Comparison Study of Electromyography UsingWavelet and Neural Network

Comparison Study of Electromyography UsingWavelet and Neural Network

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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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Bibliographic Details
Main Authors: Sadeem Nabeel Saleem, Nebras Hussain Gheab
Format: Article
Language:English
Published: Al-Khwarizmi College of Engineering – University of Baghdad 2008-01-01
Series:Al-Khawarizmi Engineering Journal
Subjects:
EMG
Wavelet transform
neural network
Back propagation.
Online Access:http://www.iasj.net/iasj?func=fulltext&aId=2390
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record_format Article
spelling doaj-b0a813e96ac9499cab0b071d74e7824a2020-11-25T01:17:56Zeng Al-Khwarizmi College of Engineering – University of BaghdadAl-Khawarizmi Engineering Journal1818-11712008-01-0143108119Comparison Study of Electromyography UsingWavelet and Neural NetworkSadeem Nabeel SaleemNebras Hussain GheabIn 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.http://www.iasj.net/iasj?func=fulltext&aId=2390EMGWavelet transformneural networkBack propagation.
collection DOAJ
language English
format Article
sources DOAJ
author Sadeem Nabeel Saleem
Nebras Hussain Gheab
spellingShingle Sadeem Nabeel Saleem
Nebras Hussain Gheab
Comparison Study of Electromyography UsingWavelet and Neural Network
Al-Khawarizmi Engineering Journal
EMG
Wavelet transform
neural network
Back propagation.
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
series Al-Khawarizmi Engineering Journal
issn 1818-1171
publishDate 2008-01-01
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.
topic EMG
Wavelet transform
neural network
Back propagation.
url http://www.iasj.net/iasj?func=fulltext&aId=2390
work_keys_str_mv AT sadeemnabeelsaleem comparisonstudyofelectromyographyusingwaveletandneuralnetwork
AT nebrashussaingheab comparisonstudyofelectromyographyusingwaveletandneuralnetwork
_version_ 1725144800460537856

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