filter_lowpass_pad_df: Filter Markers with Padding to Avoid Artifacts

In Kneerav/biomechanics: Biomechanics Data Analysis

Filter Markers with Padding to Avoid Artifacts

Description

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
)

Arguments

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.

Value

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

Kneerav/biomechanics documentation built on March 30, 2025, 12:56 a.m.