MyoMonitor: Evaluating muscle fatigue with commodity smartphones

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Acoustics

Background:

• Muscle fatigue is a key indicator of muscular diseases, necessitating timely evaluation for disease management.
• Current methods for assessing muscle fatigue are often confined to clinical settings, lacking convenient out-of-clinic tools.
• Developing accessible, at-home methods for muscle fatigue assessment is crucial for continuous health monitoring.

Purpose of the Study:

• To present a novel technique for evaluating muscle fatigue using commodity smartphones.
• To enable convenient, daily muscle fatigue assessment in practical home settings.
• To provide quantitative measures of muscle fatigue for tracking disease progression and exacerbations.

Main Methods:

• Mimicking an active sonar system using a smartphone's microphone and speaker to transmit and receive acoustic signals.
• Measuring acoustic channel disturbances caused by fatigue-induced muscle tremor via channel estimation.
• Deriving quantitative muscle fatigue levels from variations in acoustic channel estimation, focusing on the arm bicep muscle.

Main Results:

• The developed smartphone technique accurately evaluates the speed of muscle fatigue accumulation.
• The method successfully identifies the actual occurrence of muscle fatigue.
• Experimental results validated the precision and reliability of the acoustic-based fatigue assessment.

Conclusions:

• The proposed smartphone-based acoustic technique offers a convenient and effective solution for daily muscle fatigue evaluation.
• This technology has the potential to significantly improve the management of muscular diseases through accessible home monitoring.
• The findings pave the way for practical applications in remote patient monitoring and personal health management.