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EEGLAB数据预处理

七彩的河 included in 头皮脑电
   312 words   One minute 

Episode 03 – EEGLAB数据预处理

What is EEGLAB? EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. EEGLAB runs under Linux, Unix, Windows, andMac OS X. ./image/2023-03-24-10-17-42.png

./image/2023-03-24-10-18-56.png

./image/2023-03-24-10-23-10.png

load dataset (mult)

./image/2023-03-24-10-24-16.png

./image/2023-03-24-10-25-50.png

Plot curves (note that move DC-wave)

you can adjust the scale(y) - duration(x) etc. you can scroll the data and reject artifacts manually. ./image/2023-03-24-10-31-59.png

import pole loaction

you can just use the standard template. ./image/2023-03-24-10-34-47.png plot them with 2-D or 3-D figure ./image/2023-03-24-10-35-53.png

delete spoiled channel

haow we can determine it ? ./image/2023-03-24-10-41-57.png slown down ./image/2023-03-24-10-43-40.png ./image/2023-03-24-10-44-33.png

./image/2023-03-24-10-44-57.png

or automatically ./image/2023-03-24-10-47-03.png

可以把实验前的一些前导数据删去 ./image/2023-03-24-10-49-55.png

插值坏导

./image/2023-03-24-10-51-19.png

Re-referrence

./image/2023-03-24-10-52-23.png average or specific channel ./image/2023-03-24-10-59-04.png

去除直流偏移

./image/2023-03-24-11-03-29.png

滤波

./image/2023-03-24-11-04-00.png ICA 对低频漂移敏感

降采样

减小数据量 ./image/2023-03-24-11-06-57.png

依据 trriger 分段 epoch

./image/2023-03-24-11-08-22.png

./image/2023-03-24-11-08-44.png

./image/2023-03-24-11-08-52.png

各数据段的基线校正

从每个段中减去总体平均 ./image/2023-03-24-11-10-13.png

ICA analysis

./image/2023-03-24-11-10-33.png

需要去掉无效数据的道 ./image/2023-03-24-11-12-25.png ./image/2023-03-24-11-11-54.png

ICA 完成后 可以进行伪迹去除

./image/2023-03-24-11-15-28.png

通过脑皮识别和去除（眼电）伪迹 ./image/2023-03-24-11-16-31.png ./image/2023-03-24-11-21-16.png

删除坏段来去除伪迹（目视检查删除）

自动的：1.幅值 ./image/2023-03-24-11-24-02.png ./image/2023-03-24-11-27-00.png

处理完成后可以再保存以下

Episode 5 - 基于 EEGLAB 的 ERP 分析

./image/2023-03-24-15-23-08.png ./image/2023-03-24-15-27-36.png ./image/2023-03-24-15-28-40.png ./image/2023-03-24-15-29-57.png ./image/2023-03-24-15-31-08.png ./image/2023-03-24-15-31-55.png ./image/2023-03-24-15-37-56.png ./image/2023-03-24-15-38-35.png

./image/2023-03-24-15-58-11.png

./image/2023-03-24-16-04-57.png

./image/2023-03-24-16-09-50.png ./image/2023-03-24-16-11-40.png ./image/2023-03-24-16-14-39.png

./image/2023-03-24-16-16-21.png ./image/2023-03-24-16-18-22.png

./image/2023-03-24-16-20-12.png ./image/2023-03-24-16-22-07.png ./image/2023-03-24-16-22-29.png ./image/2023-03-24-16-26-05.png

MNE分析

滤波、降采样、舍弃通道 ./image/2023-03-24-21-26-01.png

ICA ./image/2023-03-24-21-27-14.png

ica component ./image/2023-03-24-21-27-53.png

auto determine ./image/2023-03-24-21-28-23.png

./image/2023-03-24-21-29-09.png

after ica, epoch ./image/2023-03-24-21-31-04.png

./image/2023-03-24-21-32-10.png

./image/2023-03-24-21-34-06.png

./image/2023-03-24-21-40-14.png

第二节

./image/2023-03-25-16-47-55.png ./image/2023-03-25-16-48-49.png ./image/2023-03-25-16-51-00.png ./image/2023-03-25-16-52-42.png ./image/2023-03-25-16-53-34.png ./image/2023-03-25-16-54-39.png

./image/2023-03-25-16-55-18.png ./image/2023-03-25-16-57-09.png ./image/2023-03-25-16-58-38.png ./image/2023-03-25-16-59-31.png ./image/2023-03-25-16-59-57.png ./image/2023-03-25-17-01-21.png ./image/2023-03-25-17-03-04.png ./image/2023-03-25-17-03-37.png ./image/2023-03-25-17-04-36.png

./image/2023-03-25-17-05-36.png ./image/2023-03-25-17-06-44.png ./image/2023-03-25-17-07-20.png ./image/2023-03-25-17-08-14.png ./image/2023-03-25-17-08-36.png

moter imagery

./image/2023-03-25-17-11-51.png ./image/2023-03-25-17-16-00.png ./image/2023-03-25-17-17-00.png

trials

./image/2023-03-25-17-17-38.png

./image/2023-03-25-17-17-54.png

./image/2023-03-25-17-18-38.png

./image/2023-03-25-17-20-05.png

./image/2023-03-25-17-20-31.png

./image/2023-03-25-17-21-10.png ./image/2023-03-25-17-21-21.png

./image/2023-03-25-17-21-58.png ./image/2023-03-25-17-23-36.png ./image/2023-03-25-17-25-32.png ./image/2023-03-25-17-26-05.png ./image/2023-03-25-17-26-52.png ./image/2023-03-25-17-27-43.png ./image/2023-03-25-17-28-06.png ./image/2023-03-25-17-28-57.png

./image/2023-03-25-17-29-09.png ./image/2023-03-25-17-30-30.png ./image/2023-03-25-17-30-48.png

./image/2023-03-25-17-32-16.png ./image/2023-03-25-17-32-26.png

./image/2023-03-25-17-32-57.png ./image/2023-03-25-17-35-18.png ./image/2023-03-25-17-35-41.png ./image/2023-03-25-17-36-17.png ./image/2023-03-25-17-36-34.png ./image/2023-03-25-17-37-04.png ./image/2023-03-25-17-37-31.png

./image/2023-03-25-17-38-02.png ./image/2023-03-25-17-38-50.png ./image/2023-03-25-17-39-31.png ./image/2023-03-25-17-39-50.png

Updated on 2023-03-26
 EEGLAB
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