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Muscle Fatigue Analysis Using EMG Obtained from IoT Based Neurorehabilitation Device

机译：使用基于物联网的神经罗布织络装置获得的EMG肌疲劳分析

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作者
Sivaswaamy Mohana, Preethi.;
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作者单位

State University of New York at Buffalo.;

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授予单位 State University of New York at Buffalo.;
学科
学位 M.S.
年度 2020
页码 119 p.
总页数 119
原文格式 PDF
正文语种 eng
中图分类 AAI27997463;
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1. MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue [J] . Zhang Yongqing, Chen Siyu, Cao Wenpeng, Expert systems with applications . 2021,第Deca期

机译：MFFNET：基于SEMG分析检测肌肉疲劳的关注机制的多维特征融合网络
2. Muscle fatigue analysis using surface EMG signals and time–frequency based medium-to-low band power ratio [J] . Karthick P.A., Ramakrishnan S. Electronics Letters . 2016,第3期

机译：使用表面肌电信号和基于时频的中低频功率比进行肌肉疲劳分析
3. EMG-based muscle fatigue assessment during dynamic contractions using principal component analysis [J] . Rogers D.R., MacIsaac D.T. Journal of electromyography and kinesiology: Official journal of the International Society of Electrophysiological Kinesiology . 2011,第5期

机译：使用主成分分析的动态收缩过程中基于肌电图的肌肉疲劳评估
4. Muscle Fatigue Analysis by Using a Scale Mixture-based Stochastic Model of Surface EMG Signals [C] . Akira Furui, Toshio Tsuji Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2019

机译：使用基于比例混合的表面肌电信号的随机模型进行肌肉疲劳分析
5. Fatigue rate, central activation ratio, and EMG analysis in volunteers with quadriceps muscle inhibition following isokinetic quadriceps fatigue. [D] . Leonard, Jamie L. 2006

机译：等速股四头肌疲劳后患有股四头肌肌肉抑制的志愿者的疲劳率，中枢激活率和EMG分析。
6. A Semi-active Exoskeleton Based on EMGs Reduces Muscle Fatigue When Squatting [O] . Zhuo Wang, Xinyu Wu, Yu Zhang, 2021

机译：基于EMG的半活性外骨骼在蹲下时减少了肌肉疲劳
7. A Semi-active Exoskeleton Based on EMGs Reduces Muscle Fatigue When Squatting [O] . Zhuo Wang, Xinyu Wu, Yu Zhang, 2021

机译：基于EMG的半活性外骨骼在蹲下时减少了肌肉疲劳
8. Assessment of Muscle Fatigue from TF Distributions of SEMG Signals [R] . Potes, C., VonBorries, R., Miosso, C., 2008

机译：从sEmG信号的TF分布评估肌肉疲劳

Muscle Fatigue Analysis Using EMG Obtained from IoT Based Neurorehabilitation Device

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