Muscle Activity Map Reconstruction from High Density Surface EMG Signals With Missing Channels Using Image Inpainting and Surface Reconstruction Methods
Author:
Funder
University of Isfahan.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/10/7949194/07571144.pdf?arnumber=7571144
Cited by 14 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. Myoformer: sEMG missing signal recovery for gesture recognition based on multi-channel self-attention mechanism;Biomedical Signal Processing and Control;2023-09
2. Explainable and Robust Deep Forests for EMG-Force Modeling;IEEE Journal of Biomedical and Health Informatics;2023-06
3. Explication of Extrinsic Forearm Muscles On the Classification of Thumb Position Using High-Density Surface Electromyogram;The International Journal of Integrated Engineering;2023-04-05
4. A Robust Method With Adaptive Inpainting for Edge Detection of Single Silicon Crystal;IEEE Sensors Journal;2023-03-01
5. Biased instantaneous regional muscle activation maps: Embedded fuzzy topology and image feature analysis;Frontiers in Bioengineering and Biotechnology;2022-12-22
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