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Related Experiment Video

Updated: Apr 3, 2026

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An algorithm for detecting EMG onset/offset in trunk muscles during a reaction- stabilization test.

Júlia Jubany^1,2, Rosa Angulo-Barroso^1,3

¹Institut Nacional d'Activitat Física de Catalunya Barcelona, Barcelona, Spain.

Journal of Back and Musculoskeletal Rehabilitation

|September 26, 2015

Summary

A new software program effectively detects subtle EMG bursts during trunk stabilization, offering a validated and accessible tool for clinical use in assessing muscle activity.

Keywords:

Electromyography low back muscle onset and offset detection sudden load

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Area of Science:

Biomedical Engineering
Rehabilitation Science
Clinical Electrophysiology

Background:

Existing EMG analysis algorithms often fail to capture subtle, rhythmic changes in trunk stabilization.
Current advanced methods for assessing these EMG characteristics are complex and not widely available in clinical settings.

Purpose of the Study:

To validate and introduce a software program designed for detecting multiple, small EMG bursts during trunk stabilization.
To provide an accessible tool for analyzing electromyography (EMG) during trunk stabilization exercises.

Main Methods:

An algorithm analyzing EMG based on means and standard deviations was developed.
Ninety EMG recordings from 50 individuals (including those with chronic low back pain) were analyzed.
Reliability was assessed using concordance, sensitivity, specificity, and predictive values against an experienced examiner.

Main Results:

The algorithm demonstrated high concordance (87.2%) with expert analysis.
High sensitivity (79.5%) and specificity (89.2%) were achieved.
A high negative predictive value (94.4%) was observed, with a moderate-low positive predictive value (66.9%).

Conclusions:

The developed software is a flexible and valuable tool for detecting EMG activity.
The program's parameters successfully identified EMG burst onset/offset.
The software showed validity for its intended purpose, with a slight tendency for over-detection of bursts.