Comparison Study of Electromyography UsingWavelet and Neural Network

In this paper we present a method to analyze five types with fifteen wavelet families for eighteen different EMG signals. A comparison study is also given to show performance of various families after modifying the results with back propagation Neural Network. This is actually will help the research...

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Autores principales:	Sadeem Nabeel Saleem, Nebras Hussain Gheab
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2008
Materias:	EMG Wavelet transform neural network Back propagation. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/b0a813e96ac9499cab0b071d74e7824a
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spelling	oai:doaj.org-article:b0a813e96ac9499cab0b071d74e7824a2021-12-02T06:41:04ZComparison Study of Electromyography UsingWavelet and Neural Network1818-1171https://doaj.org/article/b0a813e96ac9499cab0b071d74e7824a2008-01-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=2390https://doaj.org/toc/1818-1171In this paper we present a method to analyze five types with fifteen wavelet families for eighteen different EMG signals. A comparison study is also given to show performance of various families after modifying the results with back propagation Neural Network. This is actually will help the researchers with the first step of EMG analysis. Huge sets of results (more than 100 sets) are proposed and then classified to be discussed and reach the final.Sadeem Nabeel SaleemNebras Hussain GheabAl-Khwarizmi College of Engineering – University of BaghdadarticleEMGWavelet transformneural networkBack propagation.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 4, Iss 3, Pp 108-119 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	EMG Wavelet transform neural network Back propagation. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	EMG Wavelet transform neural network Back propagation. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Sadeem Nabeel Saleem Nebras Hussain Gheab Comparison Study of Electromyography UsingWavelet and Neural Network
description	In this paper we present a method to analyze five types with fifteen wavelet families for eighteen different EMG signals. A comparison study is also given to show performance of various families after modifying the results with back propagation Neural Network. This is actually will help the researchers with the first step of EMG analysis. Huge sets of results (more than 100 sets) are proposed and then classified to be discussed and reach the final.
format	article
author	Sadeem Nabeel Saleem Nebras Hussain Gheab
author_facet	Sadeem Nabeel Saleem Nebras Hussain Gheab
author_sort	Sadeem Nabeel Saleem
title	Comparison Study of Electromyography UsingWavelet and Neural Network
title_short	Comparison Study of Electromyography UsingWavelet and Neural Network
title_full	Comparison Study of Electromyography UsingWavelet and Neural Network
title_fullStr	Comparison Study of Electromyography UsingWavelet and Neural Network
title_full_unstemmed	Comparison Study of Electromyography UsingWavelet and Neural Network
title_sort	comparison study of electromyography usingwavelet and neural network
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2008
url	https://doaj.org/article/b0a813e96ac9499cab0b071d74e7824a
work_keys_str_mv	AT sadeemnabeelsaleem comparisonstudyofelectromyographyusingwaveletandneuralnetwork AT nebrashussaingheab comparisonstudyofelectromyographyusingwaveletandneuralnetwork
_version_	1718399773199826944

Comparison Study of Electromyography UsingWavelet and Neural Network

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