Couverture de Signal Classification
Titre du livre:

Signal Classification

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

LAP LAMBERT Academic Publishing (23-12-2019 )

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ISBN-13:

978-620-0-49890-8

ISBN-10:
6200498903
EAN:
9786200498908
Langue du livre:
Anglais
texte du rabat:
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.
Maison d'édition:
LAP LAMBERT Academic Publishing
Site Web:
https://www.lap-publishing.com/
de (auteur) :
Emine Yaman
Numéro de pages:
168
Publié le:
23-12-2019
Stock:
Disponible
Catégorie:
Informatique, IT
Prix:
2,545.98 NT$
Mots-clés:
makine ogrenmesi, Machine Learning Algorithms, EMG Signal Classification, EMG signals, EMG

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