Crosstalk in Mechanomyographic Signals From Elbow Flexor Muscles During Submaximal to Maximal Isometric Flexion, Pronation, and Supination Torque Tasks

Author:

Talib Irsa1,Sundaraj Kenneth2,Lam Chee Kiang1

Affiliation:

1. School of Mechatronic Engineering, Universiti Malaysia Perlis, Arau, Perlis 02600, Malaysia

2. Centre for Telecommunication Research and Innovation, Fakulti Kejuruteraan Elektronik and Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka 76100, Malaysia

Abstract

Abstract This study analyzed the crosstalk in mechanomyographic (MMG) signals from elbow flexors during isometric muscle actions from 20% to 100% maximum voluntary isometric contraction (MVIC). Twenty-five young, healthy, male participants performed the isometric elbow flexion, forearm pronation, and supination tasks at an elbow joint angle of 90 deg. The MMG signals from the biceps brachii (BB), brachialis (BRA), and brachioradialis (BRD) muscles were recorded using accelerometers. The cross-correlation coefficient was used to quantify the crosstalk in MMG signals, recorded in a direction transverse to muscle fiber axis, among the muscle pairs (P1: BB and BRA, P2: BRA and BRD, and P3: BB and BRD). In addition, the MMG RMS and MPF were quantified. The mean normalized RMS and mean MPF exhibited increasing (r > 0.900) and decreasing (r < −0.900) trends, respectively, with increases in the effort levels in all three tasks. The magnitude of crosstalk ranged from 0.915% to 21.565% in all three muscle pairs. The crosstalk was found to exhibit high positive correlations with submaximal to maximal flexion [P1 (r = 0.970), P2 (r = 0.951), and P3 (r = 0.824)], pronation [P1 (r = 0.811), P2 (r = 0.763), and P3 (r = 0.901)] and supination [P1 (r = 0.898), P2 (r = 0.838), and P3 (r = 0.852)] torque levels (eight out of nine p-values were < 0.05). Regardless of the high positive correlation between crosstalk and level of effort, the crosstalk remained at a low range (0.915–21.565%) with increases in the torque levels.

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

Reference32 articles.

1. Mechanomyography Sensors for Muscle Assessment: A Brief Review;J. Phys. Ther. Sci.,2012

2. Mechanomyography Sensor Development, Related Signal Processing, and Applications: A Systematic Review;IEEE Sens. J.,2013

3. A Systematic Review of Muscle Activity Assessment of the Biceps Brachii Muscle Using Mechanomyography;J. Musculoskeletal Neuronal Interact.,2018

4. Association of Anthropometric Parameters With Amplitude and Crosstalk of Mechanomyographic Signals During Forearm Flexion, Pronation and Supination Torque Tasks;Sci. Rep.,2019

5. Self-Regulated Force and Neuromuscular Responses During Fatiguing Isometric Leg Extensions Anchored to a Rating of Perceived Exertion;Appl. Psychophysiol. Biofeedback,2019

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3