Extract nonlinear HRV features from IBI/RR intervals — extract_gazepoint_hrv

Computes dependency-light nonlinear HRV descriptors from IBI/RR intervals, including Poincare SD1/SD2, sample entropy, approximate entropy, multiscale entropy, and detrended fluctuation analysis.

Usage

extract_gazepoint_hrv_nonlinear(
  dat,
  ibi_col = "IBI",
  group_cols = NULL,
  min_intervals = 10,
  sampen_m = 2,
  sampen_r_multiplier = 0.2,
  mse_scales = 1:5
)

Arguments

dat: A data frame containing IBI/RR intervals.
ibi_col: IBI/RR interval column.
group_cols: Optional grouping columns.
min_intervals: Minimum finite intervals per group.
sampen_m: Embedding dimension for sample entropy.
sampen_r_multiplier: Tolerance multiplier applied to the within-group SD.
mse_scales: Integer scales used for multiscale entropy.

Value

A list with overview, features, and settings.

Details

These are variability and complexity descriptors. They should not be interpreted as direct emotion, cognitive-load, health-status, or diagnostic labels by themselves.