fc\u3092\u76ee\u6307\u3059\u305f\u3081\u306e\u5b66\u7fd2\u30ea\u30bd\u30fc\u30b9\u60c5\u5831<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<div class=\"toc\"><br \/>\n<b>Warning<\/b>:  Undefined array key \"is_admin\" in <b>\/home\/c7479301\/public_html\/chocottopro.com\/wp-content\/themes\/sango-theme\/library\/gutenberg\/dist\/classes\/Toc.php<\/b> on line <b>116<\/b><br \/>\n<br \/>\n<b>Warning<\/b>:  Undefined array key \"is_category_top\" in <b>\/home\/c7479301\/public_html\/chocottopro.com\/wp-content\/themes\/sango-theme\/library\/gutenberg\/dist\/classes\/Toc.php<\/b> on line <b>121<\/b><br \/>\n<br \/>\n<b>Warning<\/b>:  Undefined array key \"is_top\" in <b>\/home\/c7479301\/public_html\/chocottopro.com\/wp-content\/themes\/sango-theme\/library\/gutenberg\/dist\/classes\/Toc.php<\/b> on line <b>128<\/b><br \/>\n    <div id=\"toc_container\" class=\"sgb-toc--bullets js-smooth-scroll\" data-dialog-title=\"Table of Contents\">\n      <p class=\"toc_title\">\u76ee\u6b21 <\/p>\n      <ul class=\"toc_list\">  <li class=\"first\">    <a href=\"#i-0\">MNE Python\u3068\u306f\uff1f\u8133\u6ce2\u89e3\u6790\u306b\u304a\u3051\u308b\u5f79\u5272\u3068\u91cd\u8981\u6027<\/a>  <\/li>  <li>    <a href=\"#i-1\">MNE Python\u306e\u74b0\u5883\u69cb\u7bc9\u65b9\u6cd5\u3010Windows\/Mac\/Linux\u5bfe\u5fdc\u3011<\/a>    <ul class=\"menu_level_1\">      <li class=\"first\">        <a href=\"#i-2\">Anaconda\u3092\u4f7f\u3063\u305f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u624b\u9806<\/a>      <\/li>      <li class=\"last\">        <a href=\"#i-3\">pip\u3092\u4f7f\u3063\u305f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u624b\u9806<\/a>      <\/li>    <\/ul>  <\/li>  <li>    <a href=\"#i-4\">MNE Python\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9<\/a>    <ul class=\"menu_level_1\">      <li class=\"first\">        <a href=\"#i-5\">\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u65b9\u6cd5<\/a>      <\/li>      <li>        <a href=\"#i-6\">\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\uff08\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3001\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u9664\u53bb\u306a\u3069\uff09<\/a>      <\/li>      <li class=\"last\">        <a href=\"#i-7\">\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316\uff08\u6ce2\u5f62\u8868\u793a\u3001\u30c8\u30dd\u30b0\u30e9\u30d5\u30a3\u30fc\u8868\u793a\u306a\u3069\uff09<\/a>      <\/li>    <\/ul>  <\/li>  <li>    <a href=\"#i-8\">MNE Python\u3092\u4f7f\u3063\u305f\u6a5f\u68b0\u5b66\u7fd2\u306e\u6d41\u308c<\/a>    <ul class=\"menu_level_1\">      <li class=\"first\">        <a href=\"#i-9\">\u7279\u5fb4\u91cf\u306e\u62bd\u51fa\u65b9\u6cd5<\/a>      <\/li>      <li>        <a href=\"#i-10\">\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u9078\u629e\u3068\u5b66\u7fd2<\/a>      <\/li>      <li class=\"last\">        <a href=\"#i-11\">\u30e2\u30c7\u30eb\u306e\u8a55\u4fa1\u3068\u89e3\u91c8<\/a>      <\/li>    <\/ul>  <\/li>  <li>    <a href=\"#i-12\">MNE Python\u3092\u4f7f\u3063\u305f\u8133\u6ce2\u89e3\u6790\u306e\u5b9f\u8df5\u4f8b<\/a>    <ul class=\"menu_level_1\">      <li class=\"first\">        <a href=\"#i-13\">\u611f\u60c5\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a<\/a>      <\/li>      <li class=\"last\">        <a href=\"#i-14\">\u30d6\u30ec\u30a4\u30f3\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\uff08BCI\uff09\u306e\u69cb\u7bc9<\/a>      <\/li>    <\/ul>  <\/li>  <li>    <a href=\"#i-15\">MNE Python\u306e\u767a\u5c55\u7684\u306a\u4f7f\u3044\u65b9\u3068\u6700\u65b0\u52d5\u5411<\/a>    <ul class=\"menu_level_1\">      <li class=\"first\">        <a href=\"#i-16\">MEG\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u3078\u306e\u5fdc\u7528<\/a>      <\/li>      <li class=\"last\">        <a href=\"#i-17\">\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u306e\u7d44\u307f\u5408\u308f\u305b<\/a>      <\/li>    <\/ul>  <\/li>  <li class=\"last\">    <a href=\"#i-18\">\u307e\u3068\u3081\uff1aMNE Python\u30de\u30b9\u30bf\u30fc\u3078\u306e\u9053<\/a>    <ul class=\"menu_level_1\">      <li class=\"first\">        <a href=\"#i-19\">\u5b66\u7fd2\u30ea\u30bd\u30fc\u30b9\u306e\u7d39\u4ecb<\/a>      <\/li>      <li class=\"last\">        <a href=\"#i-20\">\u4eca\u5f8c\u306e\u5b66\u7fd2\u30b9\u30c6\u30c3\u30d7\u3068\u30a2\u30c9\u30d0\u30a4\u30b9<\/a>      <\/li>    <\/ul>  <\/li><\/ul>\n      \n    <\/div><\/div><h2 class=\"wp-block-heading\" id=\"i-0\">MNE Python\u3068\u306f\uff1f\u8133\u6ce2\u89e3\u6790\u306b\u304a\u3051\u308b\u5f79\u5272\u3068\u91cd\u8981\u6027<\/h2>\n\n\n\n<p>MNE Python\u306f\u3001\u8133\u6ce2\uff08EEG\uff09\u3001\u8133\u78c1\u56f3\uff08MEG\uff09\u3001\u305d\u306e\u4ed6\u306e\u96fb\u6c17\u751f\u7406\u5b66\u7684\u30c7\u30fc\u30bf\u306e\u51e6\u7406\u3001\u5206\u6790\u3001\u53ef\u8996\u5316\u306e\u305f\u3081\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306ePython\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3059\u3002MNE\u3068\u3044\u3046\u540d\u79f0\u306f\u3001\u201dMagnetoencephalography\uff08\u8133\u78c1\u56f3\uff09\u201d\u3068\u201dElectroencephalography\uff08\u8133\u6ce2\uff09\u201d\u306e\u982d\u6587\u5b57\u306b\u7531\u6765\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>MNE Python\u306e\u4e3b\u306a\u6a5f\u80fd\u3068\u7279\u5fb4\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u591a\u69d8\u306a\u30d5\u30a1\u30a4\u30eb\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\uff08.edf\u3001.bdf\u3001.gdf\u3001.cnt\u3001.fif\u306a\u3069\uff09\u306e\u8aad\u307f\u8fbc\u307f<\/li>\n\n\n\n<li>\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\uff08\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3001\u30ea\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3001\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u9664\u53bb\u306a\u3069\uff09<\/li>\n\n\n\n<li>\u6642\u9593\u9818\u57df\u304a\u3088\u3073\u5468\u6ce2\u6570\u9818\u57df\u3067\u306e\u5206\u6790<\/li>\n\n\n\n<li>\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316\uff08\u6ce2\u5f62\u8868\u793a\u3001\u30c8\u30dd\u30b0\u30e9\u30d5\u30a3\u30fc\u8868\u793a\u3001\u6642\u9593\u5468\u6ce2\u6570\u5206\u6790\u306a\u3069\uff09<\/li>\n\n\n\n<li>\u6a5f\u68b0\u5b66\u7fd2\u3068\u306e\u7d71\u5408\uff08scikit-learn\u306a\u3069\uff09<\/li>\n<\/ul>\n\n\n\n<p>\u8133\u6ce2\u89e3\u6790\u306b\u304a\u3044\u3066\u3001MNE Python\u306f\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u307e\u3059\u3002\u3053\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u306f\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u51e6\u7406\u3068\u5206\u6790\u306b\u7279\u5316\u3057\u305f\u30c4\u30fc\u30eb\u3067\u3042\u308a\u3001\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u304b\u3089\u7279\u5fb4\u91cf\u62bd\u51fa\u3001\u6a5f\u68b0\u5b66\u7fd2\u307e\u3067\u306e\u4e00\u9023\u306e\u6d41\u308c\u3092\u30b7\u30fc\u30e0\u30ec\u30b9\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u7814\u7a76\u8005\u3084\u5b9f\u8df5\u8005\u306f\u8133\u6ce2\u89e3\u6790\u306b\u95a2\u3059\u308b\u7814\u7a76\u3084\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u958b\u767a\u3092\u52b9\u7387\u7684\u306b\u9032\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>MNE Python\u3092\u4f7f\u3046\u30e1\u30ea\u30c3\u30c8\u306f\u3001\u4ee5\u4e0b\u306e\u70b9\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u3067\u7121\u6599\u3067\u5229\u7528\u3067\u304d\u308b<\/li>\n\n\n\n<li>Python\u306e\u8c4a\u5bcc\u306a\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u7d44\u307f\u5408\u308f\u305b\u3066\u4f7f\u3048\u308b<\/li>\n\n\n\n<li>\u5927\u898f\u6a21\u30c7\u30fc\u30bf\u3092\u6271\u3046\u3053\u3068\u304c\u3067\u304d\u308b<\/li>\n\n\n\n<li>\u8c4a\u5bcc\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3068\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u306b\u3088\u308b\u30b5\u30dd\u30fc\u30c8\u304c\u3042\u308b<\/li>\n<\/ul>\n\n\n\n<p>MNE Python\u306e\u5229\u7528\u4e8b\u4f8b\u3068\u3057\u3066\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>BCI\uff08\u30d6\u30ec\u30a4\u30f3\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\uff09\u306e\u958b\u767a<\/li>\n\n\n\n<li>\u611f\u60c5\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9<\/li>\n\n\n\n<li>\u3066\u3093\u304b\u3093\u767a\u4f5c\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u958b\u767a<\/li>\n\n\n\n<li>\u7761\u7720\u30b9\u30c6\u30fc\u30b8\u5206\u985e\u30e2\u30c7\u30eb\u306e\u958b\u767a<\/li>\n<\/ul>\n\n\n\n<p>\u4ee5\u4e0b\u306f\u3001MNE Python\u3092\u4f7f\u3063\u3066\u8133\u6ce2\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3080\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3067\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import mne\n\n# \u8133\u6ce2\u30c7\u30fc\u30bf\u30d5\u30a1\u30a4\u30eb\u306e\u30d1\u30b9\neeg_file = \"sample_data.edf\"\n\n# \u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\nraw = mne.io.read_raw_edf(eeg_file, preload=True)\n\n# \u30c7\u30fc\u30bf\u60c5\u5831\u306e\u8868\u793a\nprint(raw)\nprint(raw.info)<\/pre>\n\n\n\n<p>\u3053\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001<code>mne.io.read_raw_edf()<\/code>\u95a2\u6570\u3092\u4f7f\u3063\u3066.edf\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u8133\u6ce2\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3093\u3067\u3044\u307e\u3059\u3002\u8aad\u307f\u8fbc\u3093\u3060\u30c7\u30fc\u30bf\u306f<code>raw<\/code>\u5909\u6570\u306b\u683c\u7d0d\u3055\u308c\u3001<code>raw.info<\/code>\u3067\u30c7\u30fc\u30bf\u306e\u8a73\u7d30\u60c5\u5831\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>MNE Python\u306f\u3001\u8133\u6ce2\u89e3\u6790\u306e\u5206\u91ce\u3067\u5e83\u304f\u4f7f\u308f\u308c\u3066\u3044\u308b\u30c4\u30fc\u30eb\u3067\u3042\u308a\u3001\u305d\u306e\u6a5f\u80fd\u306e\u8c4a\u5bcc\u3055\u3068\u4f7f\u3044\u3084\u3059\u3055\u304b\u3089\u3001\u4eca\u5f8c\u3082\u3055\u3089\u306b\u91cd\u8981\u6027\u304c\u5897\u3057\u3066\u3044\u304f\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002\u7279\u306b\u3001\u6a5f\u68b0\u5b66\u7fd2\u3084\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u306e\u7d44\u307f\u5408\u308f\u305b\u306b\u3088\u308a\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u304b\u3089\u4fa1\u5024\u3042\u308b\u77e5\u898b\u3092\u5f15\u304d\u51fa\u3059\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"i-1\">MNE Python\u306e\u74b0\u5883\u69cb\u7bc9\u65b9\u6cd5\u3010Windows\/Mac\/Linux\u5bfe\u5fdc\u3011<\/h2>\n\n\n\n<p>MNE Python\u306f\u3001Anaconda\u307e\u305f\u306fpip\u306e\u3044\u305a\u308c\u304b\u3092\u4f7f\u3063\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001\u305d\u308c\u305e\u308c\u306e\u65b9\u6cd5\u306b\u3064\u3044\u3066\u3001Windows\u3001Mac\u3001Linux\u306b\u5bfe\u5fdc\u3057\u305f\u624b\u9806\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-2\">Anaconda\u3092\u4f7f\u3063\u305f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u624b\u9806<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Anaconda\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\uff08https:\/\/www.anaconda.com\/products\/individual\uff09\u3002<\/li>\n\n\n\n<li>\u30b3\u30de\u30f3\u30c9\u30d7\u30ed\u30f3\u30d7\u30c8\uff08Windows\uff09\u307e\u305f\u306f\u30bf\u30fc\u30df\u30ca\u30eb\uff08Mac\u3001Linux\uff09\u3092\u958b\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066MNE Python\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">   conda install -c conda-forge mne<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-3\">pip\u3092\u4f7f\u3063\u305f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u624b\u9806<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Python\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\uff08https:\/\/www.python.org\/downloads\/\uff09\u3002<\/li>\n\n\n\n<li>\u30b3\u30de\u30f3\u30c9\u30d7\u30ed\u30f3\u30d7\u30c8\uff08Windows\uff09\u307e\u305f\u306f\u30bf\u30fc\u30df\u30ca\u30eb\uff08Mac\u3001Linux\uff09\u3092\u958b\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066MNE Python\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">   pip install mne<\/pre>\n\n\n\n<p>OS\u306b\u3088\u308b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u624b\u9806\u306e\u9055\u3044\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Windows\u306e\u5834\u5408\u3001Anaconda\u307e\u305f\u306fpip\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u5f8c\u3001\u30b3\u30de\u30f3\u30c9\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u7ba1\u7406\u8005\u6a29\u9650\u3067\u958b\u304f\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n\n\n\n<li>Mac\u3068Linux\u306e\u5834\u5408\u3001\u30bf\u30fc\u30df\u30ca\u30eb\u3092\u958b\u3044\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p>MNE Python\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3068\u3001NumPy\u3001SciPy\u3001Matplotlib\u3001Pandas\u3001Scikit-learn\u306a\u3069\u306e\u4f9d\u5b58\u30d1\u30c3\u30b1\u30fc\u30b8\u3082\u81ea\u52d5\u7684\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u969b\u306e\u6ce8\u610f\u70b9\u3068\u30c8\u30e9\u30d6\u30eb\u30b7\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u524d\u306b\u3001Python\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u304c3.5\u4ee5\u4e0a\u3067\u3042\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n\n\n\n<li>\u53e4\u3044\u30d0\u30fc\u30b8\u30e7\u30f3\u306eMNE Python\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u30a2\u30f3\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304b\u3089\u65b0\u3057\u3044\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n\n\n\n<li>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u4e2d\u306b\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u305f\u5834\u5408\u306f\u3001\u30a8\u30e9\u30fc\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u78ba\u8a8d\u3057\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u3067\u89e3\u6c7a\u7b56\u3092\u691c\u7d22\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u4ee5\u4e0b\u306f\u3001MNE Python\u304c\u6b63\u3057\u304f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u305f\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u305f\u3081\u306e\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3067\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import mne\n\n# MNE Python\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u8868\u793a\nprint(mne.__version__)\n\n# MNE Python\u306e\u95a2\u6570\u4e00\u89a7\u3092\u8868\u793a\nprint(dir(mne))<\/pre>\n\n\n\n<p>\u3053\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3059\u308b\u3068\u3001\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308bMNE Python\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3068\u3001\u5229\u7528\u53ef\u80fd\u306a\u95a2\u6570\u306e\u4e00\u89a7\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001MNE Python\u304c\u6b63\u5e38\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u305f\u3053\u3068\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u74b0\u5883\u69cb\u7bc9\u304c\u5b8c\u4e86\u3057\u305f\u3089\u3001\u6b21\u306fMNE Python\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9\u3092\u5b66\u3073\u307e\u3057\u3087\u3046\u3002\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u3001\u524d\u51e6\u7406\u3001\u53ef\u8996\u5316\u306a\u3069\u3001\u8133\u6ce2\u89e3\u6790\u306e\u57fa\u790e\u3092\u6bb5\u968e\u7684\u306b\u7406\u89e3\u3057\u3066\u3044\u304f\u3053\u3068\u304c\u5927\u5207\u3067\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"i-4\">MNE Python\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9<\/h2>\n\n\n\n<p>MNE Python\u3092\u4f7f\u3063\u305f\u8133\u6ce2\u89e3\u6790\u306e\u57fa\u672c\u7684\u306a\u6d41\u308c\u306f\u3001\u4ee5\u4e0b\u306e3\u3064\u306e\u30b9\u30c6\u30c3\u30d7\u306b\u5206\u3051\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f<\/li>\n\n\n\n<li>\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406<\/li>\n\n\n\n<li>\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316<\/li>\n<\/ol>\n\n\n\n<p>\u305d\u308c\u3067\u306f\u3001\u5404\u30b9\u30c6\u30c3\u30d7\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-5\">\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u65b9\u6cd5<\/h3>\n\n\n\n<p>MNE Python\u306f\u3001\u4ee5\u4e0b\u306e\u30d5\u30a1\u30a4\u30eb\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>.edf, .bdf, .gdf (European Data Format)<\/li>\n\n\n\n<li>.cnt (Neuroscan CNT format)<\/li>\n\n\n\n<li>.fif (Elekta Neuromag FIF format)<\/li>\n\n\n\n<li>.brainvision (BrainVision format)<\/li>\n<\/ul>\n\n\n\n<p>\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u306b\u306f\u3001<code>mne.io<\/code>\u30e2\u30b8\u30e5\u30fc\u30eb\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001.edf\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3080\u5834\u5408\u306f<code>mne.io.read_raw_edf()<\/code>\u95a2\u6570\u3092\u4f7f\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import mne\n\n# .edf\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u8fbc\u307f\nraw = mne.io.read_raw_edf(\"sample.edf\", preload=True)<\/pre>\n\n\n\n<p><code>preload<\/code>\u30d1\u30e9\u30e1\u30fc\u30bf\u3092<code>True<\/code>\u306b\u8a2d\u5b9a\u3059\u308b\u3068\u3001\u30c7\u30fc\u30bf\u304c\u30e1\u30e2\u30ea\u306b\u8aad\u307f\u8fbc\u307e\u308c\u307e\u3059\u3002\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5834\u5408\u306f\u3001<code>False<\/code>\u306b\u8a2d\u5b9a\u3057\u3066\u30c7\u30a3\u30b9\u30af\u304b\u3089\u8aad\u307f\u8fbc\u3080\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-6\">\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\uff08\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3001\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u9664\u53bb\u306a\u3069\uff09<\/h3>\n\n\n\n<p>\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3067\u306f\u3001\u4ee5\u4e0b\u306e\u624b\u6cd5\u304c\u3088\u304f\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\uff1a<\/li>\n\n\n\n<li>\u30cf\u30a4\u30d1\u30b9\u30d5\u30a3\u30eb\u30bf\uff1a\u4f4e\u5468\u6ce2\u6570\u306e\u30ce\u30a4\u30ba\u3092\u9664\u53bb\uff08<code>raw.filter()<\/code>\uff09<\/li>\n\n\n\n<li>\u30ed\u30fc\u30d1\u30b9\u30d5\u30a3\u30eb\u30bf\uff1a\u9ad8\u5468\u6ce2\u6570\u306e\u30ce\u30a4\u30ba\u3092\u9664\u53bb\uff08<code>raw.filter()<\/code>\uff09<\/li>\n\n\n\n<li>\u30ce\u30c3\u30c1\u30d5\u30a3\u30eb\u30bf\uff1a\u7279\u5b9a\u306e\u5468\u6ce2\u6570\uff08\u96fb\u6e90\u30ce\u30a4\u30ba\u306a\u3069\uff09\u3092\u9664\u53bb\uff08<code>raw.notch_filter()<\/code>\uff09<\/li>\n<\/ul>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># \u30cf\u30a4\u30d1\u30b9\u30d5\u30a3\u30eb\u30bf\uff081Hz\u4ee5\u4e0b\u3092\u30ab\u30c3\u30c8\uff09\nraw.filter(1, None, fir_design='firwin')\n\n# \u30ed\u30fc\u30d1\u30b9\u30d5\u30a3\u30eb\u30bf\uff0840Hz\u4ee5\u4e0a\u3092\u30ab\u30c3\u30c8\uff09\nraw.filter(None, 40, fir_design='firwin')\n\n# \u30ce\u30c3\u30c1\u30d5\u30a3\u30eb\u30bf\uff0850Hz\u3068100Hz\u3092\u9664\u53bb\uff09\nraw.notch_filter(freqs=[50, 100], picks=picks, method='fir')<\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30ea\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\uff1a<code>raw.resample()<\/code>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c7\u30fc\u30bf\u306e\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u30ec\u30fc\u30c8\u3092\u5909\u66f4\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># 250Hz\u306b\u30ea\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\nraw.resample(250, npad=\"auto\")<\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u306e\u9664\u53bb\uff1a<\/li>\n\n\n\n<li>EOG\uff08\u773c\u96fb\u56f3\uff09\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u306e\u9664\u53bb\uff1a<code>mne.preprocessing.ICA<\/code>\u30af\u30e9\u30b9\u3092\u4f7f\u7528<\/li>\n\n\n\n<li>\u5fc3\u96fb\u56f3\uff08ECG\uff09\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u306e\u9664\u53bb\uff1a<code>mne.preprocessing.ICA<\/code>\u30af\u30e9\u30b9\u3092\u4f7f\u7528<\/li>\n\n\n\n<li>\u7b4b\u96fb\u56f3\uff08EMG\uff09\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u306e\u9664\u53bb\uff1a<code>mne.preprocessing.ICA<\/code>\u30af\u30e9\u30b9\u307e\u305f\u306f<code>mne.filter()<\/code>\u95a2\u6570\u3092\u4f7f\u7528<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-7\">\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316\uff08\u6ce2\u5f62\u8868\u793a\u3001\u30c8\u30dd\u30b0\u30e9\u30d5\u30a3\u30fc\u8868\u793a\u306a\u3069\uff09<\/h3>\n\n\n\n<p>MNE Python\u3067\u306f\u3001\u4ee5\u4e0b\u306e\u53ef\u8996\u5316\u624b\u6cd5\u304c\u5229\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6ce2\u5f62\u8868\u793a\uff1a<code>raw.plot()<\/code>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u6ce2\u5f62\u3092\u8868\u793a\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># \u6ce2\u5f62\u306e\u8868\u793a\nraw.plot(n_channels=10, scalings='auto', title='Raw EEG Data', show=True, block=True)<\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30c8\u30dd\u30b0\u30e9\u30d5\u30a3\u30fc\u8868\u793a\uff1a<code>mne.viz.plot_topomap()<\/code>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u30c8\u30dd\u30b0\u30e9\u30d5\u30a3\u30fc\uff08\u982d\u76ae\u4e0a\u306e\u96fb\u4f4d\u5206\u5e03\uff09\u3092\u8868\u793a\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># \u30c8\u30dd\u30b0\u30e9\u30d5\u30a3\u30fc\u306e\u8868\u793a\nmne.viz.plot_topomap(data[:, 0], pos=info, show=False)<\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6642\u9593\u5468\u6ce2\u6570\u5206\u6790\uff1a<code>mne.time_frequency.tfr_morlet()<\/code>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790\u3092\u884c\u3044\u3001<code>mne.viz.plot_tfr()<\/code>\u95a2\u6570\u3067\u7d50\u679c\u3092\u53ef\u8996\u5316\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># \u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790\nfreqs = np.arange(6, 30, 3)  # \u5206\u6790\u3059\u308b\u5468\u6ce2\u6570\u5e2f\u57df\nn_cycles = freqs \/ 2.  # \u5404\u5468\u6ce2\u6570\u306b\u304a\u3051\u308b\u30e2\u30eb\u30ec\u30fc\u30a6\u30a7\u30fc\u30d6\u30ec\u30c3\u30c8\u306e\u30b5\u30a4\u30af\u30eb\u6570\npower = mne.time_frequency.tfr_morlet(epochs, freqs=freqs, n_cycles=n_cycles, use_fft=True, return_itc=False, decim=3, n_jobs=1)\n\n# \u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790\u7d50\u679c\u306e\u53ef\u8996\u5316\npower.plot([0], baseline=(None, 0), mode='mean', vmin=vmin, vmax=vmax, title='Time-Frequency Power')<\/pre>\n\n\n\n<p>\u4ee5\u4e0a\u304c\u3001MNE Python\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9\u306e\u6982\u8981\u3067\u3059\u3002\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u3001\u524d\u51e6\u7406\u3001\u53ef\u8996\u5316\u306e\u5404\u30b9\u30c6\u30c3\u30d7\u3092\u7406\u89e3\u3057\u3001\u9069\u5207\u306a\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u8133\u6ce2\u89e3\u6790\u306e\u57fa\u790e\u3092\u7fd2\u5f97\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u6b21\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067\u306f\u3001\u3053\u308c\u3089\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9\u3092\u5fdc\u7528\u3057\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u8133\u6ce2\u89e3\u6790\u306e\u6d41\u308c\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"i-8\">MNE Python\u3092\u4f7f\u3063\u305f\u6a5f\u68b0\u5b66\u7fd2\u306e\u6d41\u308c<\/h2>\n\n\n\n<p>MNE Python\u3092\u4f7f\u3063\u305f\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e00\u822c\u7684\u306a\u6d41\u308c\u306f\u3001\u4ee5\u4e0b\u306e3\u3064\u306e\u30b9\u30c6\u30c3\u30d7\u306b\u5206\u3051\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u7279\u5fb4\u91cf\u306e\u62bd\u51fa<\/li>\n\n\n\n<li>\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u9078\u629e\u3068\u5b66\u7fd2<\/li>\n\n\n\n<li>\u30e2\u30c7\u30eb\u306e\u8a55\u4fa1\u3068\u89e3\u91c8<\/li>\n<\/ol>\n\n\n\n<p>\u305d\u308c\u3067\u306f\u3001\u5404\u30b9\u30c6\u30c3\u30d7\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u8aac\u660e\u3057\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-9\">\u7279\u5fb4\u91cf\u306e\u62bd\u51fa\u65b9\u6cd5<\/h3>\n\n\n\n<p>\u7279\u5fb4\u91cf\u62bd\u51fa\u306f\u3001\u751f\u306e\u8133\u6ce2\u30c7\u30fc\u30bf\u304b\u3089\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u5165\u529b\u3059\u308b\u7279\u5fb4\u91cf\u3092\u8a08\u7b97\u3059\u308b\u904e\u7a0b\u3067\u3059\u3002\u4ee5\u4e0b\u306f\u3001\u3088\u304f\u4f7f\u308f\u308c\u308b\u7279\u5fb4\u91cf\u306e\u4f8b\u3067\u3059\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6642\u9593\u9818\u57df\u306e\u7279\u5fb4\u91cf\n<ul class=\"wp-block-list\">\n<li>\u5e73\u5747\u3001\u5206\u6563\u3001\u6700\u5927\u5024\u3001\u6700\u5c0f\u5024\u3001\u6b6a\u5ea6\u3001\u5c16\u5ea6\u306a\u3069\u306e\u7d71\u8a08\u91cf<\/li>\n\n\n\n<li>\u79fb\u52d5\u5e73\u5747\u3001\u79fb\u52d5\u5206\u6563\u306a\u3069\u306e\u6642\u7cfb\u5217\u7279\u5fb4<\/li>\n\n\n\n<li>\u7a4d\u5206\u5024\u3001\u5fae\u5206\u5024\u3001\u30bc\u30ed\u4ea4\u5dee\u7387\u306a\u3069\u306e\u6ce2\u5f62\u7279\u6027<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import numpy as np\n\n# \u5e73\u5747\u3068\u5206\u6563\u306e\u8a08\u7b97\nmean = np.mean(data, axis=1)\nstd = np.std(data, axis=1)<\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u5468\u6ce2\u6570\u9818\u57df\u306e\u7279\u5fb4\u91cf\n<ul class=\"wp-block-list\">\n<li>\u30d5\u30fc\u30ea\u30a8\u5909\u63db\u3092\u7528\u3044\u305f\u30d1\u30ef\u30fc\u30b9\u30da\u30af\u30c8\u30eb\u5bc6\u5ea6\u306e\u63a8\u5b9a<\/li>\n\n\n\n<li>\u30c7\u30eb\u30bf\u5e2f\u57df\uff081-4Hz\uff09\u3001\u30b7\u30fc\u30bf\u5e2f\u57df\uff084-8Hz\uff09\u3001\u30a2\u30eb\u30d5\u30a1\u5e2f\u57df\uff088-13Hz\uff09\u3001\u30d9\u30fc\u30bf\u5e2f\u57df\uff0813-30Hz\uff09\u306e\u30d1\u30ef\u30fc<\/li>\n\n\n\n<li>\u30b9\u30da\u30af\u30c8\u30eb\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u3001\u30b9\u30da\u30af\u30c8\u30eb\u91cd\u5fc3\u306a\u3069\u306e\u5468\u6ce2\u6570\u7279\u6027<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">from scipy.signal import welch\n\n# \u30a6\u30a7\u30eb\u30c1\u6cd5\u306b\u3088\u308b\u30d1\u30ef\u30fc\u30b9\u30da\u30af\u30c8\u30eb\u5bc6\u5ea6\u306e\u63a8\u5b9a\nfreqs, psd = welch(data, fs=sfreq, nperseg=1024)\n\n# \u5468\u6ce2\u6570\u5e2f\u57df\u306e\u30d1\u30ef\u30fc\u306e\u8a08\u7b97\ndelta_power = np.mean(psd[(freqs &gt;= 1) &amp; (freqs &lt; 4)], axis=0)\ntheta_power = np.mean(psd[(freqs &gt;= 4) &amp; (freqs &lt; 8)], axis=0)\nalpha_power = np.mean(psd[(freqs &gt;= 8) &amp; (freqs &lt; 13)], axis=0)\nbeta_power = np.mean(psd[(freqs &gt;= 13) &amp; (freqs &lt; 30)], axis=0)<\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u6642\u9593\u5468\u6ce2\u6570\u9818\u57df\u306e\u7279\u5fb4\u91cf\n<ul class=\"wp-block-list\">\n<li>\u77ed\u6642\u9593\u30d5\u30fc\u30ea\u30a8\u5909\u63db\uff08STFT\uff09\u3001\u30a6\u30a7\u30fc\u30d6\u30ec\u30c3\u30c8\u5909\u63db\u3001\u30d2\u30eb\u30d9\u30eb\u30c8\u5909\u63db\u306a\u3069\u3092\u7528\u3044\u305f\u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790<\/li>\n\n\n\n<li>\u6642\u9593\u5468\u6ce2\u6570\u5e73\u9762\u4e0a\u306e\u7d71\u8a08\u91cf\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u5206\u5e03\u3001\u540c\u671f\u30fb\u4f4d\u76f8\u540c\u671f\u306a\u3069\u306e\u7279\u5fb4\u91cf<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import mne\n\n# \u30e2\u30eb\u30ec\u30fc\u30a6\u30a7\u30fc\u30d6\u30ec\u30c3\u30c8\u3092\u7528\u3044\u305f\u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790\nfreqs = np.arange(2, 30, 2)\nn_cycles = freqs \/ 2\npower = mne.time_frequency.tfr_morlet(epochs, freqs=freqs, n_cycles=n_cycles, return_itc=False)<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-10\">\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u9078\u629e\u3068\u5b66\u7fd2<\/h3>\n\n\n\n<p>\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u9078\u629e\u306f\u3001\u89e3\u6c7a\u3059\u3079\u304d\u554f\u984c\uff08\u5206\u985e\u3001\u56de\u5e30\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306a\u3069\uff09\u3068\u3001\u30c7\u30fc\u30bf\u306e\u7279\u6027\u306b\u5fdc\u3058\u3066\u884c\u3044\u307e\u3059\u3002\u4ee5\u4e0b\u306f\u3001\u3088\u304f\u4f7f\u308f\u308c\u308b\u30e2\u30c7\u30eb\u306e\u4f8b\u3067\u3059\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\n<ul class=\"wp-block-list\">\n<li>\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\uff08SVM\uff09\uff1a\u4e8c\u5024\u5206\u985e\u3084\u591a\u30af\u30e9\u30b9\u5206\u985e\u306b\u9069\u3057\u305f\u624b\u6cd5<\/li>\n\n\n\n<li>\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\uff1a\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306e\u4e00\u7a2e\u3067\u3001\u5206\u985e\u3068\u56de\u5e30\u306b\u5229\u7528\u53ef\u80fd<\/li>\n\n\n\n<li>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff1a\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u542b\u3080\u3001\u8907\u96d1\u306a\u975e\u7dda\u5f62\u95a2\u6570\u306e\u5b66\u7fd2\u306b\u9069\u3057\u305f\u624b\u6cd5<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">from sklearn.svm import SVC\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.neural_network import MLPClassifier\n\n# SVM\u306e\u5b66\u7fd2\nsvm = SVC(kernel='rbf', C=1.0, gamma='scale')\nsvm.fit(X_train, y_train)\n\n# \u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306e\u5b66\u7fd2\nrf = RandomForestClassifier(n_estimators=100, max_depth=5)\nrf.fit(X_train, y_train)\n\n# \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b66\u7fd2\nmlp = MLPClassifier(hidden_layer_sizes=(100,), activation='relu', solver='adam')\nmlp.fit(X_train, y_train)<\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\n<ul class=\"wp-block-list\">\n<li>k-means\uff1a\u30c7\u30fc\u30bf\u3092k\u500b\u306e\u30af\u30e9\u30b9\u30bf\u306b\u5206\u5272\u3059\u308b\u624b\u6cd5<\/li>\n\n\n\n<li>\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09\uff1a\u9ad8\u6b21\u5143\u30c7\u30fc\u30bf\u3092\u4f4e\u6b21\u5143\u7a7a\u9593\u306b\u5c04\u5f71\u3059\u308b\u6b21\u5143\u524a\u6e1b\u624b\u6cd5<\/li>\n\n\n\n<li>\u72ec\u7acb\u6210\u5206\u5206\u6790\uff08ICA\uff09\uff1a\u591a\u5909\u91cf\u30c7\u30fc\u30bf\u3092\u7d71\u8a08\u7684\u306b\u72ec\u7acb\u306a\u6210\u5206\u306b\u5206\u89e3\u3059\u308b\u624b\u6cd5<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">from sklearn.cluster import KMeans\nfrom sklearn.decomposition import PCA, FastICA\n\n# k-means\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\nkmeans = KMeans(n_clusters=3, random_state=0)\nlabels = kmeans.fit_predict(X)\n\n# PCA\u306b\u3088\u308b\u6b21\u5143\u524a\u6e1b\npca = PCA(n_components=2)\nX_pca = pca.fit_transform(X)\n\n# ICA\u306b\u3088\u308b\u72ec\u7acb\u6210\u5206\u306e\u62bd\u51fa\nica = FastICA(n_components=2)\nX_ica = ica.fit_transform(X)<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-11\">\u30e2\u30c7\u30eb\u306e\u8a55\u4fa1\u3068\u89e3\u91c8<\/h3>\n\n\n\n<p>\u30e2\u30c7\u30eb\u306e\u8a55\u4fa1\u306f\u3001\u5b66\u7fd2\u3057\u305f\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u3092\u6e2c\u5b9a\u3057\u3001\u904e\u5b66\u7fd2\u3084\u672a\u5b66\u7fd2\u3092\u691c\u51fa\u3059\u308b\u305f\u3081\u306b\u91cd\u8981\u3067\u3059\u3002\u4ee5\u4e0b\u306f\u3001\u8a55\u4fa1\u65b9\u6cd5\u306e\u4f8b\u3067\u3059\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4ea4\u5dee\u691c\u8a3c\n<ul class=\"wp-block-list\">\n<li>k-fold\u4ea4\u5dee\u691c\u8a3c\uff1a\u30c7\u30fc\u30bf\u3092k\u500b\u306b\u5206\u5272\u3057\u3001k-1\u500b\u3092\u5b66\u7fd2\u306b\u30011\u500b\u3092\u30c6\u30b9\u30c8\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5<\/li>\n\n\n\n<li>leave-one-out\u4ea4\u5dee\u691c\u8a3c\uff1a1\u3064\u306e\u30c7\u30fc\u30bf\u3092\u30c6\u30b9\u30c8\u306b\u3001\u6b8b\u308a\u3092\u5b66\u7fd2\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">from sklearn.model_selection import cross_val_score, LeaveOneOut\n\n# k-fold\u4ea4\u5dee\u691c\u8a3c\nscores = cross_val_score(clf, X, y, cv=5)\n\n# leave-one-out\u4ea4\u5dee\u691c\u8a3c\nloo = LeaveOneOut()\nscores = cross_val_score(clf, X, y, cv=loo)<\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>\u8a55\u4fa1\u6307\u6a19\n<ul class=\"wp-block-list\">\n<li>\u6b63\u89e3\u7387\u3001\u7cbe\u5ea6\u3001\u518d\u73fe\u7387\u3001F1\u30b9\u30b3\u30a2\uff1a\u5206\u985e\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u8a55\u4fa1\u6307\u6a19<\/li>\n\n\n\n<li>ROC\u66f2\u7dda\u3001AUC\uff1a2\u5024\u5206\u985e\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u8a55\u4fa1\u6307\u6a19<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_curve, auc\n\n# \u6b63\u89e3\u7387\u3001\u7cbe\u5ea6\u3001\u518d\u73fe\u7387\u3001F1\u30b9\u30b3\u30a2\u306e\u8a08\u7b97\nacc = accuracy_score(y_test, y_pred)\nprec = precision_score(y_test, y_pred)\nrec = recall_score(y_test, y_pred)\nf1 = f1_score(y_test, y_pred)\n\n# ROC\u66f2\u7dda\u3068AUC\u306e\u8a08\u7b97\nfpr, tpr, _ = roc_curve(y_test, y_pred_prob)\nroc_auc = auc(fpr, tpr)<\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u7279\u5fb4\u91cf\u306e\u91cd\u8981\u5ea6\u306e\u89e3\u91c8\n<ul class=\"wp-block-list\">\n<li>\u7279\u5fb4\u91cf\u306e\u91cd\u8981\u5ea6\uff1a\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u306b\u5bfe\u3059\u308b\u5404\u7279\u5fb4\u91cf\u306e\u5bc4\u4e0e\u5ea6<\/li>\n\n\n\n<li>\u7279\u5fb4\u9078\u629e\uff1a\u91cd\u8981\u306a\u7279\u5fb4\u91cf\u3092\u9078\u629e\u3057\u3001\u30e2\u30c7\u30eb\u306e\u8907\u96d1\u3055\u3092\u524a\u6e1b\u3059\u308b\u65b9\u6cd5<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># \u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306b\u3088\u308b\u7279\u5fb4\u91cf\u306e\u91cd\u8981\u5ea6\u306e\u8a08\u7b97\nimportances = rf.feature_importances_\nindices = np.argsort(importances)[::-1]<\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>\u8133\u6ce2\u306e\u7a7a\u9593\u5206\u5e03\u306e\u89e3\u91c8\n<ul class=\"wp-block-list\">\n<li>\u8133\u6ce2\u30c8\u30dd\u30b0\u30e9\u30d5\u30a3\u30fc\uff1a\u982d\u76ae\u4e0a\u306e\u96fb\u4f4d\u5206\u5e03\u30922\u6b21\u5143\u30de\u30c3\u30d7\u3067\u8868\u73fe\u3059\u308b\u65b9\u6cd5<\/li>\n\n\n\n<li>\u4fe1\u53f7\u6e90\u63a8\u5b9a\uff1a\u8133\u6ce2\u4fe1\u53f7\u306e\u767a\u751f\u6e90\u3092\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\uff08\u30c0\u30a4\u30dd\u30fc\u30eb\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u3001\u30d3\u30fc\u30e0\u30d5\u30a9\u30fc\u30df\u30f3\u30b0\u306a\u3069\uff09<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># \u8133\u6ce2\u30c8\u30dd\u30b0\u30e9\u30d5\u30a3\u30fc\u306e\u63cf\u753b\nmne.viz.plot_topomap(data[:, 0], pos=info, show=False)\n\n# \u4fe1\u53f7\u6e90\u63a8\u5b9a\uff08\u30c0\u30a4\u30dd\u30fc\u30eb\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\uff09\ndip = mne.fit_dipole(evoked, cov, sphere=sphere)\ndip.plot_locations(trans=trans, subject=subject, subjects_dir=subjects_dir)<\/pre>\n\n\n\n<p>\u4ee5\u4e0a\u304c\u3001MNE Python\u3092\u4f7f\u3063\u305f\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e00\u9023\u306e\u6d41\u308c\u306e\u6982\u8981\u3067\u3059\u3002\u7279\u5fb4\u91cf\u62bd\u51fa\u3001\u30e2\u30c7\u30eb\u306e\u9078\u629e\u3068\u5b66\u7fd2\u3001\u8a55\u4fa1\u3068\u89e3\u91c8\u306e\u5404\u30b9\u30c6\u30c3\u30d7\u3092\u7406\u89e3\u3057\u3001\u9069\u5207\u306a\u624b\u6cd5\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u3067\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u304b\u3089\u6709\u7528\u306a\u60c5\u5831\u3092\u5f15\u304d\u51fa\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u6b21\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067\u306f\u3001\u3053\u308c\u3089\u306e\u624b\u6cd5\u3092\u5fdc\u7528\u3057\u305f\u8133\u6ce2\u89e3\u6790\u306e\u5b9f\u8df5\u4f8b\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"i-12\">MNE Python\u3092\u4f7f\u3063\u305f\u8133\u6ce2\u89e3\u6790\u306e\u5b9f\u8df5\u4f8b<\/h2>\n\n\n\n<p>MNE Python\u3092\u4f7f\u3063\u305f\u8133\u6ce2\u89e3\u6790\u306e\u5b9f\u8df5\u4f8b\u3068\u3057\u3066\u3001\u611f\u60c5\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3068\u30d6\u30ec\u30a4\u30f3\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\uff08BCI\uff09\u306e\u69cb\u7bc9\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u5fdc\u7528\u4f8b\u3067\u306f\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u9069\u5207\u306a\u524d\u51e6\u7406\u3001\u7279\u5fb4\u91cf\u62bd\u51fa\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u9078\u629e\u304c\u91cd\u8981\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-13\">\u611f\u60c5\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a<\/h3>\n\n\n\n<p>\u611f\u60c5\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3067\u306f\u3001\u4ee5\u4e0b\u306e\u624b\u9806\u3067\u8133\u6ce2\u30c7\u30fc\u30bf\u304b\u3089\u611f\u60c5\u3092\u8a8d\u8b58\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u611f\u60c5\u559a\u8d77\u523a\u6fc0\uff08\u753b\u50cf\u3001\u97f3\u697d\u3001\u52d5\u753b\u306a\u3069\uff09\u3092\u7528\u3044\u3066\u8133\u6ce2\u3092\u8a08\u6e2c<\/li>\n\n\n\n<li>\u611f\u60c5\u30e9\u30d9\u30eb\uff08\u559c\u3073\u3001\u60b2\u3057\u307f\u3001\u6012\u308a\u306a\u3069\uff09\u3092\u4ed8\u4e0e\u3057\u3066\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210<\/li>\n\n\n\n<li>\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u8133\u6ce2\u304b\u3089\u611f\u60c5\u3092\u5206\u985e<\/li>\n<\/ol>\n\n\n\n<p>\u611f\u60c5\u8a8d\u8b58\u306b\u6709\u52b9\u306a\u8133\u6ce2\u306e\u7279\u5fb4\u91cf\u306b\u306f\u3001\u5468\u6ce2\u6570\u9818\u57df\u306e\u7279\u5fb4\u91cf\uff08\u03b1\u6ce2\u3001\u03b2\u6ce2\u3001\u03b8\u6ce2\u3001\u03b4\u6ce2\u306e\u30d1\u30ef\u30fc\u30b9\u30da\u30af\u30c8\u30eb\uff09\u3001\u6642\u9593\u9818\u57df\u306e\u7279\u5fb4\u91cf\uff08\u632f\u5e45\u3001\u6a19\u6e96\u504f\u5dee\u3001\u6b6a\u5ea6\u3001\u5c16\u5ea6\u306a\u3069\uff09\u3001\u975e\u7dda\u5f62\u7279\u5fb4\u91cf\uff08\u30d5\u30e9\u30af\u30bf\u30eb\u6b21\u5143\u3001\u30b5\u30f3\u30d7\u30eb\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u306a\u3069\uff09\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u611f\u60c5\u8a8d\u8b58\u306e\u305f\u3081\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3068\u3057\u3066\u306f\u3001\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\uff08SVM\uff09\u3001k-\u6700\u8fd1\u508d\u6cd5\uff08k-NN\uff09\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\uff08CNN\u3084LSTM\u306a\u3069\uff09\u304c\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">from sklearn.svm import SVC\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import accuracy_score\n\n# \u7279\u5fb4\u91cf\u3068\u30e9\u30d9\u30eb\u306e\u6e96\u5099\nX = ... # \u8133\u6ce2\u306e\u7279\u5fb4\u91cf\ny = ... # \u611f\u60c5\u30e9\u30d9\u30eb\n\n# \u30c7\u30fc\u30bf\u306e\u5206\u5272\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n\n# SVM\u306b\u3088\u308b\u611f\u60c5\u8a8d\u8b58\nsvm = SVC(kernel='rbf', C=1.0, gamma='scale')\nsvm.fit(X_train, y_train)\ny_pred_svm = svm.predict(X_test)\nacc_svm = accuracy_score(y_test, y_pred_svm)\n\n# \u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306b\u3088\u308b\u611f\u60c5\u8a8d\u8b58\nrf = RandomForestClassifier(n_estimators=100, max_depth=5)\nrf.fit(X_train, y_train)\ny_pred_rf = rf.predict(X_test)\nacc_rf = accuracy_score(y_test, y_pred_rf)\n\n# k-NN\u306b\u3088\u308b\u611f\u60c5\u8a8d\u8b58\nknn = KNeighborsClassifier(n_neighbors=5)\nknn.fit(X_train, y_train)\ny_pred_knn = knn.predict(X_test)\nacc_knn = accuracy_score(y_test, y_pred_knn)<\/pre>\n\n\n\n<p>\u611f\u60c5\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u5fdc\u7528\u4f8b\u3068\u3057\u3066\u306f\u3001\u30a8\u30f3\u30bf\u30fc\u30c6\u30a4\u30f3\u30e1\u30f3\u30c8\uff08\u30b2\u30fc\u30e0\u3001\u97f3\u697d\u3001\u6620\u753b\u306a\u3069\uff09\u3001\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\uff08\u6d88\u8cbb\u8005\u306e\u611f\u60c5\u5206\u6790\uff09\u3001\u30d8\u30eb\u30b9\u30b1\u30a2\uff08\u30b9\u30c8\u30ec\u30b9\u7ba1\u7406\u3001\u30e1\u30f3\u30bf\u30eb\u30d8\u30eb\u30b9\u8a3a\u65ad\uff09\u3001\u6559\u80b2\uff08\u5b66\u7fd2\u8005\u306e\u611f\u60c5\u306b\u57fa\u3065\u304f\u9069\u5fdc\u578b\u5b66\u7fd2\uff09\u306a\u3069\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-14\">\u30d6\u30ec\u30a4\u30f3\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\uff08BCI\uff09\u306e\u69cb\u7bc9<\/h3>\n\n\n\n<p>BCI\u306f\u3001\u8133\u6d3b\u52d5\u3092\u6e2c\u5b9a\u3057\u3001\u305d\u308c\u3092\u5229\u7528\u3057\u3066\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u3084\u30ed\u30dc\u30c3\u30c8\u3092\u5236\u5fa1\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u3067\u3059\u3002BCI\u306b\u306f\u4fb5\u8972\u578b\uff08\u8133\u306b\u96fb\u6975\u3092\u57cb\u3081\u8fbc\u3080\u65b9\u5f0f\uff09\u3068\u975e\u4fb5\u8972\u578b\uff08\u8133\u6ce2\u8a08\u306a\u3069\u3092\u7528\u3044\u308b\u65b9\u5f0f\uff09\u304c\u3042\u308a\u307e\u3059\u3002\u975e\u4fb5\u8972\u578bBCI\u306e\u7a2e\u985e\u3068\u3057\u3066\u306f\u3001\u4e8b\u8c61\u95a2\u9023\u96fb\u4f4d\uff08ERP\uff09\u3092\u5229\u7528\u3059\u308bBCI\u3001\u904b\u52d5\u60f3\u50cf\u3092\u5229\u7528\u3059\u308bBCI\u3001\u5b9a\u5e38\u72b6\u614b\u8996\u899a\u8a98\u767a\u96fb\u4f4d\uff08SSVEP\uff09\u3092\u5229\u7528\u3059\u308bBCI\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>BCI\u306e\u69cb\u7bc9\u306b\u306f\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\uff08\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3001\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u9664\u53bb\u306a\u3069\uff09\u3001\u7279\u5fb4\u62bd\u51fa\uff08\u5468\u6ce2\u6570\u89e3\u6790\u3001\u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790\u3001\u5171\u901a\u7a7a\u9593\u30d1\u30bf\u30fc\u30f3\uff08CSP\uff09\u306a\u3069\uff09\u3001\u5206\u985e\uff08SVM\u3084LDA\u306a\u3069\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\uff09\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n\n\n\n<p>BCI\u306e\u305f\u3081\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3068\u3057\u3066\u306f\u3001\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\uff08SVM\uff09\u3001\u7dda\u5f62\u5224\u5225\u5206\u6790\uff08LDA\uff09\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3001\u6df1\u5c64\u5b66\u7fd2\uff08CNN\u3084LSTM\u306a\u3069\uff09\u304c\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import accuracy_score\n\n# \u7279\u5fb4\u91cf\u3068\u30e9\u30d9\u30eb\u306e\u6e96\u5099\nX = ... # \u8133\u6ce2\u306e\u7279\u5fb4\u91cf\ny = ... # BCI\u306e\u30b3\u30de\u30f3\u30c9\u30e9\u30d9\u30eb\n\n# \u30c7\u30fc\u30bf\u306e\u5206\u5272\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n\n# LDA\u306b\u3088\u308b\u5206\u985e\nlda = LinearDiscriminantAnalysis()\nlda.fit(X_train, y_train)\ny_pred_lda = lda.predict(X_test)\nacc_lda = accuracy_score(y_test, y_pred_lda)\n\n# SVM\u306b\u3088\u308b\u5206\u985e\nsvm = SVC(kernel='linear', C=1.0)\nsvm.fit(X_train, y_train)\ny_pred_svm = svm.predict(X_test)\nacc_svm = accuracy_score(y_test, y_pred_svm)<\/pre>\n\n\n\n<p>BCI\u306e\u5fdc\u7528\u4f8b\u3068\u3057\u3066\u306f\u3001\u533b\u7642\u798f\u7949\uff08\u7fa9\u80a2\u5236\u5fa1\u3001\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u652f\u63f4\uff09\u3001\u30a8\u30f3\u30bf\u30fc\u30c6\u30a4\u30f3\u30e1\u30f3\u30c8\uff08\u30b2\u30fc\u30e0\u3001\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\uff09\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\uff08\u8133\u6ce2\u306b\u3088\u308b\u500b\u4eba\u8a8d\u8a3c\uff09\u3001\u6559\u80b2\uff08\u96c6\u4e2d\u5ea6\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u3001\u9069\u5fdc\u578b\u5b66\u7fd2\uff09\u306a\u3069\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0a\u304c\u3001MNE Python\u3092\u4f7f\u3063\u305f\u8133\u6ce2\u89e3\u6790\u306e\u5b9f\u8df5\u4f8b\u306e\u6982\u8981\u3067\u3059\u3002\u611f\u60c5\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3084BCI\u306e\u69cb\u7bc9\u3067\u306f\u3001MNE Python\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u51e6\u7406\u3084\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u9069\u7528\u3092\u52b9\u7387\u7684\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u5fdc\u7528\u4f8b\u306f\u3001\u8133\u6ce2\u89e3\u6790\u306e\u53ef\u80fd\u6027\u3092\u793a\u3059\u3068\u3068\u3082\u306b\u3001MNE Python\u306e\u6709\u7528\u6027\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u4eca\u5f8c\u3001\u8133\u6ce2\u89e3\u6790\u6280\u8853\u306e\u3055\u3089\u306a\u308b\u767a\u5c55\u306b\u3088\u308a\u3001\u3088\u308a\u9ad8\u5ea6\u3067\u5b9f\u7528\u7684\u306a\u5fdc\u7528\u304c\u5b9f\u73fe\u3055\u308c\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"i-15\">MNE Python\u306e\u767a\u5c55\u7684\u306a\u4f7f\u3044\u65b9\u3068\u6700\u65b0\u52d5\u5411<\/h2>\n\n\n\n<p>MNE Python\u306f\u3001\u8133\u6ce2\u89e3\u6790\u306e\u5206\u91ce\u3067\u5e83\u304f\u4f7f\u308f\u308c\u3066\u3044\u308b\u30c4\u30fc\u30eb\u3067\u3059\u304c\u3001\u305d\u306e\u5fdc\u7528\u7bc4\u56f2\u306f\u8133\u6ce2\u30c7\u30fc\u30bf\u306b\u9650\u5b9a\u3055\u308c\u307e\u305b\u3093\u3002\u3053\u3053\u3067\u306f\u3001MNE Python\u306e\u767a\u5c55\u7684\u306a\u4f7f\u3044\u65b9\u3068\u3057\u3066\u3001MEG\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u3078\u306e\u5fdc\u7528\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u306e\u7d44\u307f\u5408\u308f\u305b\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-16\">MEG\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u3078\u306e\u5fdc\u7528<\/h3>\n\n\n\n<p>MEG\uff08\u8133\u78c1\u56f3\uff09\u306f\u3001\u8133\u5185\u306e\u795e\u7d4c\u6d3b\u52d5\u306b\u4f34\u3046\u5fae\u5f31\u306a\u78c1\u5834\u3092\u6e2c\u5b9a\u3059\u308b\u975e\u4fb5\u8972\u7684\u306a\u8133\u6a5f\u80fd\u8a08\u6e2c\u6280\u8853\u3067\u3059\u3002MEG\u306f\u8133\u6ce2\uff08EEG\uff09\u3068\u6bd4\u8f03\u3057\u3066\u3001\u3088\u308a\u9ad8\u3044\u6642\u9593\u5206\u89e3\u80fd\u3068\u7a7a\u9593\u5206\u89e3\u80fd\u3092\u6301\u3061\u3001\u76ae\u8cea\u306e\u795e\u7d4c\u6d3b\u52d5\u3092\u76f4\u63a5\u7684\u306b\u6349\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001\u8133\u306e\u6df1\u90e8\u69cb\u9020\u306e\u6d3b\u52d5\u3082\u6e2c\u5b9a\u53ef\u80fd\u3067\u3059\u3002<\/p>\n\n\n\n<p>MEG\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u306b\u306f\u3001\u74b0\u5883\u30ce\u30a4\u30ba\uff08\u96fb\u6e90\u30ce\u30a4\u30ba\u3001\u78c1\u5834\u30ce\u30a4\u30ba\u306a\u3069\uff09\u306e\u9664\u53bb\u3001\u5fc3\u78c1\u56f3\uff08MCG\uff09\u3084\u773c\u7403\u904b\u52d5\u306a\u3069\u306e\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u306e\u9664\u53bb\u3001\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3001\u30a8\u30dd\u30c3\u30af\u5316\uff08\u523a\u6fc0\u3084\u53cd\u5fdc\u306b\u57fa\u3065\u304f\u30c7\u30fc\u30bf\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\uff09\u306a\u3069\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import mne\n\n# MEG\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\nraw = mne.io.read_raw_fif('sample_data.fif', preload=True)\n\n# \u74b0\u5883\u30ce\u30a4\u30ba\u306e\u9664\u53bb\nraw.notch_filter(np.arange(60, 241, 60), fir_design='firwin')\n\n# \u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u306e\u9664\u53bb\nraw.filter(1, 40, fir_design='firwin')  # 1-40 Hz\u306e\u30d0\u30f3\u30c9\u30d1\u30b9\u30d5\u30a3\u30eb\u30bf\nraw.plot(block=True)  # \u624b\u52d5\u3067\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u3092\u9078\u629e\u3057\u3001\u9664\u53bb\n\n# \u30a8\u30dd\u30c3\u30af\u5316\nevents = mne.find_events(raw)  # \u523a\u6fc0\u306e\u30bf\u30a4\u30df\u30f3\u30b0\u3092\u691c\u51fa\nepochs = mne.Epochs(raw, events, tmin=-0.2, tmax=0.5)  # \u523a\u6fc0\u524d0.2\u79d2\u304b\u3089\u523a\u6fc0\u5f8c0.5\u79d2\u307e\u3067\u306e\u30a8\u30dd\u30c3\u30af\u3092\u4f5c\u6210<\/pre>\n\n\n\n<p>MEG\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u624b\u6cd5\u3068\u3057\u3066\u306f\u3001\u4fe1\u53f7\u6e90\u63a8\u5b9a\uff08MEG\u4fe1\u53f7\u304b\u3089\u8133\u5185\u306e\u6d3b\u52d5\u6e90\u3092\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\uff09\u3001\u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790\uff08MEG\u4fe1\u53f7\u306e\u6642\u9593-\u5468\u6ce2\u6570\u7279\u6027\u3092\u89e3\u6790\u3059\u308b\u65b9\u6cd5\uff09\u3001\u6a5f\u80fd\u7684\u7d50\u5408\u6027\u89e3\u6790\uff08\u8133\u5185\u306e\u7570\u306a\u308b\u9818\u57df\u9593\u306e\u95a2\u4fc2\u6027\u3092\u89e3\u6790\u3059\u308b\u65b9\u6cd5\uff09\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># \u4fe1\u53f7\u6e90\u63a8\u5b9a\uff08dSPM\uff09\nfwd = mne.make_forward_solution(epochs.info, trans=trans, src=src, bem=bem, eeg=False, meg=True)\ninv = mne.minimum_norm.make_inverse_operator(epochs.info, fwd, cov, loose=0.2, depth=0.8)\nstc = mne.minimum_norm.apply_inverse(epochs.average(), inv, lambda2=1.0 \/ 9.0, method='dSPM')\n\n# \u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790\uff08\u30e2\u30eb\u30ec\u30fc\u30a6\u30a7\u30fc\u30d6\u30ec\u30c3\u30c8\u5909\u63db\uff09\nfreqs = np.arange(6, 30, 3)  # \u5206\u6790\u3059\u308b\u5468\u6ce2\u6570\u5e2f\u57df\nn_cycles = freqs \/ 2.  # \u5404\u5468\u6ce2\u6570\u306b\u304a\u3051\u308b\u30a6\u30a7\u30fc\u30d6\u30ec\u30c3\u30c8\u306e\u30b5\u30a4\u30af\u30eb\u6570\npower = mne.time_frequency.tfr_morlet(epochs, freqs=freqs, n_cycles=n_cycles, use_fft=True, return_itc=False, decim=3, n_jobs=1)<\/pre>\n\n\n\n<p>MNE Python\u306f\u3001MEG\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u3001\u524d\u51e6\u7406\u3001\u53ef\u8996\u5316\u306e\u305f\u3081\u306e\u6a5f\u80fd\u3092\u63d0\u4f9b\u3059\u308b\u3068\u3068\u3082\u306b\u3001\u4fe1\u53f7\u6e90\u63a8\u5b9a\u3001\u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790\u3001\u6a5f\u80fd\u7684\u7d50\u5408\u6027\u89e3\u6790\u306a\u3069\u306e\u9ad8\u5ea6\u306a\u89e3\u6790\u624b\u6cd5\u3092\u5b9f\u88c5\u3057\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001\u7d71\u8a08\u89e3\u6790\u3084\u30de\u30b7\u30f3\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u306e\u7d71\u5408\u304c\u5bb9\u6613\u3067\u3042\u308b\u305f\u3081\u3001MEG\u30c7\u30fc\u30bf\u89e3\u6790\u306b\u304a\u3051\u308bMNE Python\u306e\u5f79\u5272\u306f\u5927\u304d\u3044\u3068\u8a00\u3048\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-17\">\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u306e\u7d44\u307f\u5408\u308f\u305b<\/h3>\n\n\n\n<p>\u8fd1\u5e74\u3001\u8133\u6ce2\u89e3\u6790\u306e\u5206\u91ce\u3067\u3082\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u5fdc\u7528\u304c\u9032\u3093\u3067\u3044\u307e\u3059\u3002\u8133\u6ce2\u304b\u3089\u306e\u611f\u60c5\u8a8d\u8b58\u3001\u610f\u56f3\u63a8\u5b9a\u3001\u8a8d\u77e5\u72b6\u614b\u63a8\u5b9a\u306a\u3069\u3001\u69d8\u3005\u306a\u30bf\u30b9\u30af\u306b\u304a\u3044\u3066\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u304c\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001\u8133\u6ce2\u3092\u7528\u3044\u305fBCI\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\u3084\u3001\u3066\u3093\u304b\u3093\u767a\u4f5c\u306e\u691c\u51fa\u3001\u7761\u7720\u30b9\u30c6\u30fc\u30b8\u306e\u5206\u985e\u306a\u3069\u3001\u533b\u7642\u5206\u91ce\u3067\u306e\u5fdc\u7528\u3082\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u8133\u6ce2\u89e3\u6790\u3067\u306f\u3001\u751f\u6ce2\u5f62\u30c7\u30fc\u30bf\u306e\u6b63\u898f\u5316\u3001\u6a19\u6e96\u5316\u3001\u5468\u6ce2\u6570\u5e2f\u57df\u306e\u30d1\u30ef\u30fc\u7279\u5fb4\u91cf\u306e\u62bd\u51fa\u3001\u30a6\u30a7\u30fc\u30d6\u30ec\u30c3\u30c8\u5909\u63db\u306a\u3069\u306e\u6642\u9593-\u5468\u6ce2\u6570\u7279\u5fb4\u91cf\u306e\u62bd\u51fa\u3001\u30c7\u30fc\u30bf\u62e1\u5f35\uff08\u30ce\u30a4\u30ba\u4ed8\u52a0\u3001\u6642\u9593\u30b7\u30d5\u30c8\u3001\u5468\u6ce2\u6570\u30b7\u30d5\u30c8\u306a\u3069\uff09\u3068\u3044\u3063\u305f\u524d\u51e6\u7406\u304c\u884c\u308f\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<p>MNE Python\u3092\u7528\u3044\u3066\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3059\u308b\u969b\u306b\u306f\u3001Keras\u3001TensorFlow\u3001PyTorch\u306a\u3069\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u306e\u7d71\u5408\u304c\u53ef\u80fd\u3067\u3059\u3002CNN\u3001RNN\u3001LSTM\u306a\u3069\u306e\u5404\u7a2e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u9069\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import tensorflow as tf\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Dropout, Conv2D, MaxPooling2D, Flatten\n\n# \u7279\u5fb4\u91cf\u3068\u30e9\u30d9\u30eb\u306e\u6e96\u5099\nX = ...  # \u8133\u6ce2\u306e\u7279\u5fb4\u91cf\ny = ...  # \u30e9\u30d9\u30eb\n\n# CNN\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\nmodel = Sequential()\nmodel.add(Conv2D(32, (3, 3), activation='relu', input_shape=(X.shape[1], X.shape[2], 1)))\nmodel.add(Conv2D(64, (3, 3), activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2, 2)))\nmodel.add(Dropout(0.25))\nmodel.add(Flatten())\nmodel.add(Dense(128, activation='relu'))\nmodel.add(Dropout(0.5))\nmodel.add(Dense(num_classes, activation='softmax'))\n\nmodel.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\nmodel.fit(X, y, epochs=10, batch_size=32, validation_split=0.1)<\/pre>\n\n\n\n<p>\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u8133\u6ce2\u89e3\u6790\u306e\u5229\u70b9\u3068\u3057\u3066\u306f\u3001\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u306e\u81ea\u52d5\u5316\u3001\u8907\u96d1\u306a\u975e\u7dda\u5f62\u95a2\u4fc2\u306e\u30e2\u30c7\u30eb\u5316\u3001\u5927\u898f\u6a21\u30c7\u30fc\u30bf\u304b\u3089\u306e\u52b9\u7387\u7684\u306a\u5b66\u7fd2\u306a\u3069\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002\u4e00\u65b9\u3067\u3001\u5927\u91cf\u306e\u5b66\u7fd2\u30c7\u30fc\u30bf\u304c\u5fc5\u8981\u3067\u3042\u308b\u3053\u3068\u3001\u904e\u5b66\u7fd2\u306e\u30ea\u30b9\u30af\u304c\u9ad8\u3044\u3053\u3068\u3001\u89e3\u91c8\u6027\u304c\u4f4e\u3044\uff08\u30d6\u30e9\u30c3\u30af\u30dc\u30c3\u30af\u30b9\u5316\uff09\u3053\u3068\u306a\u3069\u306e\u8ab2\u984c\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>MNE Python\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u3067\u3001\u8133\u6ce2\u89e3\u6790\u306e\u53ef\u80fd\u6027\u304c\u3055\u3089\u306b\u5e83\u304c\u308b\u3068\u671f\u5f85\u3055\u308c\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u4e0a\u8ff0\u306e\u8ab2\u984c\u306b\u3082\u7559\u610f\u3057\u3064\u3064\u3001\u9069\u5207\u306a\u624b\u6cd5\u3092\u9078\u629e\u3057\u3001\u614e\u91cd\u306b\u5206\u6790\u3092\u9032\u3081\u3066\u3044\u304f\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0a\u304c\u3001MNE Python\u306e\u767a\u5c55\u7684\u306a\u4f7f\u3044\u65b9\u3068\u6700\u65b0\u52d5\u5411\u306b\u95a2\u3059\u308b\u8a73\u7d30\u306a\u8aac\u660e\u3067\u3059\u3002MEG\u30c7\u30fc\u30bf\u89e3\u6790\u3078\u306e\u5fdc\u7528\u3084\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u306e\u7d44\u307f\u5408\u308f\u305b\u306f\u3001\u8133\u6ce2\u89e3\u6790\u306e\u65b0\u305f\u306a\u53ef\u80fd\u6027\u3092\u793a\u3059\u3082\u306e\u3067\u3042\u308a\u3001MNE Python\u306f\u305d\u308c\u3089\u3092\u5b9f\u73fe\u3059\u308b\u305f\u3081\u306e\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3068\u306a\u308a\u307e\u3059\u3002\u4eca\u5f8c\u306e\u3055\u3089\u306a\u308b\u767a\u5c55\u306b\u671f\u5f85\u304c\u6301\u305f\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"i-18\">\u307e\u3068\u3081\uff1aMNE Python\u30de\u30b9\u30bf\u30fc\u3078\u306e\u9053<\/h2>\n\n\n\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u3001MNE Python\u3092\u7528\u3044\u305f\u8133\u6ce2\u89e3\u6790\u306e\u57fa\u790e\u304b\u3089\u5fdc\u7528\u307e\u3067\u3001\u5e45\u5e83\u3044\u30c8\u30d4\u30c3\u30af\u3092\u7db2\u7f85\u3057\u3066\u304d\u307e\u3057\u305f\u3002MNE Python\u306f\u3001\u8133\u6ce2\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\u3001\u524d\u51e6\u7406\u3001\u53ef\u8996\u5316\u3001\u6a5f\u68b0\u5b66\u7fd2\u3068\u306e\u7d71\u5408\u306a\u3069\u3001\u8133\u6ce2\u89e3\u6790\u306e\u3042\u3089\u3086\u308b\u5834\u9762\u3067\u6d3b\u7528\u3067\u304d\u308b\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3067\u3042\u308b\u3053\u3068\u304c\u304a\u308f\u304b\u308a\u3044\u305f\u3060\u3051\u305f\u304b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u3053\u3053\u3067\u306f\u3001MNE Python\u306e\u30de\u30b9\u30bf\u30fc\u3092\u76ee\u6307\u3059\u305f\u3081\u306e\u5b66\u7fd2\u30ea\u30bd\u30fc\u30b9\u3068\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3092\u7d39\u4ecb\u3059\u308b\u3068\u3068\u3082\u306b\u3001\u4eca\u5f8c\u306e\u5b66\u7fd2\u30b9\u30c6\u30c3\u30d7\u3068\u30a2\u30c9\u30d0\u30a4\u30b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-19\">\u5b66\u7fd2\u30ea\u30bd\u30fc\u30b9\u306e\u7d39\u4ecb<\/h3>\n\n\n\n<p>MNE Python\u306e\u30de\u30b9\u30bf\u30fc\u3092\u76ee\u6307\u3059\u4e0a\u3067\u3001\u8c4a\u5bcc\u306a\u5b66\u7fd2\u30ea\u30bd\u30fc\u30b9\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002\u4ee5\u4e0b\u306b\u3001\u4e3b\u8981\u306a\u5b66\u7fd2\u30ea\u30bd\u30fc\u30b9\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>MNE Python\u306e\u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\uff1a<a href=\"https:\/\/mne.tools\/stable\/index.html\">https:\/\/mne.tools\/stable\/index.html<\/a>\n<ul class=\"wp-block-list\">\n<li>API\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9\u3001\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3001\u30ac\u30a4\u30c9\u306a\u3069\u3092\u63d0\u4f9b<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>MNE Python\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\uff1a<a href=\"https:\/\/mne.tools\/stable\/auto_tutorials\/index.html\">https:\/\/mne.tools\/stable\/auto_tutorials\/index.html<\/a>\n<ul class=\"wp-block-list\">\n<li>\u521d\u7d1a\u304b\u3089\u4e0a\u7d1a\u307e\u3067\u3001\u6bb5\u968e\u7684\u306b\u5b66\u3079\u308b\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u63d0\u4f9b<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p>\u3053\u308c\u3089\u306e\u5b66\u7fd2\u30ea\u30bd\u30fc\u30b9\u3084\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3092\u7a4d\u6975\u7684\u306b\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001MNE Python\u306e\u7406\u89e3\u3092\u6df1\u3081\u3001\u52b9\u679c\u7684\u306b\u5b66\u7fd2\u3092\u9032\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"i-20\">\u4eca\u5f8c\u306e\u5b66\u7fd2\u30b9\u30c6\u30c3\u30d7\u3068\u30a2\u30c9\u30d0\u30a4\u30b9<\/h3>\n\n\n\n<p>MNE Python\u306e\u30de\u30b9\u30bf\u30fc\u3092\u76ee\u6307\u3059\u305f\u3081\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b9\u30c6\u30c3\u30d7\u3092\u8e0f\u3080\u3053\u3068\u3092\u304a\u3059\u3059\u3081\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u57fa\u790e\u7684\u306a\u8133\u6ce2\u89e3\u6790\u306e\u6982\u5ff5\u3068\u624b\u6cd5\u306e\u7fd2\u5f97\n<ul class=\"wp-block-list\">\n<li>\u8133\u6ce2\u306e\u751f\u7406\u5b66\u7684\u80cc\u666f\u3001\u8a08\u6e2c\u539f\u7406\u3001\u524d\u51e6\u7406\u3001\u89e3\u6790\u624b\u6cd5\u306a\u3069\u306e\u57fa\u790e\u77e5\u8b58\u3092\u8eab\u306b\u3064\u3051\u308b<\/li>\n\n\n\n<li>\u95a2\u9023\u66f8\u7c4d\u3084\u8ad6\u6587\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u8b1b\u5ea7\u306a\u3069\u3092\u6d3b\u7528<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>MNE Python\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9\u306e\u7fd2\u5f97\n<ul class=\"wp-block-list\">\n<li>\u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3084\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u901a\u3057\u3066\u3001MNE Python\u306e\u57fa\u672c\u7684\u306a\u6a5f\u80fd\u3068\u4f7f\u3044\u65b9\u3092\u5b66\u3076<\/li>\n\n\n\n<li>\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u3001\u5b9f\u969b\u306b\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u52d5\u304b\u3057\u3066\u307f\u308b<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import mne\n\n# \u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f\ndata_path = mne.datasets.sample.data_path()\nraw_fname = data_path + '\/MEG\/sample\/sample_audvis_raw.fif'\nraw = mne.io.read_raw_fif(raw_fname, preload=True)\n\n# \u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\nraw.filter(1, 30, fir_design='firwin')  # \u30d0\u30f3\u30c9\u30d1\u30b9\u30d5\u30a3\u30eb\u30bf\uff081-30 Hz\uff09\nraw.plot(block=True)  # \u6ce2\u5f62\u306e\u53ef\u8996\u5316\n\n# \u30a8\u30dd\u30c3\u30af\u5316\nevents = mne.find_events(raw, stim_channel='STI 014')\nevent_id = {'auditory\/left': 1, 'auditory\/right': 2, 'visual\/left': 3, 'visual\/right': 4}\nepochs = mne.Epochs(raw, events, event_id, tmin=-0.2, tmax=0.5, preload=True)\nepochs.average().plot(time_unit='s')  # \u52a0\u7b97\u5e73\u5747\u6ce2\u5f62\u306e\u53ef\u8996\u5316<\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>\u5b9f\u969b\u306e\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u7df4\u7fd2\n<ul class=\"wp-block-list\">\n<li>\u81ea\u8eab\u306e\u7814\u7a76\u3084\u696d\u52d9\u3067\u6271\u3046\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u3001MNE Python\u306b\u3088\u308b\u89e3\u6790\u3092\u8a66\u307f\u308b<\/li>\n\n\n\n<li>\u516c\u958b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5229\u7528\u3057\u3066\u3001\u69d8\u3005\u306a\u89e3\u6790\u624b\u6cd5\u3092\u8a66\u3059<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u95a2\u9023\u3059\u308b\u6570\u5b66\u3001\u7d71\u8a08\u5b66\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u77e5\u8b58\u306e\u7fd2\u5f97\n<ul class=\"wp-block-list\">\n<li>\u4fe1\u53f7\u51e6\u7406\u3001\u7d71\u8a08\u89e3\u6790\u3001\u6a5f\u68b0\u5b66\u7fd2\u306a\u3069\u306e\u95a2\u9023\u5206\u91ce\u306e\u77e5\u8b58\u3092\u8eab\u306b\u3064\u3051\u308b<\/li>\n\n\n\n<li>\u30aa\u30f3\u30e9\u30a4\u30f3\u8b1b\u5ea7\u3084\u66f8\u7c4d\u3001\u8ad6\u6587\u306a\u3069\u3092\u6d3b\u7528<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u6700\u65b0\u306e\u7814\u7a76\u52d5\u5411\u306e\u30d5\u30a9\u30ed\u30fc\n<ul class=\"wp-block-list\">\n<li>\u8133\u6ce2\u89e3\u6790\u3084 MNE Python \u306b\u95a2\u3059\u308b\u6700\u65b0\u306e\u7814\u7a76\u8ad6\u6587\u3092\u5b9a\u671f\u7684\u306b\u30c1\u30a7\u30c3\u30af\u3059\u308b<\/li>\n\n\n\n<li>\u95a2\u9023\u3059\u308b\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9\u3084\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u306b\u53c2\u52a0\u3059\u308b<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3078\u306e\u53c2\u52a0\u3068\u4ea4\u6d41\n<ul class=\"wp-block-list\">\n<li>\u30d5\u30a9\u30fc\u30e9\u30e0\u3084\u30e1\u30fc\u30ea\u30f3\u30b0\u30ea\u30b9\u30c8\u3067\u8cea\u554f\u3092\u3057\u305f\u308a\u3001\u4ed6\u306e\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u306b\u7b54\u3048\u305f\u308a\u3059\u308b<\/li>\n\n\n\n<li>\u30bd\u30fc\u30b7\u30e3\u30eb\u30e1\u30c7\u30a3\u30a2\u3092\u901a\u3058\u3066\u3001\u4ed6\u306e\u7814\u7a76\u8005\u3084\u958b\u767a\u8005\u3068\u3064\u306a\u304c\u308b<\/li>\n\n\n\n<li>\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9\u3084\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u3067\u3001\u81ea\u8eab\u306e\u7814\u7a76\u6210\u679c\u3092\u767a\u8868\u3057\u3001\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u5f97\u308b<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p>\u4ee5\u4e0a\u306e\u30b9\u30c6\u30c3\u30d7\u3092\u7740\u5b9f\u306b\u8e0f\u3093\u3067\u3044\u304f\u3053\u3068\u3067\u3001MNE Python\u3092\u7528\u3044\u305f\u8133\u6ce2\u89e3\u6790\u306e\u30b9\u30ad\u30eb\u3092\u5411\u4e0a\u3055\u305b\u3001\u6700\u7d42\u7684\u306b\u306fMNE Python\u306e\u30de\u30b9\u30bf\u30fc\u3092\u76ee\u6307\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u305f\u3060\u3057\u3001\u5b66\u7fd2\u306e\u904e\u7a0b\u3067\u306f\u3001\u56f0\u96e3\u306b\u76f4\u9762\u3059\u308b\u3053\u3068\u3082\u3042\u308b\u3067\u3057\u3087\u3046\u3002\u305d\u306e\u3088\u3046\u306a\u6642\u306f\u3001\u4e00\u4eba\u3067\u62b1\u3048\u8fbc\u307e\u305a\u306b\u3001\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3092\u6d3b\u7528\u3057\u3066\u52a9\u3051\u3092\u6c42\u3081\u308b\u3053\u3068\u304c\u5927\u5207\u3067\u3059\u3002\u307e\u305f\u3001\u7d99\u7d9a\u7684\u306a\u5b66\u7fd2\u3068\u5b9f\u8df5\u3092\u5fc3\u304c\u3051\u3001\u8ae6\u3081\u305a\u306b\u524d\u9032\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002<\/p>\n\n\n\n<p>MNE Python\u306f\u3001\u8133\u6ce2\u89e3\u6790\u306e\u305f\u3081\u306e\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3067\u3042\u308a\u3001\u305d\u306e\u53ef\u80fd\u6027\u306f\u8a08\u308a\u77e5\u308c\u307e\u305b\u3093\u3002MNE Python\u306e\u30de\u30b9\u30bf\u30fc\u3092\u76ee\u6307\u3059\u9053\u306e\u308a\u306f\u6c7a\u3057\u3066\u5e73\u5766\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u304c\u3001\u305d\u306e\u904e\u7a0b\u3067\u5f97\u3089\u308c\u308b\u77e5\u8b58\u3068\u7d4c\u9a13\u306f\u3001\u3042\u306a\u305f\u306e\u7814\u7a76\u8005\u30fb\u958b\u767a\u8005\u3068\u3057\u3066\u306e\u30ad\u30e3\u30ea\u30a2\u3092\u5927\u304d\u304f\u98db\u8e8d\u3055\u305b\u3066\u304f\u308c\u308b\u306f\u305a\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u672c\u8a18\u4e8b\u304cMNE Python\u3092\u5b66\u3076\u4e0a\u3067\u306e\u4e00\u52a9\u3068\u306a\u308c\u3070\u5e78\u3044\u3067\u3059\u3002MNE 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