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Preliminary Evaluation of the Audio-Visual EMG (AVEMG) Method to Analyze the Interference Pattern.

Sanjeev D Nandedkar^1,2, Paul E Barkhaus²

¹Natus Medical Inc, Hopewell Junction, New York, USA.

|April 25, 2026

Summary

Audio-visual electromyography (AVEMG) quantifies interference pattern signals, aiding electrodiagnostic consultants. This new method shows significant concordance with subjective assessments, improving diagnostic accuracy in EMG studies.

Keywords:

augmented intelligence concentric needle electromyography interference pattern reference values

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Area of Science:

Neurology
Biomedical Engineering
Diagnostic Medicine

Background:

Quantitative analysis is crucial for electrodiagnostic medical consultants (EMC).
The interference pattern (IP) signal in electromyography (EMG) is typically assessed subjectively.
A need exists for objective, quantitative methods to analyze EMG signals.

Purpose of the Study:

To evaluate a beta version of the audio-visual electromyography (AVEMG) method.
To quantify the audio and visual characteristics of the IP signal.
To assess the concordance between AVEMG and subjective EMC assessments.

Main Methods:

Recorded IP signals from 139 upper and lower limb muscles in 36 patients.
AVEMG measured Amplitude, Fullness, and Pitch for each 200ms epoch.
Defined reference values (RVs) using normal subjects and compared AVEMG results with subjective assessments using a chi-squared test.

Main Results:

AVEMG effectively filtered out noise and artifacts.
Reference values for Amplitude and Pitch varied significantly between different muscles.
AVEMG identified abnormalities in 80% of cases deemed abnormal by subjective assessment, showing statistically significant concordance (p < 0.0001).

Conclusions:

AVEMG offers real-time, background quantitation without disrupting clinical workflow.
The method integrates seamlessly into routine needle EMG examinations.
Further research with refined RVs and multicenter studies is recommended to validate AVEMG's utility across different skill levels.