Analysis of Muscle Fiber Type Proportions in Surface Electromyography Signals of Athletes Using Reassigned Morlet Scalogram
Author:
Affiliation:
1. Department of Instrumentation and Control Engineering, NSS College of Engineering, APJ Abdul Kalam Technological University, Palakkad, Kerala, India
2. Department of Applied Mechanics, Biomedical Engineering Group, IIT Madras, Chennai, India
Funder
Science and Engineering Research Board, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/19/10367905/10466626.pdf?arnumber=10466626
Reference48 articles.
1. The extraction of neural strategies from the surface EMG
2. Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles Using Transition Network Approach
3. Influence of Viscoelasticity on Dynamic Fatiguing Behavior of Muscle Using Myotonometry and Surface Electromyography Measurements
4. Standards of instrumentation of EMG
5. Data on the distribution of fibre types in thirty-six human muscles
Cited by 1 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
1. Analysis of Recorded Surface Electromyography Signals Under Varied Muscle Fiber Proportions Using Fractal Dimension;IEEE Sensors Letters;2024-08
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