Create EEG with Embedded ERP Components

Generates epoched EEG (3D array: time x channels x epochs) with known ERP components: N100 (negative peak at ~100ms) and P300 (positive peak at ~300ms). Target epochs have larger P300 amplitude than standard epochs.

Usage

make_eeg_erp(n_epochs = 40, n_channels = 19, sr = 250, epoch_sec = 1)

Arguments

n_epochs

Number of epochs (default: 40).

n_channels

Number of channels (default: 19).

sr

Sampling rate in Hz (default: 250).

epoch_sec

Epoch duration in seconds (default: 1.0).

Value

A PhysioExperiment with a 3D "raw" assay (time x channels x epochs) containing simulated ERP data. Sets metadata(x)$conditions with a character vector of epoch conditions ("target" or "standard").

See also

make_eeg(), eegERPdetect(), eegERPmeasure(), eegERPbaseline(), eegERPtest()

Examples

pe <- make_eeg_erp(n_epochs = 10, n_channels = 4, sr = 250)
dim(SummarizedExperiment::assay(pe, "raw"))  # 250 x 4 x 10
#> [1] 250   4  10