Filter Markers with Padding to Avoid Artifacts — filter_lowpass_pad

This function filters the marker data using a low-pass Butterworth filter with padding at the start and end of the data to avoid artifacts.

Usage

filter_lowpass_pad_df(
  data,
  time_col = "Time",
  exclude_cols = c(1, 2),
  cut_off = 6,
  sample_rate = 200,
  order = 2,
  pad_time = 0.5
)

data: A data frame containing marker data to be filtered.
time_col: A string indicating the name of the column containing the time vector.
exclude_cols: A vector of column indices (or names) to exclude from filtering. Usually 1 and 2 to remove Time and Frame.
cut_off: Numeric. The cut-off frequency for the low-pass filter in Hz.
sample_rate: Numeric. The sample rate of the data in Hz.
order: Numeric. The order of the Butterworth filter.
pad_time: Numeric. The time length to pad the data at the start and end.
use_spline_padding: Logical. Whether to use spline interpolation for padding (TRUE) or replicate the first/last rows (FALSE). Default is FALSE.

A data frame with the filtered marker data, with padding removed.