Literature DB >> 36187255

Age-related difference in muscle metabolism patterns during upper limb's encircling exercise: a near-infrared spectroscopy study.

Hucheng Chen1,2, Jianbin Liang1,2, Wenzhu Huang3, Anping Yang4, Richong Pang1, Chaochao Zhao4, Kai Wu5, Chong Wang1, Kecheng Yan1, YiZheng Zhang1, Shuoshu Lin1, Yuanrong Xie1, Yuxiang Wu6,7, Jinyan Sun4,8.   

Abstract

Aging is usually accompanied by decrease in limb motor function and change in muscle metabolism patterns. However, few studies have investigated the aging effect on muscle hemodynamics of the upper extremity. This study aims to explore the aging effect on muscle metabolism patterns during upper limb's exercise. Twelve middle-aged and elderly subjects and 12 young subjects were recruited, and muscle oxygenation signals from these subjects' biceps brachii muscles were collected during active and passive upper limb's encircling exercise with near-infrared spectroscopy (NIRS). The old group showed stronger muscle hemodynamic metabolism than the young group. The multiscale fuzzy approximate entropy and multiscale transfer entropy analyses indicated higher complexity and stronger interlimb coupling of the muscle oxygenation signals for the old group. Based on the selected muscle metabolism features, the constructed support vector machine model showed a high accuracy rate for classifying the two groups of subjects: 91.6% for the passive mode and 87.5% for the active mode. Our results proved the specific muscle metabolism patterns in the upper limb's exercise for old subjects, promoting the understanding of the aging effect on muscle hemodynamics.
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 36187255      PMCID: PMC9484442          DOI: 10.1364/BOE.462551

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.562


  41 in total

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Journal:  Exp Brain Res       Date:  2006-03-31       Impact factor: 1.972

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Authors:  Jacob J Sosnoff; Stefani J Voudrie
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Review 3.  Understanding near infrared spectroscopy and its application to skeletal muscle research.

Authors:  Thomas J Barstow
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4.  Functional near infrared spectroscopy study of age-related difference in cortical activation patterns during cycling with speed feedback.

Authors:  Pei-Yi Lin; Sang-I Lin; Jia-Jin J Chen
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-10-06       Impact factor: 3.802

Review 5.  Normal Changes in Gait and Mobility Problems in the Elderly.

Authors:  Maricarmen Cruz-Jimenez
Journal:  Phys Med Rehabil Clin N Am       Date:  2017-11       Impact factor: 1.784

6.  Entropy analysis of muscular near-infrared spectroscopy (NIRS) signals during exercise programme of type 2 diabetic patients: quantitative assessment of muscle metabolic pattern.

Authors:  Filippo Molinari; U Rajendra Acharya; Roshan Joy Martis; Riccardo De Luca; Giuliana Petraroli; William Liboni
Journal:  Comput Methods Programs Biomed       Date:  2013-09-07       Impact factor: 5.428

Review 7.  Gait and balance in the elderly. Two functional capacities that link sensory and motor ability to falls.

Authors:  L I Wolfson; R Whipple; P Amerman; J Kaplan; A Kleinberg
Journal:  Clin Geriatr Med       Date:  1985-08       Impact factor: 3.076

8.  Differential Changes with Age in Multiscale Entropy of Electromyography Signals from Leg Muscles during Treadmill Walking.

Authors:  Hyun Gu Kang; Jonathan B Dingwell
Journal:  PLoS One       Date:  2016-08-29       Impact factor: 3.240

9.  Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study.

Authors:  Xiaoling Chen; Ping Xie; Yuanyuan Zhang; Yuling Chen; Fangmei Yang; Litai Zhang; Xiaoli Li
Journal:  Front Neurol       Date:  2018-05-01       Impact factor: 4.003

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