Heart sound diagnosis using nonlinear arx model / Noraishah Shamsuddin

This thesis presents a research work on a diagnosis system for heart sound based on nonlinear ARX (NARX) model. The system uses neural network for model estimation and classification of several heart diseases. Six NARX models which represent Normal and other five categories of heart diseases such as...

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Main Author: Shamsuddin, Noraishah
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2012
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/19108/1/ABS_NORAISHAH%20SHAMSUDDIN%20TDRA%20VOL%201%20IGS%2012.pdf
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author Shamsuddin, Noraishah
author_facet Shamsuddin, Noraishah
author_sort Shamsuddin, Noraishah
collection UITM
description This thesis presents a research work on a diagnosis system for heart sound based on nonlinear ARX (NARX) model. The system uses neural network for model estimation and classification of several heart diseases. Six NARX models which represent Normal and other five categories of heart diseases such as Atrial Septal Defect (ASD), Pulmonary Stenosis (PS), Patent Ductus Arteriosus (PDA), Ventricular Septal Defect (VSD) and Mitral Regurgitation (MR) are estimated. A Lipschitz method and Levenberg Marquardt algorithm is used to determine the model order number and train the network respectively. The R-square value of the OSA prediction of the signal is above 99% for all heart sound signals.
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spelling oai:ir.uitm.edu.my:191082018-06-11T01:02:33Z https://ir.uitm.edu.my/id/eprint/19108/ Heart sound diagnosis using nonlinear arx model / Noraishah Shamsuddin Shamsuddin, Noraishah Malaysia R Medicine (General) This thesis presents a research work on a diagnosis system for heart sound based on nonlinear ARX (NARX) model. The system uses neural network for model estimation and classification of several heart diseases. Six NARX models which represent Normal and other five categories of heart diseases such as Atrial Septal Defect (ASD), Pulmonary Stenosis (PS), Patent Ductus Arteriosus (PDA), Ventricular Septal Defect (VSD) and Mitral Regurgitation (MR) are estimated. A Lipschitz method and Levenberg Marquardt algorithm is used to determine the model order number and train the network respectively. The R-square value of the OSA prediction of the signal is above 99% for all heart sound signals. Institute of Graduate Studies, UiTM 2012 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/19108/1/ABS_NORAISHAH%20SHAMSUDDIN%20TDRA%20VOL%201%20IGS%2012.pdf Heart sound diagnosis using nonlinear arx model / Noraishah Shamsuddin. (2012) In: The Doctoral Research Abstracts. IPSis Biannual Publication, 1 (1). Institute of Graduate Studies, UiTM.
spellingShingle Malaysia
R Medicine (General)
Shamsuddin, Noraishah
Heart sound diagnosis using nonlinear arx model / Noraishah Shamsuddin
title Heart sound diagnosis using nonlinear arx model / Noraishah Shamsuddin
title_full Heart sound diagnosis using nonlinear arx model / Noraishah Shamsuddin
title_fullStr Heart sound diagnosis using nonlinear arx model / Noraishah Shamsuddin
title_full_unstemmed Heart sound diagnosis using nonlinear arx model / Noraishah Shamsuddin
title_short Heart sound diagnosis using nonlinear arx model / Noraishah Shamsuddin
title_sort heart sound diagnosis using nonlinear arx model noraishah shamsuddin
topic Malaysia
R Medicine (General)
url https://ir.uitm.edu.my/id/eprint/19108/1/ABS_NORAISHAH%20SHAMSUDDIN%20TDRA%20VOL%201%20IGS%2012.pdf
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