Comparison Study of Electromyography Using Wavelet 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 researc...

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Autores principales:	Nebras Hussain Gheab, Sadeem Nabeel Saleem
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2019
Materias:	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/12c8f800dc4e4818b62e9b3dd67e8a5e
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spelling	oai:doaj.org-article:12c8f800dc4e4818b62e9b3dd67e8a5e2021-12-02T01:27:14ZComparison Study of Electromyography Using Wavelet and Neural Network1818-11712312-0789https://doaj.org/article/12c8f800dc4e4818b62e9b3dd67e8a5e2019-03-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/600https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 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. Nebras Hussain GheabSadeem Nabeel SaleemAl-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 4, Iss 3 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Nebras Hussain Gheab Sadeem Nabeel Saleem Comparison Study of Electromyography Using Wavelet 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	Nebras Hussain Gheab Sadeem Nabeel Saleem
author_facet	Nebras Hussain Gheab Sadeem Nabeel Saleem
author_sort	Nebras Hussain Gheab
title	Comparison Study of Electromyography Using Wavelet and Neural Network
title_short	Comparison Study of Electromyography Using Wavelet and Neural Network
title_full	Comparison Study of Electromyography Using Wavelet and Neural Network
title_fullStr	Comparison Study of Electromyography Using Wavelet and Neural Network
title_full_unstemmed	Comparison Study of Electromyography Using Wavelet and Neural Network
title_sort	comparison study of electromyography using wavelet and neural network
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2019
url	https://doaj.org/article/12c8f800dc4e4818b62e9b3dd67e8a5e
work_keys_str_mv	AT nebrashussaingheab comparisonstudyofelectromyographyusingwaveletandneuralnetwork AT sadeemnabeelsaleem comparisonstudyofelectromyographyusingwaveletandneuralnetwork
_version_	1718403057638703104

Comparison Study of Electromyography Using Wavelet and Neural Network

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