Development of a High-SNR Stochastic sEMG Processor in a Multiple Muscle Elbow Joint-Reference-Cited by-同舟云学术

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Development of a High-SNR Stochastic sEMG Processor in a Multiple Muscle Elbow Joint

Published:2023 Issue: Volume:31 Page:2654-2664
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Chang Handdeut¹^ORCID,Kyeong Seulki²,Na Youngjin³^ORCID,Kim Yeongjin¹^ORCID,Kim Jung⁴^ORCID

Affiliation:

1. Department of Mechanical Engineering, Incheon National University, Incheon, South Korea

2. Department of Mechanical Engineering, Hannam University, Daejeon, South Korea

3. Department of Mechanical Systems Engineering, Sookmyung Women’s University, Seoul, South Korea

4. Korea Advanced Institute of Science and Technology, Daejeon, South Korea

Funder

Incheon National University (International Cooperative) Research Grant in 2021

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10146313.pdf?arnumber=10146313

Reference38 articles.

1. Myoelectric Signal Processing: Optimal Estimation Applied to Electromyography - Part I: Derivation of the Optimal Myoprocessor

2. Models of recruitment and rate coding organization in motor-unit pools

3. Bayesian Filtering of Myoelectric Signals

4. The relation between force, velocity and integrated electrical activity in human muscles

5. Probability density of the surface electromyogram and its relation to amplitude detectors

Cited by 1 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. Effect of different robot-assisted muscle strength training modes on muscle activation of elbow joint^*;2024 IEEE International Conference on Real-time Computing and Robotics (RCAR);2024-06-24

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