JOURNAL ARTICLE

ANALYSIS OF ELECTROMYOGRAPHY (EMG) SIGNALS AND FORCE OUTPUT PRE- AND POST-FATIGUE DUE TO REPEATED PEDAL PRESSING MOTION IMITATING A HEAVY TRAFFIC DRIVING.

  • Published In: Journal of Mechanics in Medicine & Biology, 2025, v. 25, n. 6. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: VIVEKANANDAN, JEEVARAAJ N.; USMAN, JULIANA BINTI; ANDRIYANA, ANDRI; GOH, SIEW LI; LAI, KHIN WEE 3 of 3

Abstract

The worsening of heavy traffic necessitates frequent pedal pressing, leading to muscle fatigue. Therefore, understanding muscle activation (MA) during this action enhances driving performance. This study establishes an experimental setup to analyze MA during pedal pressing and its changes on electromyography (EMG) signals of the quadriceps, gastrocnemius and soleus muscles when fatigued. Twenty male participants were requested to repetitively press the brake pedal until fatigue, simulating heavy traffic. Pedal frequencies of 20 and 40 presses per minute were used to replicate traffic variations. EMG signals revealed differential MA based on knee joint position during pedal pressing, with closer proximity to the steering wheel activating lower leg muscles more. Most participants (N = 1 2) maintained an optimal knee angle (100– 1 1 0 ∘ ), experiencing the slowest fatigue. Significant changes in median frequency and MA percentage of EMG signals were observed pre- and post-fatigue, with spectral density shifting to lower frequencies during sustained contraction. Pedal force decreased significantly during fatigue. These findings offer insights into optimizing drivers' seating positions and understanding the impact of heavy traffic on muscle fatigue. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Mechanics in Medicine & Biology. 2025/08, Vol. 25, Issue 6, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:0219-5194
  • DOI:10.1142/S0219519425500022
  • Accession Number:187024174
  • Copyright Statement:Copyright of Journal of Mechanics in Medicine & Biology is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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