chs : list | 376 items (GRAD: 204, MAG: 102, STIM: 9, EEG: 60, EOG: 1)
comps : list | 0 items...数据对应的单位:
V: eeg, eog, seeg, emg, ecg, bio, ecog
T: mag
T/m: grad
M: hbo, hbr
Am: dipole
AU: misc
构建一个...通道名称和通道类型
设置采样频率为:sfreq=100
"""
info = mne.create_info(
ch_names=['MEG1', 'MEG2', 'EEG1', 'EEG2', 'EOG...'],
ch_types=['grad', 'grad', 'eeg', 'eeg', 'eog'],
sfreq=100
)
"""
利用mne.io.RawArray类创建Raw对象...对通道eeg、grad,eog的数据进行2倍缩小
"""
scalings = {'eeg': 2, 'grad': 2,'eog':2}
custom_raw.plot(n_channels=5,