A Modular Multi-Channel sEMG Sensor for Improved Monitoring of Muscle Activity Across Varying Physiologies

Abstract

For optimal gains in strength and muscle mass, resistance based training relies upon fatiguing muscles within an individual-specific range bounded below by the level required to stimulate muscle growth and increases in strength, and above by the level where risk of muscle injury increases. Surface electromyography sensors have been employed to monitor muscle activity and extract features which give insights towards quantifying the bounds of the optimal fatigue range. However, the wearable solutions which might permit this practice lack the ability to conform to unique physiologies, leading to a lack of precision in targeting particular muscles and decreased signal quality. Described herein is the development, characterization and testing of a modular multi-channel sEMG sensor, and accompanying dry electrodes, which is capable of configuration which precisely targets particular muscles and conforms to unique physiologies. The sensor exhibits maximum dynamic range over 100 dB, referred to input noise less than 100 nV, and a signal to noise ratio 20 dB higher than the commercial sensor tested here. All of which leads to recording high quality signals containing even the most minimal of muscle contractions.