Muscle Fatigue When Riding a Motorcycle: A Case Study

被引:1
|
作者
Torrado, Priscila [1 ,2 ]
Marina, Michel [1 ]
Baudry, Stephane [3 ]
Rios, Martin [4 ]
机构
[1] Univ Barcelona UB, Inst Nacl Educ Fis Catalunya INEFC, Res Grp Phys Act & Hlth GRAFiS, Barcelona 08038, Spain
[2] Univ Pompeu Fabra, Sch Hlth Sci, TecnoCampus Mataro, Mataro 08302, Spain
[3] Univ Libre Bruxelles, Lab Appl Biol & Neurophysiol, B-1070 Brussels, Belgium
[4] Univ Barcelona, Fac Biol, Barcelona 08028, Spain
关键词
electromyography; motorcycles; muscle strength; forearm; hand strength; neurophysiology; SURFACE ELECTROMYOGRAPHY; MUSCULAR FATIGUE; CONTRACTIONS; EMG; INTERMITTENT; FOREARM; FORCE; TIME; COACTIVATION; PARAMETERS;
D O I
10.3390/ijerph18157738
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This case study was conducted to assess muscle pattern, as measured by surface electromyography (sEMG), and its changes during a controlled superbike closed-road track training session. The sEMG signals were recorded unilaterally from biceps brachii (BB), triceps brachii (TB), anterior and posterior part of the deltoid (DA and DP respectively), flexor digitorum superficialis (FS), extensor carpi radialis (CR), extensor digitorum communis (ED) and pectoralis major (PM) during three rounds of 30 min. sEMG signals selected for analysis came from the beginning of the braking action to the way-out of the curves of interest. Considering the laps and rounds as a whole and focusing on the forearm muscles, ED was more systematically (84%) assigned to a state of fatigue than FS (44%) and CR (39%). On the opposite, the TB and DP muscles showed a predominant state of force increase (72%). Whereas the BB showed alternatively a state of fatigue or force increase depending on the side of the curve, when taking into account only the sharpest curves, it showed a predominant state of force increase. In conclusion, the fact that forearm muscles must endure a long-lasting maintenance of considerable activity levels explains why they easily got into a state of fatigue. Moreover, TB and DA are particularly relevant when cornering.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Objective: Riding a Motorcycle despite axial Spondyloarthritis - A Case Study
    Horre, Thomas
    MSKMUSKULOSKELETTALE PHYSIOTHERAPIE, 2021, 25 (04): : 175 - 180
  • [2] Data-Driven Methodology for the Investigation of Riding Dynamics: A Motorcycle Case Study
    Bartolozzi, Mirco
    Boubezoul, Abderrahmane
    Bouaziz, Samir
    Savino, Giovanni
    Espie, Stephane
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (09) : 10224 - 10237
  • [3] A STUDY ON THE CHANGES OF PHYSIOLOGICAL FUNCTIONS ON MOTORCYCLE RIDING
    MATSUMOTO, T
    ERGONOMICS, 1982, 25 (06) : 526 - 526
  • [4] A Basic Study on Evaluation of Riding Posture of Motorcycle
    Yang, Yiming
    Nonaka, Takako
    2018 IEEE 7TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE 2018), 2018, : 365 - 366
  • [5] Riding a Motorcycle despite axial Spondyloarthritis - a Case Report
    Schomacher, Jochen
    MSKMUSKULOSKELETTALE PHYSIOTHERAPIE, 2022, 26 (01): : 7 - 9
  • [6] Riding a Motorcycle despite axial Spondyloarthritis - a Case Report Reply
    Horre, Thomas
    MSKMUSKULOSKELETTALE PHYSIOTHERAPIE, 2022, 26 (01): : 9 - 10
  • [7] Motorcycle riding posture: A review
    Arunachalam, Muthiah
    Mondal, Chirapriya
    Singh, Gurdeep
    Karmakar, Sougata
    MEASUREMENT, 2019, 134 (390-399) : 390 - 399
  • [8] Development of a motorcycle riding simulator
    Miyamaru, Y
    Yamasaki, G
    Aoki, K
    JSAE REVIEW, 2002, 23 (01): : 121 - 126
  • [9] Riding the future: Environmental, primary energy and economic analysis of an electric motorcycle - A Kenyan case study
    La Fleur, Lina
    Lindkvist, Emma
    Trangteg, Rebecka
    Winter, Sally
    Thollander, Patrik
    ENERGY FOR SUSTAINABLE DEVELOPMENT, 2024, 83
  • [10] Motorcycle riders' self-reported aggression when riding compared with car driving
    Rowden, Peter
    Watson, Barry
    Haworth, Narelle
    Lennon, Alexia
    Shaw, Lauren
    Blackman, Ross
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2016, 36 : 92 - 103