Weighted-Cumulated S-EMG Muscle Fatigue Estimator

Area of Science:

• Biomedical Engineering
• Sports Science
• Physiology

Background:

• Muscle fatigue evaluation is crucial for performance and injury prevention.
• Current surface electromyography (S-EMG) methods face challenges with spatial effects and result variability.
• Objective and reliable muscle fatigue assessment remains an area of active research.

Purpose of the Study:

• To develop a new, objective approach for evaluating muscle fatigue in both isometric and dynamic exertions using S-EMG.
• To enhance the accuracy and reproducibility of muscle fatigue assessment by minimizing electrode localization effects and temporal disparities.
• To introduce a cumulated and normalized modeling approach to reveal non-stationary characteristics of muscle fatigue.

Main Methods:

• Utilized surface electromyography (S-EMG) signals during isometric and dynamic physical exertions.
• Developed a novel modeling approach focusing on preserving spectral signatures of muscle fatigue.
• Introduced a metric incorporating temporal, frequency, and time-frequency weighted-cumulated indicators.
• Applied cumulated and normalized modeling to highlight muscle fatigue inertia and intensity.

Main Results:

• Demonstrated the proposed approach's effectiveness on real S-EMG signals from both isometric and dynamic protocols.
• Presented a performance comparison of various proposed weighted-cumulated indexes.
• The novel metric effectively captured non-stationary characteristics of muscle fatigue.
• Results indicated reduced disparity and improved objectivity in fatigue evaluation.

Conclusions:

• The presented approach offers a promising method for the objective cumulative evaluation of muscle fatigue using S-EMG signals.
• The weighted-cumulated indicators provide a robust way to analyze muscle fatigue dynamics.
• This method has the potential to improve the understanding and monitoring of muscle fatigue in various applications.