Comparison study of electromyography using wavelet and neural network
Other Title(s)
دراسة مقارنة لإشارة التخطيط العضلي باستخدام المويجة و الشبكات العصبية
Joint Authors
Ghaib, Nibras Husayn
Salim, Sadim Nabil
Source
al-Khwarizmi Engineering Journal
Issue
Vol. 4, Issue 3 (30 Sep. 2008), pp.108-119, 12 p.
Publisher
University of Baghdad al-Khwarizmi College of Engineering
Publication Date
2008-09-30
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Topics
Abstract AR
في هذا البحث، قدمنا طريقة لتحليل خمس أنواع لخمسة عشر مجموعة من مجاميع المويجة لثمانية عشر إشارة عضلية مختلفة.
الدراسة المقارنة تظهر أيضا أداء المجاميع المختلفة بعد معالجة و تحوير النتائج بأسلوب الإرجاع العكسي للشبكات العصبية.
هذا سوف يساعد الباحثين في الخطوة الأولى لتحليل الإشارة العضلية.
كم هائل من النتائج تقدم و تصنف للمناقشة و الوصول إلى نتائج.
Abstract EN
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.
American Psychological Association (APA)
Ghaib, Nibras Husayn& Salim, Sadim Nabil. 2008. Comparison study of electromyography using wavelet and neural network. al-Khwarizmi Engineering Journal،Vol. 4, no. 3, pp.108-119.
https://search.emarefa.net/detail/BIM-379099
Modern Language Association (MLA)
Ghaib, Nibras Husayn& Salim, Sadim Nabil. Comparison study of electromyography using wavelet and neural network. al-Khwarizmi Engineering Journal Vol. 4, no. 3 (2008), pp.108-119.
https://search.emarefa.net/detail/BIM-379099
American Medical Association (AMA)
Ghaib, Nibras Husayn& Salim, Sadim Nabil. Comparison study of electromyography using wavelet and neural network. al-Khwarizmi Engineering Journal. 2008. Vol. 4, no. 3, pp.108-119.
https://search.emarefa.net/detail/BIM-379099
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 117-118
Record ID
BIM-379099