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Analysis of induced dynamic biceps EMG signal complexity using Markov transition networks.

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第一作者： G,Venugopal

第一单位： Department of Instrumentation and Control Engineering, N.S.S. College of Engineering Palakkad, Affiliated to A P J Abdul Kalam Technological University, Kerala, 678008 India.

作者： G,Venugopal ^[1] ; Divya,Sasidharan ^[1] ; Ramakrishnan,Swaminathan ^[2]

作者单位： Department of Instrumentation and Control Engineering, N.S.S. College of Engineering Palakkad, Affiliated to A P J Abdul Kalam Technological University, Kerala, 678008 India. ^[1] Biomedical Engineering Group, Department of Applied Mechanics and CoE in Medical Device Regulations and Standards, IIT Madras, Chennai, 600036 India. ^[2]

关键词 Biceps brachii Complex networks Markov transition field Maximum voluntary contractions Muscle fatigue Surface electromyography signals

DOI 10.1007/s13534-024-00372-5

PMID 38946822

发布时间 2025-03-30

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Biomedical engineering letters

2024年14卷4期

765-774页

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Biomedical engineering letters

2024年14卷4期

765-774页

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Analysis of induced dynamic biceps EMG signal complexity using Markov transition networks.

Biomedical engineering letters

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Analysis of induced dynamic biceps EMG signal complexity using Markov transition networks.

Biomedical engineering letters

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Biomedical engineering letters

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