Integrate EMG and MoCap signals onto a common timeline

Aligns EMG to MoCap sample times and returns a combined table for downstream feature analysis.

Usage

integrateEMGMoCap(
  mocap,
  emg,
  mocap_sampling_rate = NULL,
  emg_sampling_rate,
  mocap_assay = NULL,
  process = TRUE,
  ...
)

Arguments

mocap

A numeric matrix/data.frame (time x features), or a PhysioExperiment object.

emg

Numeric vector or matrix (time x channels).

mocap_sampling_rate

MoCap sampling rate in Hz. If mocap is a PhysioExperiment and this is NULL, uses samplingRate(mocap).

emg_sampling_rate

EMG sampling rate in Hz.

mocap_assay

Assay name to use when mocap is a PhysioExperiment.

process

Logical; if TRUE, runs processEMG() before combining.

...

Additional arguments passed to processEMG().

Value

A list with mocap, emg_aligned, and combined data.frame.

References

Merletti R, Parker PA (2004). "Electromyography: Physiology, Engineering, and Non-Invasive Applications." IEEE Press/Wiley.

See also

processEMG() for EMG processing pipeline, alignEMGtoMoCap() for time-alignment of EMG to MoCap, synchronizeSignals() for general multi-signal synchronization.

Examples

mocap <- matrix(rnorm(500), ncol = 5)
emg <- matrix(rnorm(5000), ncol = 2)
out <- integrateEMGMoCap(mocap, emg, mocap_sampling_rate = 100,
                         emg_sampling_rate = 1000)