Extraction and Classification of Multichannel Electromyographic Activation Trajectories for Hand Movement Recognition-Reference-Cited by-同舟云学术

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Extraction and Classification of Multichannel Electromyographic Activation Trajectories for Hand Movement Recognition

Published:2016-06 Issue:6 Volume:24 Page:662-673
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

AbdelMaseeh Meena,Chen Tsu-Wei,Stashuk Daniel W.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/7491402/07128402.pdf?arnumber=7128402

Cited by 28 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. Classification of Hand Gestures with Real Time Muscle Activity Detection for Myoelectric Control of Upper Limb Prosthesis;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

2. Signal Acquisition and Time–Frequency Perspective of EMG Signal-based Systems and Applications;IETE Technical Review;2023-10-15

3. Early Identification of Gait Asymmetry Using a Dual-Channel Hybrid Deep Learning Model Based on a Wearable Sensor;Symmetry;2023-04-12

4. Artificial Intelligence for sEMG-Based Muscular Movement Recognition for Hand Prosthesis;IEEE Access;2023

5. sEMG-Based Minimally Supervised Regression Using Soft-DTW Neural Networks for Robot Hand Grasping Control;IEEE Robotics and Automation Letters;2022-10

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