metabci.brainda.algorithms.feature_analysis.time_analysis module

class metabci.brainda.algorithms.feature_analysis.time_analysis.TimeAnalysis(data, meta, dataset, event, latency=0.0, channel=[0])

Bases: object

Chan_Neuroscan = ['FP1', 'FPZ', 'FP2', 'AF3', 'AF4', 'F7', 'F5', 'F3', 'F1', 'FZ', 'F2', 'F4', 'F6', 'F8', 'FT7', 'FC5', 'FC3', 'FC1', 'FCZ', 'FC2', 'FC4', 'FC6', 'FT8', 'T7', 'C5', 'C3', 'C1', 'CZ', 'C2', 'C4', 'C6', 'T8', 'M1', 'TP7', 'CP5', 'CP3', 'CP1', 'CPZ', 'CP2', 'CP4', 'CP6', 'TP8', 'M2', 'P7', 'P5', 'P3', 'P1', 'PZ', 'P2', 'P4', 'P6', 'P8', 'PO7', 'PO5', 'PO3', 'POZ', 'PO4', 'PO6', 'PO8', 'CB1', 'O1', 'OZ', 'O2', 'CB2']

Chan_Standard1020 = ['Fp1', 'Fpz', 'Fp2', 'AF3', 'AF4', 'F7', 'F5', 'F3', 'F1', 'Fz', 'F2', 'F4', 'F6', 'F8', 'FT7', 'FC5', 'FC3', 'FC1', 'FCz', 'FC2', 'FC4', 'FC6', 'FT8', 'T7', 'C5', 'C3', 'C1', 'Cz', 'C2', 'C4', 'C6', 'T8', 'M1', 'TP7', 'CP5', 'CP3', 'CP1', 'CPz', 'CP2', 'CP4', 'CP6', 'TP8', 'M2', 'P7', 'P5', 'P3', 'P1', 'Pz', 'P2', 'P4', 'P6', 'P8', 'PO7', 'PO5', 'PO3', 'POz', 'PO4', 'PO6', 'PO8', 'I1', 'O1', 'Oz', 'O2', 'I2']

average_amplitude(data=[], time_start=0, time_end=1)

-author: Jiang Hanzhe -Created on: 2022-8-8 -updata log:

2022-8-15 by Jiang Hanzhe

Parameters:

• data (ndarray) – the EEG data, by default []

• time_start (int) – beginning of peak seeking, by default 0

• time_end (int) – end of peak seeking, by default 1

Returns:

signal average amplitude within the specified time quantum

Return type:

ave_amp(float)

average_latency(data=[], time_start=0, time_end=1)

-author: Wu Jieyu -Created on: 2022-8-8 -updata log:

2022-8-15 by Wu Jieyu

Parameters:

• data (ndarray) – the EEG data, by default []

• time_start (int) – beginning of peak seeking, by default 0

• time_end (int) – end of peak seeking, by default 1

Returns:

location of average amplitude ave_amp(float): signal average amplitude within the specified time quantum

Return type:

ave_loc(int)

get_chan_id(ch_name, channels)

-author: Wu Jieyu -Created on: 2022-8-8 -updata log:

2022-8-15 by Wu Jieyu

Parameters:

• ch_name (list) – selected channels

• channels (list) – standard channel list

Returns:

index of ch_name in channels

Return type:

Chan_ID(list)

peak_amplitude(data=[], time_start=0, time_end=1)

-author: Jiang Hanzhe -Created on: 2022-8-8 -updata log:

2022-8-15 by Jiang Hanzhe

Parameters:

• data (ndarray) – the EEG data, by default []

• time_start (int) – beginning of peak seeking, by default 0

• time_end (int) – end of peak seeking, by default 1

Returns:

signal peak amplitude within the specified time quantum

Return type:

peak_amp(float)

peak_latency(data=[], time_start=0, time_end=1)

-author: Wu Jieyu -Created on: 2022-8-8 -updata log:

2022-8-15 by Wu Jieyu

Parameters:

• data (ndarray) – the EEG data, by default []

• time_start (int) – beginning of peak seeking, by default 0

• time_end (int) – end of peak seeking, by default 1

Returns:

location of peak amplitude peak_amp(float): signal peak amplitude within the specified time quantum

Return type:

peak_loc(int)

plot_multi_trials(data, sample_num, axes=None)

-author: Wu Jieyu -Created on: 2022-8-8 -updata log:

2022-8-15 by Wu Jieyu

Parameters:

• data (ndarray) – the EEG data

• sample_num (int) – total number of sampling points in data

• axes (axessubplot) – drawing area

Returns:

drawing area

Return type:

ax(axessubplot)

plot_single_trial(data, sample_num, axes=None, amp_mark=False, time_start=0, time_end=1)

-author: Wu Jieyu -Created on: 2022-8-8 -updata log:

2022-8-15 by Wu Jieyu

Parameters:

• data (ndarray) – the EEG data

• sample_num (int) – total number of sampling points in data

• axes (axessubplot) – drawing area

• amp_mark (string) – ‘peak’ or ‘average’, call different peak marking methods, by default False (not marked)

• time_start (int) – beginning of peak seeking, by default 0

• time_end (int) – end of peak seeking, by default 1

Returns:

location of amplitude amp(float): signal amplitude within the specified time quantum ax(axessubplot): drawing area

Return type:

loc(int)

plot_topomap(data, point, channels, fig, srate=-1, ch_types='eeg', axes=None)

-author: Wu Jieyu -Created on: 2022-8-8 -updata log:

2022-8-15 by Wu Jieyu

Parameters:

• data (ndarray) – the EEG data

• point (int) – selected sampling point

• channels (list) – selected channels

• fig (figure) – figure

• srate (int) – sampling rate, by dafault self.fs

• ch_types (list of str | str) – channel types, by default ‘eeg’

• axes (axessubplot) – drawing area, by default none

Returns:

drawing area

Return type:

aximage(axessubplot)

stacking_average(data=[], _axis=[0])

-author: Jiang Hanzhe -Created on: 2022-8-8 -updata log:

2022-8-15 by Jiang Hanzhe

Parameters:

• data (ndarray) – the EEG data, by default []

• _axis (list) – selected the dimensions, by default [0]

Returns:

array of averaged signals

Return type:

data_mean(ndarray)