Electromyogram (EMG)¶

Electromyogram (EMG) signals measure muscle electrical activity and are often analyzed to detect activation bursts, fatigue patterns, and neuromuscular control behavior. Surface EMG enables non-invasive acquisition and supports applications in rehabilitation, sports, and human-computer interaction.

API quick links: biosppy.signals.emg | biosppy.signals.emg.emg()

Example EMG signal plot.

Quick Usage with `biosppy.signals.emg.emg()`¶

import numpy as np
from biosppy.signals import emg

signal = np.loadtxt("examples/emg.txt")

out = emg.emg(signal=signal, sampling_rate=1000.0, show=False)
print(out.keys())

Inputs

signal: raw EMG samples.
sampling_rate: acquisition frequency in Hz.
units / path / show: optional units label, output path, and plotting flag.

Outputs

A ReturnTuple with processed EMG outputs, usually including filtered signal and event markers (for example activation/onset-related information).
Use out.keys() to inspect the exact outputs.

Example of EMG summary plot:

Example ACC signal summary plot.