Feature Selection Based on Binary Tree Growth Algorithm for the Classification of Myoelectric Signals

Feature Selection Based on Binary Tree Growth Algorithm for the Classification of Myoelectric Signals

Electromyography (EMG) has been widely used in rehabilitation and myoelectric prosthetic applications. However, a recent increment in the number of EMG features has led to a high dimensional feature vector. This in turn will degrade the classification performance and increase the complexity of the r...

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Bibliographic Details
Main Authors: Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Nursabillilah Mohd Ali
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Machines
Subjects:
feature selection
tree growth algorithm
electromyography
classification
time frequency features
Online Access:https://www.mdpi.com/2075-1702/6/4/65

Internet

https://www.mdpi.com/2075-1702/6/4/65

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