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

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

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

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3330317841
ISBN 13 
9783330317840
Einband
Taschenbuch
Anzahl der Seiten
124
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Fastbook Publishing
customerservice@vdm-vsg.de

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Riga
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