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Measure ERP Amplitude

Source: R/eeg-erp.R
eegERPmeasure.Rd

Measures ERP amplitude in a specified time window using peak, mean, or adaptive mean methods. For epoched (3D) data, averages across epochs first.

Usage

eegERPmeasure(
  x,
  window,
  method = c("peak", "mean", "adaptive_mean"),
  polarity = c("positive", "negative"),
  epoch_start = 0,
  assay_name = NULL
)

Arguments

x

A PhysioExperiment object with EEG data.

window

Numeric vector of length 2: c(start_ms, end_ms).

method

Measurement method: "peak" (peak amplitude), "mean" (mean amplitude), or "adaptive_mean" (mean in +/-25ms around peak).

polarity

Expected polarity: "positive" or "negative".

epoch_start

Start time of the epoch in milliseconds relative to stimulus onset. Default is 0 (epoch starts at stimulus).

assay_name

Input assay name (default: first assay).

Value

A data.frame with columns: channel (character label), amplitude (numeric measured amplitude), latency_ms (numeric latency in milliseconds), and method (character measurement method used).

References

Luck, S. J. (2014). An Introduction to the Event-Related Potential Technique (2nd ed.). MIT Press.

See also

eegERPdetect(), eegERPlatency(), eegERPbaseline(), eegPlotERP()

Examples

if (FALSE) { # \dontrun{
pe <- make_eeg_erp(n_epochs = 40, sr = 250)
result <- eegERPmeasure(pe, window = c(250, 500), method = "peak",
                        polarity = "positive")
} # }