Phantom motion intent decoding for transhumeral prosthesis control with fused neuromuscular and brain wave signals-Reference-Cited by-同舟云学术

Phantom motion intent decoding for transhumeral prosthesis control with fused neuromuscular and brain wave signals

Published:2021-03 Issue:1 Volume:3 Page:77-88
ISSN:2631-6315
Container-title:IET Cyber-Systems and Robotics
language:en
Short-container-title:IET cyber-systems robotics

Author:

Nsugbe Ejay¹,Samuel Oluwarotimi Williams²³,Asogbon Mojisola Grace²³,Li Guanglin²³

Affiliation:

1. Independent Researcher

2. Chinese Academy of Sciences (CAS) Key Laboratory of Human‐Machine Intelligence‐Synergy System, Shenzhen Institutes of Advanced Technology Shenzhen China

3. Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/csy2.12009

Reference40 articles.

1. The rehabilitation of the amputee in the developing world

2. Limbless Statistics.http://www.limbless‐statistics.org/. Accessed January 2020

3. Multi-Modal Sensing Techniques for Interfacing Hand Prostheses: A Review

4. Nsugbe E. et al.:Gesture recognition for transhumeral prosthesis control using EMG and NIR. IET Cyber‐Systems and Robotics2 122–131(2020a).https://doi.org/10.1049/iet-csr.2020.0008

5. Control of Upper Limb Prostheses: Terminology and Proportional Myoelectric Control—A Review

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