filtEMG: To filter raw EMG

In musclesyneRgies: Extract Muscle Synergies from Electromyography

To filter raw EMG

Description

To filter raw EMG

Usage

filtEMG(
  x,
  demean = TRUE,
  rectif = "fullwave",
  HPf = 50,
  HPo = 4,
  LPf = 20,
  LPo = 4,
  min_sub = TRUE,
  ampl_norm = TRUE
)

Arguments

x	Object of class EMG with elements cycles and emg
demean	Logical: should EMG be demeaned?
rectif	Rectification type: "fullwave", "halfwave" or "none"
HPf	High-pass filter cut-off frequency, use 0 to exclude high-pass filtering
HPo	High-pass filter order
LPf	Low-pass filter cut-off frequency, use 0 to exclude Low-pass filtering
LPo	Low-pass filter order
min_sub	Logical: should the minimum be subtracted?
ampl_norm	Logical: should amplitude be normalised?

Details

Lists in the correct format can be created with the function rawdata(). The first column of each emg element must be time in the same units as those used for cycles (e.g., [s] or [ms]).

Value

Object of class EMG with elements:

• cycles data frame containing cycle timings, with as many columns as many cycle subdivisions are wanted
  

• emg data frame containing filtered EMG data in columns, first column is time

References

Santuz, A., Ekizos, A., Janshen, L., Baltzopoulos, V. & Arampatzis, A. On the Methodological Implications of Extracting Muscle Synergies from Human Locomotion. Int. J. Neural Syst. 27, 1750007 (2017).

Examples

# Load some data
data("RAW_DATA")
# Filter raw EMG
filtered_EMG <- lapply(
  RAW_DATA,
  function(x) {
    filtEMG(x,
      HPf = 50,
      HPo = 4,
      LPf = 20,
      LPo = 4
    )
  }
)

musclesyneRgies documentation built on July 20, 2022, 1:05 a.m.