Literature DB >> 23647886

Muscle fatigue based evaluation of bicycle design.

V Balasubramanian1, M Jagannath, K Adalarasu.   

Abstract

Bicycling posture leads to considerable discomfort and a variety of chronic injuries. This necessitates a proper bicycle design to avoid injuries and thereby enhance rider comfort. The objective of this study was to investigate the muscle activity during cycling on three different bicycle designs, i.e., rigid frame (RF), suspension (SU) and sports (SP) using surface electromyography (sEMG). Twelve male volunteers participated in this study. sEMG signals were acquired bilaterally from extensor carpi radialis (ECR), trapezius medial (TM), latissimus dorsi medial (LDM) and erector spinae (ES), during 30 min of cycling on each bicycle and after cycling. Time domain (RMS) and frequency domain (MPF) parameters were extracted from acquired sEMG signals. From the sEMG study, it was found that the fatigue in right LDM and ES were significantly (p < 0.05) higher in SP bicycle. This was corroborated by a psychophysical assessment based on RBG pain scale. The study also showed that there was a significantly lesser fatigue with the SU bicycle than the RF and SP bicycles.
Copyright © 2013 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Entities:  

Keywords:  Bicycle design; Muscle fatigue; Posture; RGB pain scale; Surface electromyography (sEMG)

Mesh:

Year:  2013        PMID: 23647886     DOI: 10.1016/j.apergo.2013.04.013

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  2 in total

1.  Relationship Between Body Positioning, Muscle Activity, and Spinal Kinematics in Cyclists With and Without Low Back Pain: A Systematic Review.

Authors:  Gabriel M Streisfeld; Caitlin Bartoszek; Emily Creran; Brianna Inge; Marc D McShane; Therese Johnston
Journal:  Sports Health       Date:  2016-10-27       Impact factor: 3.843

2.  A real-time fatigue monitoring and analysis system for lower extremity muscles with cycling movement.

Authors:  Szi-Wen Chen; Jiunn-Woei Liaw; Hsiao-Lung Chan; Ya-Ju Chang; Chia-Hao Ku
Journal:  Sensors (Basel)       Date:  2014-07-10       Impact factor: 3.576

  2 in total

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