Bookcover of Signal Classification
Booktitle:

Signal Classification

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

LAP LAMBERT Academic Publishing (2019-12-23 )

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ISBN-13:

978-620-0-49890-8

ISBN-10:
6200498903
EAN:
9786200498908
Book language:
English
Blurb/Shorttext:
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.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Emine Yaman
Number of pages:
168
Published on:
2019-12-23
Stock:
Available
Category:
Informatics, IT
Price:
71.90 €
Keywords:
makine ogrenmesi, Machine Learning Algorithms, EMG Signal Classification, EMG signals, EMG

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