Pycharm中MNE脑电预处理完整流程

最新推荐文章于 2024-03-04 21:18:35 发布

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最新推荐文章于 2024-03-04 21:18:35 发布 · 2.2k 阅读

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#pycharm #python

import os
import numpy as np
import pandas as pd
import mne
import matplotlib.pyplot as plt
import xml.etree.ElementTree
from xml.etree.ElementTree import parse
#可交互
# %matplotlib qt

#自己构建一个蒙太奇模块
# xml = parse('D:\\notebook\\EEG\\MNE\\EEGprocessing-main\\mymontage.xml')
# root = xml.getroot()
# mydic = dict()
# for channel in root.findall('CHANNEL'):
#     label = channel.find('LABEL')
#     pos = channel.find('POSITION')
#     if pos is None:
#         continue
#     lis = pos.text.split()
#     a = np.array(lis).astype(np.float64)/1000
#     a[0] = -a[0]
#     a[1] = -a[1]
#     mydic[label.text] = a
# mymontage = mne.channels.make_dig_montage(ch_pos=mydic,coord_frame='head')

#循环遍历
#for data in ['f008.set','f009.set'.......];


#将数据读进来
raw = mne.io.read_raw_eeglab('D:/notebook/EEG/MNE/EEGprocessing-main/da