Electrocardiography Signal Analysis Using Neural Networks on FPGA: System Design and Implementation - Couverture souple

Egila, Mohamed G.; El-Moursy, Magdy; Zaki, Amal

 
9783330317840: Electrocardiography Signal Analysis Using Neural Networks on FPGA: System Design and Implementation
Couverture souple
ISBN 10 : 3330317841 ISBN 13 : 9783330317840
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

Electrocardiography (ECG) signal analysis is considered one of the core components of any integrated medical care systems. ECG diagnosis is one of the most valuable diagnostic tools. This book presents a proposed design for an integrated ECG diagnosing system. This system uses digital system processing techniques to analyze ECG signals. This methodology employs Highpass Least-Square Linear Phase Finite Impulse Response (FIR) filtering technique to remove the baseline wander noise embedded in the input ECG signal to the system or reduce the noise as much as possible. Discrete Wavelet Transform (DWT) was utilized as a feature extraction methodology to extract the reduced feature set from the input ECG signal. The design uses back propagation neural network as a classifier to determine whether the input ECG signal represents normal or abnormal ECG signal. The whole system is implemented on Field Programming Gate Array (FPGA) board. Necessary simulations for the implemented system have been done, indicating that the implemented system has a good accuracy compared to other designs, achieving total accuracy of 97.8%, and achieving reduction in resources on FPGA implementation.

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À propos de l?auteur

Mohamed Egila received his Bachelor degree, and Master degree in Electronics and Communications from Cairo University,Egypt, in 2003 and 2008 respectively, and PhD degree in Electronics and Communications from Ain Shams University, Egypt, in 2016. He works now as a Researcher in Microelectronics Department Electronics Research Institute since 2016.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
3330317841
ISBN 13 
9783330317840
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
Personne responsable
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