Classification of EMG signals through wavelet analysis and neural networks for controlling an active hand prosthesis-Reference-Cited by-同舟云学术

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Classification of EMG signals through wavelet analysis and neural networks for controlling an active hand prosthesis

Published:2007-06 Issue: Volume: Page:
ISSN:
Container-title:2007 IEEE 10th International Conference on Rehabilitation Robotics
language:
Short-container-title:

Author:

Arvetti Matteo,Gini Giuseppina,Folgheraiter Michele

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4428348/4428349/04428476.pdf?arnumber=4428476

Cited by 20 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. Electromyography signal based hand gesture classification system using Hilbert Huang transform and deep neural networks;Heliyon;2024-06

2. Instance-based learning with prototype reduction for real-time proportional myocontrol: a randomized user study demonstrating accuracy-preserving data reduction for prosthetic embedded systems;Medical & Biological Engineering & Computing;2023-10-05

3. Control of Hand Prostheses using EMG based Pattern Recognition: A Review of Existing Classification Techniques and Future Implementation;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

4. Feasibility assessment of transfer functions describing biomechanics of the human lower limb during the gait cycle;Biomedical Signal Processing and Control;2021-08

5. Efficient Hand Movement Detection Using k-Means Clustering and k-Nearest Neighbor Algorithms;Journal of Medical and Biological Engineering;2020-05-28

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