Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses
Article
Asogbon, M.G., Samuel, O.W., Geng, Y., Oluwagbemi, O., Ning, J., Chen, S., Ganesh, N., Feng, P. and Li, G. 2020. Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses. Computer Methods and Programs in Biomedicine. 184. https://doi.org/10.1016/j.cmpb.2019.105278
Type | Article |
---|---|
Title | Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses |
Authors | Asogbon, M.G., Samuel, O.W., Geng, Y., Oluwagbemi, O., Ning, J., Chen, S., Ganesh, N., Feng, P. and Li, G. |
Abstract | Background and Objective |
Keywords | Pattern recognition; Upper-limb prostheses; Electromyogram (EMG); Muscle contraction force variation; Subject mobility; Maximum Voluntary Contraction (MVC) |
Sustainable Development Goals | 3 Good health and well-being |
Middlesex University Theme | Health & Wellbeing |
Publisher | Elsevier |
Journal | Computer Methods and Programs in Biomedicine |
ISSN | 0169-2607 |
Electronic | 1872-7565 |
Publication dates | |
Online | 17 Dec 2019 |
Feb 2020 | |
Publication process dates | |
Submitted | 11 Sep 2019 |
Accepted | 29 Nov 2019 |
Deposited | 12 Apr 2024 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cmpb.2019.105278 |
Language | English |
https://repository.mdx.ac.uk/item/v3807
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