Scientific Reports (Sep 2022)

Analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors

  • Irsa Talib,
  • Kenneth Sundaraj,
  • Jawad Hussain,
  • Chee Kiang Lam,
  • Zeshan Ahmad

DOI
https://doi.org/10.1038/s41598-022-20223-6
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 8

Abstract

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Abstract This study aimed to analyze anthropometrics and mechanomyography (MMG) signals as forearm flexion, pronation, and supination torque predictors. 25 young, healthy, male participants performed isometric forearm flexion, pronation, and supination tasks from 20 to 100% maximal voluntary isometric contraction (MVIC) while maintaining 90° at the elbow joint. Nine anthropometric measures were recorded, and MMG signals from the biceps brachii (BB), brachialis (BRA), and brachioradialis (BRD) muscles were digitally acquired using triaxial accelerometers. These were then correlated with torque values. Significant positive correlations were found for arm circumference (CA) and MMG root mean square (RMS) values with flexion torque. Flexion torque might be predicted using CA (r = 0.426–0.575), a pseudo for muscle size while MMGRMS (r = 0.441), an indication of muscle activation.