A clinically applicable approach for detecting spontaneous action potential spikes in amyotrophic lateral sclerosis...

Area of Science:

• Neurology
• Biomedical Engineering
• Electrophysiology

Background:

• Spontaneous muscle activity assessment is crucial for diagnosing neuromuscular diseases via electromyogram (EMG).
• High-density surface EMG (HD-sEMG) is an emerging research technique with potential for clinical diagnostics.
• EMG is particularly valuable in supporting amyotrophic lateral sclerosis (ALS) diagnosis.

Purpose of the Study:

• To present a simplified HD-sEMG method for automatic detection of spontaneous action potentials.
• To adapt HD-sEMG for clinical application in ALS diagnosis.
• To develop a computationally efficient method for analyzing spontaneous muscle activity.

Main Methods:

• Multichannel HD-sEMG data were converted to single-dimensional data by calculating the maximum difference across channels.
• Spike detection and extraction thresholds were applied to identify firing times and waveform boundaries.
• A database of spontaneous spikes, including waveforms and firing times, was generated from electrode array recordings.

Main Results:

• A novel, simple, and fast HD-sEMG method for automatic detection of spontaneous action potentials was developed.
• The method effectively extracts spontaneous spike waveforms and firing times from HD-sEMG recordings.
• The approach maintains crucial information while reducing computational complexity.

Conclusions:

• The developed HD-sEMG method demonstrates potential for clinical application in diagnosing neuromuscular disorders like ALS.
• Its simplicity, speed, and user-friendly parameters facilitate convenient implementation.
• This technique enhances the utility of HD-sEMG in clinical settings for analyzing spontaneous muscle activity.