Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification

Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification

To date, the usage of electromyography (EMG) signals in myoelectric prosthetics allows patients to recover functional rehabilitation of their upper limbs. However, the increment in the number of EMG features has been shown to have a great impact on performance degradation. Therefore, feature selecti...

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Bibliographic Details
Main Authors: Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Axioms
Subjects:
electromyography
discrete wavelet transform
binary particle swarm optimization
binary differential evolution
feature selection
hybrid optimization
classification
Online Access:https://www.mdpi.com/2075-1680/8/3/79

Internet

https://www.mdpi.com/2075-1680/8/3/79

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