Exploring the Effect of Attachment Position of Electrodes for EMG-Based Detection of Minimum Effective Load on Muscles

Tamon Miyake*, Shigeki Sugano

*この研究の対応する著者

研究成果: Conference contribution

抄録

Isokinetic training leads to rapid skeletal muscle hypertrophy, while slow-speed resistance training is effective for promoting muscle hypertrophy. It is essential to use an effective resistance load that minimizes injury risk in skeletal muscle hypertrophy interventions. Previous studies have indicated that surface electromyogram (EMG) measurements are useful for detecting the load threshold (minimum effective load). However, the attachment position of the electrodes affects the characteristics of the EMG signal readings. It remains unclear whether the system for detecting the load threshold functions correctly when the electrode attachment position shifts. The objective of this study is to explore how the attachment position of EMG electrodes affects the detection of the load threshold. We hypothesized that frequency analysis of EMG signals might be a reliable method for checking the electrode attachment position, given the alternating current nature of EMG signals. As a result, as long as the EMG electrode is placed on the muscle, slight positional shifts are not very critical for detecting the load threshold. In addition, results show that we can verify whether the electrode attachment position is appropriate for detecting the load threshold and make adjustments by examining the magnitude data of the EMG signal frequency bands.

本文言語English
ホスト出版物のタイトル2025 IEEE/SICE International Symposium on System Integration, SII 2025
出版社Institute of Electrical and Electronics Engineers Inc.
ページ147-152
ページ数6
ISBN(電子版)9798331531614
DOI
出版ステータスPublished - 2025
イベント2025 IEEE/SICE International Symposium on System Integration, SII 2025 - Munich, Germany
継続期間: 2025 1月 212025 1月 24

出版物シリーズ

名前2025 IEEE/SICE International Symposium on System Integration, SII 2025

Conference

Conference2025 IEEE/SICE International Symposium on System Integration, SII 2025
国/地域Germany
CityMunich
Period25/1/2125/1/24

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 制御と最適化

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