A multi-layer finite element model of the surface EMG signal

Author:

Lowery M.,Stoykov N.,Taflove A.,Kuiken T.

Publisher

IEEE

Cited by 5 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. Real-Time Surgical Tool Classification and Characterization with Surface-EMG Signals;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

2. Automated Microsurgical Tool Categorization using a Surface-Based EMG System;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

3. An event driven approximate bio-electrical model generating surface electromyography RMS features;2022 35th International Conference on VLSI Design and 2022 21st International Conference on Embedded Systems (VLSID);2022-02

4. Retrieving motor unit depth using inverse approach on HD-sEMG signals;2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME);2021-10-07

5. Normalizing shoulder EMG: An optimal set of maximum isometric voluntary contraction tests considering reproducibility;Journal of Electromyography and Kinesiology;2017-12

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