EEG_preprocess.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import mne \n",
    "from mne.preprocessing import ICA \n",
    "from mne.time_frequency import tfr_morlet\n",
    "import scipy.io as scio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step1 读数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ch_names = ['Fpz','Fp1','Fp2','AF3','AF4','AF7','AF8','Fz','F1','F2','F3','F4','F5','F6','F7','F8','FCz','FC1','FC2','FC3','FC4','FC5','FC6','FT7','FT8','Cz','C1','C2','C3','C4','C5','C6','T7','T8','CP1','CP2','CP3','CP4','CP5','CP6','TP7','TP8','Pz','P3','P4','P5','P6','P7','P8','POz',\n",
    "            'PO3','PO4','PO5','PO6','PO7','PO8','Oz','O1','O2','ECG','HEOR','HEOL','VEOU','VEOL']\n",
    "ch_types = ['eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg',\n",
    "            'eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg',\n",
    "            'eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg',\n",
    "            'eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg',\n",
    "            'eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg',\n",
    "            'eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','eeg','ecg',\n",
    "            'misc','misc','misc','misc'\n",
    "]\n",
    "\n",
    "sfreq = 1000\n",
    "info = mne.create_info(\n",
    "        ch_names=ch_names,\n",
    "        ch_types=ch_types,\n",
    "        sfreq=1000\n",
    ")\n",
    "info.set_montage('standard_1020')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 公开数据集\n",
    "# data_path = r'D:\\DATA\\BCI Competition IV dataset 2a\\A01T.mat'\n",
    "# structured_data = scio.loadmat(data_path)\n",
    "# eeg_data = structured_data['data'][0, 4]['X'].item().transpose((1, 0))\n",
    "\n",
    "#课题室数据集\n",
    "path = r'D:\\DATA\\课题室（二分类）\\5.17脑电数据\\郑力文\\EEG.mat'\n",
    "EEG = scio.loadmat(path)\n",
    "eeg_data = EEG['EEG']['data'].item()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x19f0bd10c40>]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot(eeg_data[62][:4000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating RawArray with float64 data, n_channels=64, n_times=1418000\n",
      "    Range : 0 ... 1417999 =      0.000 ...  1417.999 secs\n",
      "Ready.\n",
      "Opening raw-browser...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<MNEBrowseFigure size 1382.4x732.24 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Effective window size : 2.048 (s)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<MNELineFigure size 720x252 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Effective window size : 2.048 (s)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw = mne.io.RawArray(data=eeg_data, info=info)\n",
    "raw.plot(duration=5, n_channels=32, clipping=None)\n",
    "raw.plot_psd(average=True)\n",
    "raw.plot_sensors(ch_type='eeg', show_names=True)\n",
    "raw.plot_psd_topo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step2 滤波"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filtering raw data in 1 contiguous segment\n",
      "Setting up band-pass filter from 0.1 - 30 Hz\n",
      "\n",
      "FIR filter parameters\n",
      "---------------------\n",
      "Designing a one-pass, zero-phase, non-causal bandpass filter:\n",
      "- Windowed time-domain design (firwin) method\n",
      "- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation\n",
      "- Lower passband edge: 0.10\n",
      "- Lower transition bandwidth: 0.10 Hz (-6 dB cutoff frequency: 0.05 Hz)\n",
      "- Upper passband edge: 30.00 Hz\n",
      "- Upper transition bandwidth: 7.50 Hz (-6 dB cutoff frequency: 33.75 Hz)\n",
      "- Filter length: 33001 samples (33.001 sec)\n",
      "\n",
      "Effective window size : 2.048 (s)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<MNELineFigure size 720x252 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Wi3Hq1CnC4TB9fX2Mjo4yNDTE8PAwoVCI/v5+pqam6OnpIRqNJo8WTq+nu7ubSCTCmTNnmJiYYGBggJGRkZLep/7+/orbp0r8OhVyn3p6eipunyrx66R90j4VY59mZmYqbp8q8etU6H3KhWU7lSAfzGwH8A3n3B0p294L/Cfgdc65mfi2DwE45/40fv9x4I+ccz9c7P07OztdpiVijh8/zrlz5+Ztq6+v581vfnPy/rFjx3j44YcxM+66664V7V8mZsbGjRt55StfOW8OtRTO0NBQ8i8CsjopAwLKgXiUAzGz4865Qyt9va8jy2Z2H/C7wM8mGuW4R4F3mlmtme0EdgHPLPV+iTP4pdu7d+8NUyTa29vn3V+3bh0HDx6ku7s767nI2XDO8cQTT/Cxj31s3tJ1UjgNDQ1+lyA+UwYElAPxKAeSq2IuHfcg8EOgw8wGzex9wMeBJuDbZnbSzP4WwDn3AvAQcAp4DPh159zcUp8xN5f5KfX19ezYsWPetk2bNs27v27dOgD27NlTkOXjZmZmtCxdkWQ6W6OsLsqAgHIgHuVAclXM1TAecM61O+eqnXNbnXOfcs7d5pzb5pw7EL/855Tn/4lz7lbnXIdz7p+z+YzUpePS7dmzZ95Z/TZu3Djv8XXr1mFmHDp0iB/84AcLNt7gNeVPPfUUzzzzDOFwOJvSADh37pxOelIEW7Zs8bsE8ZkyIKAciEc5kFyVxAF++bLYNIeGhgZe9apXsW3bNl71qlfdMH+4qqqKlpYWgsEgb3zjG/mHf/iH5CoaqZxzfPGLX2T9+vWsX7+eL37xi1kvSxOJRBgZGVneTsmypc9Pl9VHGRBQDsSjHEiuinqAX6F1dHS4XKY6vPTSS8mjJ6enp/nCF77AK1/5SsyM0dFRRkZGmJmZ4d5772Xnzp2A1wB//vOf55d/+ZcXPIDvhRdeALxTbu7evZv9+/evuEZZWiwWW3AZP1kdlAEB5UA8yoGU9QF++Xbt2rWcXr9jx47kWs2NjY28+93vprq6murqanbv3s3b3vY23vOe9yQbZYDa2lp+7ud+js9//vOMj48v+RlaHL3wTp486XcJ4jNlQEA5EI9yILnSyHKaU6dOcerUqWW/LhwO841vfIPZ2Vlqa2vZt28ft956K9XV1fNGlgOBAG9961v1W66IiIhIERR9ZNnMGs0suPQziy8fjf+2bdtW9Lr6+nre8Y538Iu/+Ivcd999zMzM8Mgjj/Dggw/S39+fPDlKLBbL6lTasnL5WIBcypsyIKAciEc5kFwtObJsZgHgncC7gLuBCFALhIB/Av7OOXe2wHVm5dChQ+7YsWM5v8/Ro0eXnC7R3NzM3NwcU1NTS77fqVOnOHnyJA888ABmxt13383NN9+cc50iIiIisrhijCw/AdwKfAjYHF/qbRPwGuAp4M/N7JdWWkA+LXRSkuW68847F50m0dLSwute9zruu+8+9u3bt+T77d27l7vvvpsnnngCgLGxsbzUKZklDtKU1UsZEFAOxKMcSK6yaZZf75z7Y+fcc8655CLBzrmrzrmHnXM/B3y5cCVmb7F1lpejpaWFV7/61ZjZDY9VV1dz4MCBZDN9++23Jw8KXMjVq1dpaWlhcHCQWCyWcUk6yZ8DBw74XYL4TBkQUA7EoxxIrpZslp1zNyxebGatltJJZnqOH/LZhLa1tXHXXXfR2NhIdXU1ra2t7Nmzhze84Q2sX79+3nNvvfXWRd9reHiY4eFh9u/fzwsvvMD09HTe6pQb9fT0+F2C+EwZEFAOxKMcSK6WHIo1s8PAnwFXgT8GPg+0AgEze7dz7rHClpi96urqvL7fzp075y0Tt5Bdu3YxNDTElStXFn3enXfeyVe+8hU6OztxzmUcuZbcZfM1k8qmDAgoB+JRDiRX2UzD+DjwP4EHgX8F/oNzbjNwL/CnBaxt2aLRqC+fa2bcc889SzbrwWAQ5xyxWCxv86vlRhcuXPC7BPGZMiCgHIhHOZBcZdMsVznnvuWc+wpw0Tn3FIBzruT+rhEM+reiXV1dHffeey/79+9ftGlet24do6OjmopRQBs2bPC7BPGZMiCgHIhHOZBcZdMsx1Juh9MeK6kzmsRisaWfVEDr169n9+7dvPnNb2bv3r2sX7/+hgZ+165d9PX1aWS5gPRvK8qAgHIgHuVAcpXN8hGdZjYBGFBvZpN4TbIBdYUsrlxVVVWxd+9e9u7dy9zcHFevXmVwcBDwTnrS3d1NOJz+e4fki86OKMqAgHIgHuVAcrVks+ycK8mz9WVSigfMBYNBbr31Vurr6wGora0lEomoWS6gfB/oKeVHGRBQDsSjHEiuslkN4/9c7HHn3P/KXzm5aWho8LuEjI4cOQLAE088kVwxQ38WKpypqSlaW1v9LkN8pAwIKAfiUQ4kV9lMw2iKX3fgne760fj9nwGeKURRK5Wvk5IUyq5du7hy5QqBQEAH+BWQvimKMiCgHIhHOZBcZXNSkg875z4MbAXucs59wDn3AeAgsL3QBS7H9evX/S5hUVu2bKGmpoYNGzYwNDTkdzkVKzE/XFYvZUBAORCPciC5Ws5QbBuQ2o1ej28rGXNzc36XkNHx48cBOHjwIFu2bKGtrY3BwUGdmKRAbrvtNr9LEJ8pAwLKgXiUA8nVcg4R/RzwjJn9kZn9EfA08JlCFLVSpXrQ3OTkZPJU3Bs3bqStrY2LFy8SiUR8rqwyvfDCC36XID5TBgSUA/EoB5KrrEeWnXN/Ymb/DPy7+KZfcc49W5iyVqa2ttbvEpa0adMmWlpauHLlCpFIhLo6rb6Xb52dnX6XID5TBgSUA/EoB5KrJUeWLWWegHPuhHPuo/HLs5me46dr1675XcKS6uvraWhoIBaLlUW95Sgx7UVWL2VAQDkQj3IgucpmGsYTZvabZjbvYD4zqzGz15rZZ4H3FKa85SmXUdrm5mYATcMokIMHD/pdgvhMGRBQDsSjHEiusmmW7wPmgAfN7IKZnTKzc8AZ4AHgr5xznylgjVkrl5HaRLNcLvWWG40iiDIgoByIRzmQXGVzBr9rwN8Af2Nm1UArEHbOjRW4tmUrl5HltWvXAhpZLhSNIogyIKAciEc5kFwt64TpzrlZ59xwKTbKULpLx7W3t9Pe3p6839jYSG1tLaOjoz5WVbm6u7v9LkF8pgwIKAfiUQ4kV8tqlnNhZp82sxEzez5l2wYz+7aZnYlfr49vNzP7mJmdNbPnzOyubD4jMb2h1HR0dNDR0ZG839jYyPr167lw4YKPVVWu3bt3+12C+EwZEFAOxKMcSK6K1izjrcl8X9q2DwLfcc7tAr4Tvw/wU8Cu+OX9wCey+YBSP4NfQkNDA83NzVy+fNnvUirSwMCA3yWIz5QBAeVAPMqB5KpozbJz7kngatrm+4HPxm9/FnhryvbPOc9TwDoza2cJgUAxe//spZ6UBMDM2LhxI6FQyMeqKldbW0mdWFJ8oAwIKAfiUQ4kV1l3l2b2HTP76bRtf5/j57c554bjty/y49Nn3wS8nPK8wfi2RU1NTeVYTmEcP378hqNxN2/ezJUrV3yqqLKNjY35XYL4TBkQUA7EoxxIrpYzFLsT+D0z+8OUbYfyVYhzzgFuua8zs/eb2TEzOzY+Pk4oFGJ4eJihoSFGR0fp6+sjHA5z6tQpYrEYJ06cAH68lMyJEyeIxWKcOnWKcDhMX18fo6OjDA0NMTw8TCgUor+/n6mpKXp6eohGo3R1dc17j8R1d3c3kUiEM2fOMDExwcDAACMjI4yOjnLp0iUmJiY4c+YMkUiEhoYGRkdHOXbs2Lz36OrqIhqN0tPTw9TUFP39/SW5TyMjIwwMDMzbp8RBFOnvUex9unz5csXtUyV+nQq5Ty+//HLF7VMlfp0KvU+zs7MVt0+V+HUq9D4Fg8GK26dK/DoVep9yYV6PmsUTzU4APwF8DNgG/BLwhHMuq4Pv4u+xA/iGc+6O+P3TwBHn3HB8msVR51yHmf1d/PaD6c9b7P1vu+02d/bs2WzLKZqjR48CcOTIkeS25557jj/+4z/ms5/9LA0NDf4UVqFGRkbYtGmT32WIj5QBAeVAPMqBmNlx59yKB3iXM7Jszrmoc+7XgIeB7wO5pu9Rfnz2v/cAX0/Z/u74qhiHgfGlGmWAbBv/UlBfXw9oreVC0MleRBkQUA7EoxxIrpY8KUmKv03ccM59xsyeA34j2xeb2YPAEaDVzAaBPwT+DHjIzN4HnAd+Pv70bwI/DZwFZoBfyeYzSvUAv0wSJ1BRs5x/69at87sE8ZkyIKAciEc5kFwt2Syb2f8mPpfYzD6W9nDWR9Q55x5Y4KHXZXiuA3492/dOKNWTkmSikeXCuXTpUvIsibI6KQMCyoF4lAPJVTYjy8dSbn8Yb0S4JFVVLWeg3F9qlgtn+/btfpcgPlMGBJQD8SgHkqslu0vnXGIdZMzst1Pvl5pgMOh3CRllOi99bW0toGa5EHp7e7nzzjv9LkN8pAwIKAfiUQ4kV8sdii3pI+gaGxv9LiGjpqamG7ZVVVVRV1fH+Pi4DxVVNn1TFGVAQDkQj3IguSqfI+KyMDMz43cJy7JhwwYuXbrkdxkVJx9rKkp5UwYElAPxKAeSq2wO8JvEG1E2oN7MJhIP4R2LVzKz5kt1NYzTp08D0NHRMW97S0sLly9f9qOkipZp2ousLsqAgHIgHuVAcpVNd/kmYJ1zrsk5V+WcWxu/NJVSowwwOTnpdwkZDQ8PMzx84zLRra2tjIyM+FBRZdMogigDAsqBeJQDyVU2zfIvA8fM7Etm9l4z21zoolYqsXZxudi0aROhUKisTqZSDjSKIMqAgHIgHuVAcrVks+yc+y/xU1r/EbAe+IyZ/dDM/qeZ3WtmJbMERbmtLNHW1sbk5KTOLpRnifPTy+qlDAgoB+JRDiRXWU/ydc71OOc+4py7D3gt3umu3wE8XajiliuxHFu5aGlpYXp6mnA47HcpFWXfvn1+lyA+UwYElAPxKAeSqyWbZTO7xcwOxm//OwDnXNg5903n3G865w4VushsXb9+3e8SlqWurg7nnJrlPDt79qzfJYjPlAEB5UA8yoHkKpt1lj8BPGtm+4DXAN8rbEkrV05n8AOoqakBSvfAxHK1detWv0sQnykDAsqBeJQDyVU20zB6nXMfBDYAhwtcT0VqamrKeGKSRLN85cqVYpdU0UKhkN8liM+UAQHlQDzKgeQqm6HYfwJwzv2VmUULXE9OSvUMfgsdiZtolhMrYphZMcuqWGvWrPG7BPGZMiCgHIhHOZBcZTOy/DNm9moA59zHC1xPTsptCbZEszw7O8vTTz9ddqt5lKrZ2Vm/SxCfKQMCyoF4lAPJVTYjy73AX5pZO/AQ8KBz7tnClrU6JJplgMHBQYaHh9m6dSs7d+6ktbXVx8rKWywW87sE8ZkyIKAciEc5kFwt2Sw75z4KfNTMbgbeCXzazOqBB/Ea594C15i1mZkZv0vI6OjRowAcOXJk3vaqqirq6+sJh8PU19czNzfH+fPnOX/+PI2NjWzfvp2tW7fS3Nxc/KLLWENDg98liM+UAQHlQDzKgeRqOessn3fO/blz7hXAA8BbgRcLVdhKzM3N+V3Csm3cuJGxsbEbtk9PT/Piiy/y7W9/m8cee4znnntOZ/vL0tWrV/0uQXymDAgoB+JRDiRXWa+1ZmZVwE/hjS6/DjiKd1a/klFuS8eB1yyPjo7S3t6+4HOmpqbo7e2lt7eX6upq2tra2Lx5M21tbdTX1xex2vKwZcsWv0sQnykDAsqBeJQDydWS3aWZvQFvJPnNeGfr+xLwfufcdIFrW7ZynMS/efPmZZ2Kc3Z2lsHBQQYHBwFvWbpNmzaxceNGNm7cWHZnMSyEc+fOsXfvXr/LEB8pAwLKgXiUA8lVNkOxHwK+CHzAOTea+oCZ7XTOnStIZSuQesBcudi8eXNyTvNKTE5OMjk5SV9fHwBr166ltbWV1tZWWlpaSnY5vULas2eP3yWIz5QBAeVAPMqB5CqbA/xeC2Bm/3faOsBB4N3AzsKUtnzXrl3zu4Rla2lpYXo6f4P0ExMTTExM8NJLLwHeKbVbWlpoaWlhw4YNrF+/nmAwmLfPK0UnT57krrvu8rsM8ZEyIKAciEc5kFwtZ5JvakdXDdyLt5Rcyairq/O7hGWrqakp6EF7165dY2hoiKGhIQDMjLVr1yYb5/Xr19Pc3EwgkPWxniVP3xRFGRBQDsSjHEiusm6WnXP/b+p9M/t/gGfyXlEOSnWliN27dy/4WLGnjjjnGB8fZ3x8nHPnvBk0gUCApqYm1q9fz7p161i3bh3Nzc1UV1cXtbZ8OX78+IJnTZTVQRkQUA7EoxxIrnJZPmI9cClfheTD2rVr/S4ho8WOxK2pqaGmpoZIJOLbwXmxWCzZQKdqaGigubl53mXNmjUlPwqtb4qiDAgoB+JRDiRXy1k6rhtIDN0asAO4ktjunNuf//KWp1RPSrKYmpoaduzYwdmzZ9m3b5/f5cwzMzPDzMwMw8PDyW2BQIA1a9awdu3a5KWpqYmmpqaSaaJPnDihP7utcsqAgHIgHuVAcrWckeW3FKyKPCnVdZYvXLgAZB5hrq6uprOzk8997nMAJdcwp4vFYsmDCFOZGY2NjcnGuampiTVr1tDU1FT0ueQHDhwo6udJ6VEGBJQD8SgHkqvlzFk+X6gizOx3gP+AN3LdDfwK0I63pnMLcBz4Zefc9cXeZ3JyslAl5qS31zsjeKZmuba2lmAwyHvf+16efvppPv/5z7N9+3buueeesloKzznH1NQUU1NT80aiwfslZs2aNcnmubGxMXm/EI10T0+P1tRc5ZQBAeVAPMqB5Mr3oVgzuwn4P4C9zrmwmT2Ed5bAnwY+4pz7kpn9LfA+4BOLvVc5HpCWmKdsZhw+fJjDhw9z/vx5vvrVr2JmHDhwgF27dpXMFIeViEajjI2NZTytd1VVFY2NjQteVrLM3c6dJbOaofhEGRBQDsSjHEiufG+W46qAejObBRqAYeC1wC/GH/8s3qm1F22Wo9FoAUssjEwjqzfffDM333wzs7OzdHV18aUvfYnq6mruvPNOdu3aVVHrJEej0YwHFybU1dXR0NBAY2MjDQ0NN9zONPXmwoUL3HrrrYUuXUqYMiCgHIhHOZBc+d4sO+eGzOwvgQEgDHwLb9rFmHMu0f0OAjct9V7l2EQGAgFqamq4fv3GGSbV1dUcOnSIQ4cOEYlEeP755/nKV75CLBZj+/btdHZ20tTU5EPVxXPt2jWuXbvG1atXMz5eU1NDfX19snluaGggFosRCoWor6+nvr6+rEflZWU2bNjgdwlSApQDAeVAcud7F2Fm64H78c4EuAVoBO5bxuvfb2bHzOzY1atXCYVCDA8PMzQ0xOjoKH19fYTDYU6dOkUsFuPEiROAt+4ieEfJxmIxTp06RTgcpq+vj9HRUYaGhhgeHiYUCtHf38/U1BQ9PT1Eo1G6urrmvUfiuru7m0gkwpkzZ5iYmGBgYICRkRFGR0e5dOkSExMTnDlzhkgkQnd3d/K1dXV1yUY/0dglrs0MM6Ouro5Dhw7xwAMP8K53vYtt27bxxBNP8MUvfpGHH36Y7u7u5Mh6pvdKvE/qJdPnJV67VD35fA8zW/I9Ftqn2dlZJiYmuHjxIi+99BLd3d28+OKLHD16lMcff5yvfvWrfP3rX+df/uVfeOyxx3j22Wd58sknOXv2LM8++ywXLlzg3LlzjIyMMDIywsDAwIJfp9Trrq4uotEoPT09TE1N0d/fX5LZW6379Pzzz1fcPlXi16nQ+zQyMlJx+1SJX6dC79P4+HjF7VMlfp0KvU+5ML9P5GFm7wDuc869L37/3cA9wDuAzc65qJndA/yRc+5Ni73Xrbfe6vr6+gpe83IdPXoUgCNHjmR8/Lvf/S6XL19e8ftfv36d3t5eTp8+zfXr16mtraWjo4PbbrvNt7Wb/WRmyz5BTTAYpL6+nrq6uuR14pJ6v5wOulzNhoeHaW9v97sM8ZlyIKAcCJjZcefcoZW+3vdpGHjTLw6bWQPeNIzXAceAJ4C3462I8R7g60u9UWKks9zkuiJETU0Nd9xxB3fccQcA4XCY3t5evvnNbxKJRADYtm0bu3fvprW1tWz/nQppbm4uuZrHYgKBAHV1ddTW1s5rqFPv19bWUltbq8baR+V4sK/kn3IgoBxI7nxvlp1zT5vZPwIngCjwLPD3wD8BXzKz/xHf9qml3quhoaGQpa7YQiPKCY2NjXn9vPr6ejo7O+ns7AS8tZGHhobo6uoiFAoln7Nz50527txZ8fOe8ykWiyVP1rKUQCCQbJxTm+iFLqW6Tng5mpqaorW11e8yxGfKgYByILnzfRpGPt11110uMUelnAwMDPDMM88U9TNnZmY4d+4c586dS46m1tbWsmPHDm655Raam5uLWo/Mb65rampuuJ16nbhdjge1FsPU1BRr1qzxuwzxmXIgoBxIZUzDyJtMK0qUg7Vr1xb9MxsaGti3b9+8MwaGw2HOnz/PD37wg+RSboFAgLa2NrZv385NN91UFlMLAoEAsVjM7zKWLRaLEQ6HCYfDWb8mGAzOa54Ttxe6VFdXU1NTU/FN9uDgIHv27PG7DPGZciCgHEjuKmpk+fbbb3cvvvii32XcIHEk5sGDBzM+HovFeOSRR0qywZubm+PSpUu8/PLLDA4OMjs7C3hzwLZu3cr27dvZtGlTxTdflSYYDCYb5/RGerHr6urqspguEo1Gy6JOKSzlQEA5EI0sz7OcEbliWuo03IFAgM7OTk6ePLnsVRwKLRgMsmXLFrZs2cIrX/nK5Pbr168zNDREb28v3//+95ONfiAQoLW1NfkaP+ZDl+vIcjHNzc0xNzfHtWvXlv1aM5vXPKc309lcCn2Q6QsvvJCcsy+rl3IgoBxI7ipqZLmjo8OdPn3a7zJusNTScQnj4+O8+OKLDA0NlVzTnK25uTlCoRAXLlzgwoUL81aXqKurY8uWLWzatIm2tracVwGR8pUY2U6MVKc20on7qdvTtyWudcIZERFZikaWU6xklKyUNDc3c/jwYaanpzl37hz9/f1lt0/BYJC2tjba2tp4xSteMe+xcDjM8PAwFy5c4OTJk/P2LRgMsnHjxuRr161bt+LRx2AwyNzcXE77IYWVy8h2qkAgQFVVVfKSaKSnp6dpbW3N+NhiF00nqizHjx9fcPqbrB7KgeRKI8tFkO3IcjrnHBcvXmRgYIALFy5UdAMYjUYJhUJcunSJS5cuMTY2hnMO5xxmRkNDA62trclLc3OzRhUl78zshuZ5scZ6oecFg8EbHtf65iIi/tDIcopyG4VdipnR3t5Oe3s70WiUixcvMjQ0xMWLF5MH2lWKqqoqNm/ezObNmzM+Pj09TSgUIhQK8dJLLzE+Pj5vqkpVVRUbNmygtbWVtrY21q9fr4XoV7GV/nXBOcfs7GxB/n+lNtCZrpfattD91G1qyOfTiKKAciC508hyEax0ZHkhsViMK1euMDw8zMWLF5mYmMjL+5azaDTK1atXuXz5MqFQiCtXrsxreMyMYDDIhg0bWL9+PRs2bGDDhg00NjaqwZCKEQgEbmikc7lker/0bSIipS7XkeWKapZvu+02d/bsWb/LuEGige/o6CjI+4fDYS5dusTIyAiXL18u2VVBimWh1TBmZ2cZHR3l6tWryevp6ekbDqZcs2ZNsqlev34969ato7a2tljlSx5oRZTiSW2eE7czbVvq8UAgcMPjma4z3V7oF97u7m7uvPPOIv+LSKlRDkTNcoqDBw+6xJrGq9nU1FRyhDUUCjE9Pe13SWXDOcf09DRXr17l6tWrjI2NMTY2lvGEN8FgkLVr17Ju3brkpbm5uSxO3CJSScwsYyOdmIOeuJ/pOenbEn+FSn98uZfUmnR8hb8ikYgGPFY5Ncsp7rzzTtfd3e13GSUnHA5z5cqV5GVsbKyiR92KNaoYjUYZHx9nbGxs3nWm+a6JxjpxaWpqYu3ataxZs0Y/SAtAI8sCpZWDhZrobLalP57psZVuW+h++u3063Jy5swZdu3a5XcZ4iM1yyk6OztdV1eX32XcIHFSEj9O0JFJLBZjfHw8OXo6OjrK5ORk2a7tXA5mZ2eZnJxkcnKSiYmJ5GVqamrBf/fGxsZ5DXaiydbItYj4LZvGOvWyUDO+2LbFticeS9SSuJ3p+deuXaOhoeGG7anPT92nhS6ZnpPNtsXuS3GoWU5x6623ur6+Pr/LuEG+D/ArhLm5OcbGxhgdHU1OPZiYmCiZUZnlMLOyb/xjsRjT09PJ5jq1yV5spYb6+nrWrFmT8bKaVgephAxI7pQDgdLPQXoTnWnbUo8v5zr99ZkeW8629Nsrub/U9qUeW8ymTZvYuXOnlo5L0G9pKxcMBmlpaaGlpSW5zTnH5ORkcnrB+Pg4ExMTzMzM+Fjp6hAIBGhqaqKpqYktW7Zk9RrnHOFwmKmpqeRlYGAgeXuhpdScc9TV1c1rrBsaGmhsbKSxsZG6ujqteiAiUiCJcwpIYeRjKdCKapYlv8ws+ef/VLOzs/OmEiQuq30VDr+ZeSdvaWhoYNOmTVm/zjlHJBJJNtWTk5OMjIwwMzOTvMRisRtGZxL3zYz6+vrkZyea7MT9hoaGVTWqLSIipSMfA3wV1SzrN7PiqK6uvmEUGrwD3hLzclMvi41qiv/MjLq6Ourq6mhtbV3262OxGNeuXWNmZobp6WlmZmYYGxtjaGgoeX9ubi75/zNT052ooaGhIXldX19/w6WqqqK+ZYmISIGpWU6jVQX8VVVVlVybON3MzExy1HJ6ejo5ijk9PZ33Rlq/NBVXIBBIjiCvpNkGb878tWvXkk134npsbIxwOJy8ZJOVYDCYseGuq6ujtrY2+YtBTU2Npm5VOH0vEFAOVjtNw0ij0cvStdj0gMQ82+np6WQjnbgdiUSW/VmltFyUZCcYDCanb6T/xWK55ubmiEQiTE9PJ5vsxNrZiYY8Eolw/fr1rH+IBoPBeY12euOdeqmqqlITXiL0vUBAOZDcVVSzrD/RlqfEyN/GjRtveGxubi75p/z068QIZDp9U1zdgsFg8pezfEkd+U69TE5Ocvny5XlNePooRmJe92L11tTUUFtbS21tbVa3dcBldvS9QEA5kNxVVHdZqj9ADh486HcJZSv1ZB6ZxGKxeQeizczMMDw8TE1NTXJUMR9/gpHyku+RpNSR73yLRqNcv349OdodiUSStycnJwmFQjdsT/8rWjYj5DU1NdTU1FBdXT3vOnX7QttK9XvrUjSiKKAcSO4qqlkuxA+yfCiVk5FUokAgkFzuLGHv3r3znjM7Oztv3mv6JTEqKJWjnH4wVlVVUVVVldeR8HTOOWZnZ5mdneX69evJS+L+7OwsMzMz87anPjfRjKc35YuNmCeeW1VVtWCjnmjGE/8GqfdTb6+0WS+nHEjhKAeSq4pqlrX+rwAcP3583mh+4ofuQqPT8OM1ihON80K3I5GIDhYpA8FgUMcwpDCzZMNazEEF5xxzc3PzGvPUSzQaTf71JxqNZryenZ1d8f+5TCuvLNSQp99OXAeDwWTDnmjqE5dyPPXzaqTvB5KrimqWS3U1jNOnTwPQ0dHhcyWrw0qmvaSuUbyYxJrEicY5df5q6v3lHkAm+aUfjKXBzJKNZSmYm5ub14QvdHt6eprZ2dnk81MviW1zc3OLnugHsjtRVqbnOufmNeeZGvX0x9MvgUAg2dBnejzxnHKdYrMc+n4guSqN72B5Mjk56XcJGQ0PDwNqloslfWQ5n1LXJF5KorFOvSQa6UwXza3OH40kCdyYg0STWFtb62NVS3POEYvFMjbp6bcT9yORSLKBT7w2Foslt6VfEs/J9hf6TOuk5zKqHggE5l0SzftKLou9NvFLRabPXOqivxpIQkU1y9k0MFL5SuWAyuU01uDNq0s/kCv9dup14s/YciM1ygLlmwMzK5vGfiUSvwykXxJN/HIfSzw+Ozubt/dd6JeIpVa3KQcr2YfU16Rep75P6v1iPncpmc79sFwV1SyvZE1eqTxdXV10dnb6XcayBQKBZTXX4DXYqc1z4pIYqU7fnriUaxORLR39LqAclKrUXwaKQTnIH+dc8pK4n36d+otGMZ67lH/+539e5l7eqCSaZTNbB3wSuANwwK8Cp4EvAzuAfuDnnXOji71PJf4GLsu3b98+v0somkAgkFynejkSo9jpqyKkr5CQfp2Y21nq9INRQDkQj3KQP+mjvuUgHwc1l0SzDHwUeMw593YzqwEagN8HvuOc+zMz+yDwQeD3FnuT69evF75SKXlnz55lz549fpdR0lYyip3gnJvXPKc309lcCn3go0aSBJQD8SgHq1uuZ4WFEmiWzawZuBd4L4Bz7jpw3czuB47En/ZZ4ChLNMulcsS1+Gvr1q1+l1DRzCx5JrmVSswvXGpVgky3Ewc1JeYnZqIfjALKgXiUg9Ut09mBl6sU1lrbCVwG/sHMnjWzT5pZI9DmnBuOP+ci0JbpxWb2fjM7ZmbHRkdHCYVCDA8PMzQ0xOjoKH19fYTDYU6dOkUsFuPEiROAt2ICwIkTJ4jFYpw6dYpwOExfXx+jo6MMDQ0xPDxMKBSiv7+fqakpenp6iEajdHV1zXuPxHV3dzeRSIQzZ84wMTHBwMAAIyMjyaWIJiYmOHPmDJFIhO7u7ozv0dXVRTQapaenh6mpKfr7+0tyn0ZGRhgYGCjJfXr++ecrbp8q7esUDofp7++nvr6el19+mU2bNnHx4kV27NjB+Pg4t99+O2bGvn372LBhA/v37+eWW26hs7OTgwcP0tnZyetf/3r279/Pm970Jm655Rbe8IY3sGXLFl7zmtfQ3NzMoUOH2LRpE7fffjubNm1i+/bttLa2snHjRtatW0dTUxNr1qyhrq5u3lnqFrpOLE2ZOEo+/ZL+nKXeAyjIe5jZku+hfdI+raZ9Sq2rUvapEr9OhdqntraM7eOymN/rwJrZIeAp4NXOuafN7KPABPCbzrl1Kc8bdc4tekjjgQMH3MmTJwtZrpSBUChEa2ur32WIj1aaAefcDevqLrTO7kJLeC10W4rPzAo+5UdKn3KwukWjUR544IHjzrlDK32PUpi3MAgMOueejt//R7z5yZfMrN05N2xm7cDIUm+k/wwCaL1iWXEGzH58hrd8S2+eU09usdB1+vMyPZa6TURE5svHFF3fm2Xn3EUze9nMOpxzp4HXAafil/cAfxa//rqPZUoZ0fw0KcUMFGPd3IVOQLHcy2IntUjdVor/ziIi+eZ7sxz3m8AX4ithvAT8Ct586ofM7H3AeeDnl3qTmZmZgha5UkePHgXgyJEjvtaxWix1ymqpfKs1A8VcuzYhUyOd3lAvdHuh+4tdZ7otIlJIJdEsO+dOApnmkrxuOe+jb5oCcPXq1bycsUfKlzJQPH406OkWOiPbwMAA7e3tWZ21LbHNObfk2eKyvSTOVKcpgv7SnGXJVUk0y/mipeMEYMuWLX6XID5TBlaXQCCQPAI+1S233LLsE/YUQvrpnTOd7nmp5yx2P7UpX2hbNo8lzoq21GPlphxrltJSUd2lDuwSgHPnzrF3716/yxAfKQMCpZODYp/eudDSm+rFbi/12HK2pT8GLPq8xGV8fJympqYln5fpVM7ZbM9mW6b7Uj4qqlmuqanxuwQpATp7nygDAspBoaSva1vqYrFYSdaa3khn2rbQ7cW2pb5/+vMyPXep16ZvW+z2ch5b7rblPJ7q8uXLWT93IRXVLF+7ds3vEqQEnDx5krvuusvvMsRHyoCAciCeUs1B6kk5pHDysQJR6f2qlYO6ujq/S5ASUIrfFKW4lAEB5UA8ysHqlo/VkSqqWS7VeUC7d+9m9+7dfpexaiROvSyrlzIgoByIRzlY3fLRLPt+uut8OnTokDt27JjfZYiIiIhIiTCznE53XVEjy6V6UhIprhMnTvhdgvhMGRBQDsSjHEiuKmpkef/+/e65557zu4wbXLhwAdDar8VSqkc+S/EoAwLKgXiUA9HIcorJyUm/S8iot7eX3t5ev8tYNXp6evwuQXymDAgoB+JRDiRXFdUsV1dX+12ClICdO3f6XYL4TBkQUA7EoxxIriqqWY5Go36XICUgMe1FVi9lQEA5EI9yILmqqGa5Uk4lKrnZsGGD3yWIz5QBAeVAPMqB5KqimuVYLOZ3CVICtCqKKAMCyoF4lAPJVUU1yyKAjnoWZUAA5UA8yoHkqqISpHOsC+hAT1EGxKMcCCgHkruKWmfZzCaB037XIb5rBUJ+FyG+UgYElAPxKAfS4ZxrWumLq/JZSQk4ncui01IZzOyYcrC6KQMCyoF4lAMxs2O5vL6ipmGIiIiIiOSTmmURERERkQVUWrP8934XICVBORBlQEA5EI9yIDlloKIO8BMRERERyadKG1kWEREREcmbimmWzew+MzttZmfN7IN+1yOFYWafNrMRM3s+ZdsGM/u2mZ2JX6+Pbzcz+1g8E8+Z2V3+VS75ZGbbzOwJMztlZi+Y2W/FtysLq4SZ1ZnZM2bWFc/Ah+Pbd5rZ0/Gv9ZfNrCa+vTZ+/2z88R2+7oDklZkFzexZM/tG/L5ysMqYWb+ZdZvZycTqF/n6mVARzbKZBYG/Bn4K2As8YGZ7/a1KCuQzwH1p2z4IfMc5twv4Tvw+eHnYFb+8H/hEkWqUwosCH3DO7QUOA78e/z+vLKweEeC1zrlO4ABwn5kdBv4c+Ihz7jZgFHhf/PnvA0bj2z8Sf55Ujt8CXky5rxysTv/eOXcgZanAvPxMqIhmGfgJ4Kxz7iXn3HXgS8D9PtckBeCcexK4mrb5fuCz8dufBd6asv1zzvMUsM7M2otSqBSUc27YOXcifnsS74fkTSgLq0b8azkVv1sdvzjgtcA/xrenZyCRjX8EXmc67WtFMLOtwJuBT8bvG8qBePLyM6FSmuWbgJdT7g/Gt8nq0OacG47fvgi0xW8rF6tA/M+orwCeRllYVeJ/ej8JjADfBvqAMedcNP6U1K9zMgPxx8eBlqIWLIXyV8DvArH4/RaUg9XIAd8ys+Nm9v74trz8TKi0M/jJKuecc2amJV5WCTNbAzwM/LZzbiJ1gEhZqHzOuTnggJmtA74G7PG3Iik2M3sLMOKcO25mR3wuR/z1GufckJltAr5tZj2pD+byM6FSRpaHgG0p97fGt8nqcCnx55P49Uh8u3JRwcysGq9R/oJz7qvxzcrCKuScGwOeAO7B+3NqYiAo9euczED88WbgSnErlQJ4NfCzZtaPNwXztcBHUQ5WHefcUPx6BO+X558gTz8TKqVZ/hGwK370aw3wTuBRn2uS4nkUeE/89nuAr6dsf3f8qNfDwHjKn2OkjMXnGH4KeNE5979SHlIWVgkz2xgfUcbM6oE34M1dfwJ4e/xp6RlIZOPtwL86nWig7DnnPuSc2+qc24H3s/9fnXPvQjlYVcys0cyaEreBNwLPk6efCRVzUhIz+2m8eUtB4NPOuT/xtyIpBDN7EDgCtAKXgD8EHgEeArYD54Gfd85djTdUH8dbPWMG+BXn3DEfypY8M7PXAN8DuvnxPMXfx5u3rCysAma2H++AnSDewM9Dzrn/bma34I0wbgCeBX7JORcxszrg83jz268C73TOveRP9VII8WkY/9U59xblYHWJf72/Fr9bBXzROfcnZtZCHn4mVEyzLCIiIiKSb5UyDUNEREREJO/ULIuIiIiILEDNsoiIiIjIAtQsi4iIiIgsQM2yiIiIiMgC1CyLiOSBmc2Z2cmUyw6/a8oXM3uFmX0qfvu9ZvbxtMePmtmhRV7/JTPbVeg6RUQKQae7FhHJj7Bz7kCmB+JreppzLpbp8TLw+8D/yOH1nwB+F/iP+SlHRKR4NLIsIlIAZrbDzE6b2efwziS1zcz+m5n9yMyeM7MPpzz3D8ys18y+b2YPmtl/jW9PjtiaWWv8lL6YWdDM/iLlvf5TfPuR+Gv+0cx6zOwL8UYdM7vbzH5gZl1m9oyZNZnZk2Z2IKWO75tZZ9p+NAH7nXNdWezzz6aMrJ82s3Pxh74HvD7l9MMiImVD37hERPKj3sxOxm+fA34H2AW8xzn3lJm9MX7/JwADHjWze4FpvNP0HsD7nnwCOL7EZ70P7/Ssd5tZLfBvZvat+GOvAPYBF4B/A15tZs8AXwZ+wTn3IzNbC4TxThn+XuC3zWw3UJehKT6E1+yn+oX4WRQTbgNwzj2KdxpZzOwh4Lvx7TEzOwt0ZrFvIiIlRc2yiEh+zJuGEZ+zfN4591R80xvjl2fj99fgNc9NwNecczPx1z2axWe9EdhvZm+P32+Ov9d14Bnn3GD8vU4CO4BxYNg59yMA59xE/PGvAP+Xmf034FeBz2T4rHbgctq2LzvnfiNlX4+mPmhmv4v37/HXKZtHgC2oWRaRMqNmWUSkcKZTbhvwp865v0t9gpn99iKvj/Lj6XJ1ae/1m865x9Pe6wgQSdk0xyLf551zM2b2beB+4OeBgxmeFk777EWZ2euBdwD3pj1UF38vEZGyojnLIiLF8Tjwq2a2BsDMbjKzTcCTwFvNrD4+P/hnUl7Tz48b2Lenvdd/MbPq+HvtNrPGRT77NNBuZnfHn9+UMn/4k8DHgB8550YzvPZF4tMslmJmNwN/DbzDOZfeGO/mxukcIiIlTyPLIiJF4Jz7lpndDvwwfszdFPBLzrkTZvZloAtvqsKPUl72l8BDZvZ+4J9Stn8Sb3rFifgBfJeBty7y2dfN7BeA/21m9XgjvK8Hppxzx81sAviHBV7bY2bNZtbknJtcYjffC7QAj8T38YJz7qfNrA1vWsbFJV4vIlJyzDnndw0iIhJnZn+E18T+ZZE+bwtwFNiz0NJ2ZvY7wKRz7pMr/IzfASacc59acaEiIj7RNAwRkVXKzN4NPA38wRJrQH+C+XOhl2sM+GwOrxcR8Y1GlkVEREREFqCRZRERERGRBahZFhERERFZgJplEREREZEFqFkWEREREVmAmmURERERkQWoWRYRERERWcD/D7oSC4UMmAIiAAAAAElFTkSuQmCC",
      "text/plain": [
       "<MNELineFigure size 720x252 with 1 Axes>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw = raw.filter(l_freq=0.1, h_freq=30, method='fir')   #method='iir\n",
    "raw.plot_psd(average=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step3 去伪迹"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opening raw-browser...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<MNEBrowseFigure size 1382.4x731.52 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\mne\\viz\\utils.py:120: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n",
      "  (fig or plt).show(**kwargs)\n",
      "C:\\Users\\dell\\AppData\\Local\\Temp\\ipykernel_20236\\1161560294.py:3: RuntimeWarning: No bad channels to interpolate. Doing nothing...\n",
      "  raw = raw.interpolate_bads()\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<MNEAnnotationFigure size 360x216 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = raw.plot(duration=5, n_channels=10, clipping=None)\n",
    "fig.canvas.key_press_event('a')\n",
    "raw = raw.interpolate_bads()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filtering raw data in 1 contiguous segment\n",
      "Setting up high-pass filter at 0.1 Hz\n",
      "\n",
      "FIR filter parameters\n",
      "---------------------\n",
      "Designing a one-pass, zero-phase, non-causal highpass filter:\n",
      "- Windowed time-domain design (firwin) method\n",
      "- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation\n",
      "- Lower passband edge: 0.10\n",
      "- Lower transition bandwidth: 0.10 Hz (-6 dB cutoff frequency: 0.05 Hz)\n",
      "- Filter length: 33001 samples (33.001 sec)\n",
      "\n",
      "Fitting ICA to data using 59 channels (please be patient, this may take a while)\n",
      "Selecting by non-zero PCA components: 59 components\n",
      "Fitting ICA took 351.2s.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"table table-hover table-striped table-sm table-responsive small\">\n",
       "    <tr>\n",
       "        <th>Method</th>\n",
       "        <td>fastica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th>Fit</th>\n",
       "        <td>117 iterations on raw data (1418000 samples)</td>\n",
       "    </tr>\n",
       "    \n",
       "    <tr>\n",
       "        <th>ICA components</th>\n",
       "        <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th>Explained variance</th>\n",
       "        <td>100.0&nbsp;%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th>Available PCA components</th>\n",
       "        <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th>Channel types</th>\n",
       "        <td>eeg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th>ICA components marked for exclusion</th>\n",
       "        <td>&mdash;</td>\n",
       "    </tr>\n",
       "    \n",
       "</table>"
      ],
      "text/plain": [
       "<ICA | raw data decomposition, method: fastica (fit in 117 iterations on 1418000 samples), 59 ICA components explaining 100.0 % of variance (59 PCA components available), channel types: eeg, no sources marked for exclusion>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ica = ICA(max_iter='auto')\n",
    "raw_for_ica = raw.copy().filter(l_freq=1, h_freq=None)\n",
    "ica.fit(raw_for_ica)\n",
    "ica.plot_sources(raw_for_ica)\n",
    "ica.plot_components()\n",
    "ica.plot_overlay(raw_for_ica, exclude=[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eval(input('输入拒绝的成分：'))"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "e16b9bd33e7041c0842013505aab8d96e59e427e4e0c80436ba1b7c1f34f93b5"
  },
  "kernelspec": {
   "display_name": "Python 3.9.12 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}