Signal Detrending Functions for PhysioExperiment — detrendSignals • PhysioPreprocess

Functions for removing trends from physiological signals. Detrend signals

Usage

detrendSignals(
  pe,
  method = c("linear", "mean", "polynomial"),
  order = 2,
  assay_name = NULL,
  output_assay = "detrended"
)

Arguments

pe: A PhysioExperiment object.
method: Detrending method: "linear", "mean", or "polynomial".
order: Polynomial order for method="polynomial".
assay_name: Name of the assay to detrend.
output_assay: Name for the detrended output assay.

Value

PhysioExperiment with detrended data in output_assay.

Details

Removes linear or polynomial trends from signals.

References

Oppenheim AV, Willsky AS, Nawab SH (1997). "Signals and Systems." 2nd ed. Prentice Hall.

See also

removeBaseline() for baseline subtraction over a time window, detrendSignal() for the alternative linear/constant detrending implementation, butterworthFilter() for highpass filtering as an alternative to detrending.

Examples

pe <- PhysioExperiment(
  assays = list(raw = matrix(rnorm(1000) + 1:100/10, nrow = 100, ncol = 10)),
  colData = S4Vectors::DataFrame(label = paste0("Ch", 1:10)),
  samplingRate = 256
)
pe_detrended <- detrendSignals(pe, method = "linear")