Description

This add-on is designed to extract useful statistical temporal and spectral information from electromyography data acquired with the biosignalsplux Electromyography (EMG) sensor and muscleBAN, and the BITalino Electromyography (EMG) sensor and muscleBIT Bundle. Its own automatic onset detection algorithm is designed to detect muscle activations in the EMG signal, allowing the user to select and derive activation-specific parameters for further analysis of the EMG signal.

The onset detection algorithm can be fine-tuned for application-specific muscle activation detection by defining the frequency ranges of interest using the available low pass, high pass, and band pass filters. This add-on can also be used for muscle activation order analysis and to conduct a Maximum Voluntary Contraction-dependent statistical analysis.

Compatible Sensors

Compatible biosignalsplux Sensors:

Electromyography (EMG)
muscleBAN

Compatible BITalino Sensors:

Electromyography (EMG)

Features

Automatic onset detection algorithm
Temporal & spectral feature extraction
Maximum Voluntary Contraction-dependent statistical analysis
Multi-channel signal processing
Direct parameter comparison of 2 selected muscle activations

Extracted Parameters

Acquisition Parameters (start, end, duration)
Activation-specific parameters:
Start & end time
Latency
Max. & min. amplitudes
Peak-to-Peak amplitudes
Root-Mean-Square
Integral over activation segment (result only, not integral signal)

Downloads

OpenSignals & Add-Ons User Manual
Sample EMG Report (PDF report)
OpenSignals (r)evolution (Windows, macOS, Linux)

Myography Analysis

Electromyography (EMG) Analysis Add-on