eeg_psd: Compute the power spectral density (PSD) of an EEG signal.

In bnicenboim/eeguana: Flexible Manipulation of EEG Data

Compute the power spectral density (PSD) of an EEG signal.

Description

Compute the power spectral density (PSD) based on an eeg_lst object. For now it only uses Welch's method, so essentially it is a wrapper of the gsignal::pwelch function.

Usage

eeg_psd(
  .data,
  .method = "welch",
  .config = list(window = function(x) 2^ceiling(log2(sqrt(NROW(x)))), overlap = 0.5, nfft
    = NULL, detrend = c("long-mean", "short-mean", "long-linear", "short-linear",
    "none"), range = "half")
)

Arguments

.data	A eeg_lst object.
.method	"welch" for Welch's method.
.config	See gsignal::pwelch.

Value

A psd_lst object

See Also

Other frequency-based functions: eeg_power_band()

Examples

psd_faces <- eeg_psd(data_faces_ERPs)
psd_faces %>%
  eeg_select(F3) %>%
  plot()

bnicenboim/eeguana documentation built on March 16, 2024, 7:21 a.m.