Signal Classification: Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification

Yaman, Emine

ISBN 10: 6200498903 / ISBN 13: 9786200498908

Published by LAP LAMBERT Academic Publishing, 2019

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Bibliographic Details

• Title: Signal Classification: Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6200498903
• ISBN 13: 9786200498908
• Binding: paperback
• Condition: New
• Book Type: book

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Synopsis

In this study the EMG data that are collected from 25 subjects were analyzed. Two separate groups of myopathy and ALS patients and a control group are the participants of the research. Both females and males are included in the all groups. We preprocessed the EMG signals and used autoregressive method (AR) and discrete wavelet method (DWT) for feature extraction. Features are applied to various classification algorithms, namely Multilayer perceptron, C 4,5, CART, K-NN, Random forest tree.