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@robintibor
Created September 14, 2021 13:21
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Out of Bounds +-800 TUH Dataset
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"###################################\n",
"####### LOAD DATA ############\n",
"import mne\n",
"#mne.set_log_level('ERROR')\n",
"\n",
"from IPython.utils import io\n",
"\n",
"#%%time \n",
"from braindecode.datasets.tuh import TUHAbnormal\n",
"\n",
"data_path = '/data/schirrmr/gemeinl/tuh-abnormal-eeg/raw/'#'/data/schirrmr/gemeinl/tuh-abnormal-eeg/raw/'\n",
"with io.capture_output() as captured:\n",
" dataset = TUHAbnormal(\n",
" path=data_path,\n",
" recording_ids= range(100),#recording_idsNone, #range(len(rec_id)), # loads the n chronologically first recordings # range(n_recordings_to_load)\n",
" #target_name= 'pathological',#target_name, # age, gender, pathology\n",
" add_physician_reports=False, # Comment Lukas uncomment to also read physician reports\n",
" preload=True,\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib\n",
"from matplotlib import pyplot as plt\n",
"from matplotlib import cm\n",
"%matplotlib inline\n",
"%config InlineBackend.figure_format = 'png'\n",
"matplotlib.rcParams['figure.figsize'] = (8,2)\n",
"matplotlib.rcParams['font.size'] = 14\n",
"import numpy as np\n",
"from tqdm.autonotebook import tqdm"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "8a33d3ce6fd1401b92485fdce36a86e0",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/100 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"df = pd.DataFrame()\n",
"for base_set in tqdm(dataset.datasets):\n",
" per_chan_out_of_bounds_fraction = np.mean(np.abs(base_set.raw.get_data()) * 1e6 > 800, axis=1)\n",
" out_of_bounds_fraction = np.mean(per_chan_out_of_bounds_fraction)\n",
" chans_out_of_bounds = np.mean(per_chan_out_of_bounds_fraction > 0.95)\n",
" df = df.append(dict(out_of_bounds=out_of_bounds_fraction * 100,\n",
" chans_out_of_bounds=chans_out_of_bounds * 100),\n",
" ignore_index=True)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Out of +- 800 mV [%]')"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x144 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df.plot()\n",
"plt.xlabel(\"Recording ID\")\n",
"plt.ylabel(\"Out of +- 800 mV [%]\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.7.5"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {
"0ccfd4c587ac4585b0735e1c67bccdc0": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {}
},
"14133cf8d3c745abb6f6671be204d9cb": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {}
},
"2e8575b279bc499794d93eec82b4ad84": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {}
},
"350de0d3af4d412485ec5c31c074e3d8": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"bar_style": "success",
"layout": "IPY_MODEL_0ccfd4c587ac4585b0735e1c67bccdc0",
"style": "IPY_MODEL_b4a8e170235e41e3bec4100065ff9847",
"value": 100
}
},
"51aaf6ef55c1495bba3af5547621d55a": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"layout": "IPY_MODEL_caff4c97c8d34a39b31e1014852d0950",
"style": "IPY_MODEL_fa68494e86db446f91032ae0103fff4f",
"value": "100%"
}
},
"6f752f6b33ff4fdb97cb92cff57c7874": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"layout": "IPY_MODEL_2e8575b279bc499794d93eec82b4ad84",
"style": "IPY_MODEL_8bb9b12379af46578e1d9077c919bb64",
"value": " 100/100 [00:05&lt;00:00, 18.65it/s]"
}
},
"8a33d3ce6fd1401b92485fdce36a86e0": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"children": [
"IPY_MODEL_51aaf6ef55c1495bba3af5547621d55a",
"IPY_MODEL_350de0d3af4d412485ec5c31c074e3d8",
"IPY_MODEL_6f752f6b33ff4fdb97cb92cff57c7874"
],
"layout": "IPY_MODEL_14133cf8d3c745abb6f6671be204d9cb"
}
},
"8bb9b12379af46578e1d9077c919bb64": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"description_width": ""
}
},
"b4a8e170235e41e3bec4100065ff9847": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"description_width": ""
}
},
"caff4c97c8d34a39b31e1014852d0950": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {}
},
"fa68494e86db446f91032ae0103fff4f": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"description_width": ""
}
}
},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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