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Design and Validation of Multichannel Wireless Wearable SEMG System for Real-Time Training Performance Monitoring.

Serkan Örücü1, Murat Selek2

  • 1Ermenek Vocational School, Karamanoğlu Mehmetbey University, Karaman 70400, Turkey.

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Summary

A new wireless wearable system using surface electromyography (sEMG) monitors muscle activity for real-time training analysis. This system accurately assesses training performance and efficiency, aiding athletes in achieving healthier workouts.

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Area of Science:

  • Sports Science
  • Biomedical Engineering
  • Wearable Technology

Background:

  • Athlete training monitoring is crucial for performance and injury prevention.
  • Wireless wearable sensors are increasingly used for real-time physiological data collection.
  • Beginner athletes require reliable feedback for safe and effective training, particularly in strength sports.

Purpose of the Study:

  • To develop and validate a novel wireless wearable system for real-time monitoring of muscle activation and training performance.
  • To assess the system's accuracy in detecting dynamic muscle contractions and quantifying training efficiency.
  • To provide a tool for beginner athletes to ensure healthy and effective training practices.

Main Methods:

  • Development of a 4-channel wireless wearable surface electromyography (sEMG) circuit and analysis software.
  • Utilized Haar wavelet filter with thresholding, moving Root Mean Square (RMS), and %Maximum Voluntary Contraction (%MVC) for performance analysis.
  • Validated system data against a gold-standard biomedical system and tested in a gym training environment.

Main Results:

  • The system demonstrated high validity, achieving 90.95% ± 3.35 for the left biceps brachii and 90.75% ± 3.75 for the right biceps brachii when compared to a biomedical system.
  • Training efficiency was measured with high accuracy, reaching 96.87% ± 2.74 during gym-based training sessions.
  • The system successfully detected dynamic muscle contractions and provided real-time performance feedback.

Conclusions:

  • The proposed wireless wearable sEMG system offers a valid and reliable method for real-time monitoring of muscle activity and training performance.
  • This technology can significantly enhance training efficiency and safety, especially for beginner athletes in weightlifting and bodybuilding.
  • The system provides valuable insights for optimizing training regimens and achieving peak athletic performance.