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"outputs": [
{
"data": {
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" }\n",
" \n",
" .alert-block {\n",
" width: 95%;\n",
" margin: auto;\n",
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" \n",
" .rendered_html code\n",
" {\n",
" color: black;\n",
" background: #eaf0ff;\n",
" background: #f5f5f5; \n",
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" strong code {\n",
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"\n",
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"\n",
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"\n",
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"\n",
"</style>\n",
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" Copyright (C) 2019-2021 Scientific IT Services of ETH Zurich,\n",
" <p>\n",
" Contributing Authors:\n",
" Dr. Tarun Chadha,\n",
" Dr. Franziska Oschmann,\n",
" Dr. Mikolaj Rybinski,\n",
" Dr. Uwe Schmitt.\n",
" </p<\n",
"</footer>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# IGNORE THIS CELL WHICH CUSTOMIZES LAYOUT AND STYLING OF THE NOTEBOOK !\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"%config InlineBackend.figure_format = 'retina'\n",
"import warnings\n",
"warnings.filterwarnings('ignore', category=FutureWarning)\n",
"warnings.filterwarnings = lambda *a, **kw: None\n",
"from IPython.core.display import HTML; HTML(open(\"custom.html\", \"r\").read())"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Chapter 9: Use case - prediction of arm movements\n",
"\n",
"<center>\n",
"<figure>\n",
"<table><tr>\n",
"<td> <img src=\"./images/eeg_cap.png\" style=\"width: 400px;\"/> </td>\n",
"<td> <img src=\"./images/arm_movement.png\" style=\"width: 400px;\"/> </td>\n",
"</tr></table>\n",
"<figcaption>Setup of an EEG-experiment.</figcaption>\n",
"</figure>\n",
"</center>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Background"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<center>\n",
"<figure>\n",
" <img src=\"./images/eeg_electrode_numbering.jpg\" width=35%/> \n",
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