Evaluation of methods to minimize cross talk in surface electromyography

Area of Science:

• Biomedical Engineering
• Neuroscience
• Kinesiology

Background:

• Surface electromyography (EMG) is crucial for assessing muscle activity.
• Signal crosstalk can compromise the accuracy of EMG measurements.
• Minimizing crosstalk is essential for reliable muscle function analysis.

Purpose of the Study:

• To quantify the effectiveness of different surface EMG recording methods in minimizing crosstalk.
• To compare the intra- and interday variability of EMG signals obtained using these methods.
• To identify optimal EMG recording configurations for reduced crosstalk and stable signals.

Main Methods:

• Compared single differential (SD), double differential (DD), and branched electrode (BE) techniques.
• Utilized large and small electrodes with corresponding interelectrode distances.
• Quantified crosstalk using electrical stimulation and assessed signal variability through repeated measurements.

Main Results:

• SD technique showed higher crosstalk (10.2-12.2% MVE) compared to DD and BE (approx. 5% MVE).
• Smaller interelectrode distances increased interday amplitude variability.
• Amplitude and frequency variabilities were consistent across SD, DD, and BE techniques and electrode sizes.

Conclusions:

• DD and BE techniques, especially with large electrodes and interelectrode distances, significantly reduce EMG crosstalk.
• These methods offer improved signal fidelity without compromising intra- and interday amplitude or frequency stability.
• Optimized EMG recording configurations enhance the reliability of muscle activity assessments.