Complexity analysis of heart sounds

Phonocardiography (PCG) is the digital way of representing heart sound where it possesses many characteristics that can point to the cardiac disease the person suffering from. An initial step to analyze heart sounds is to determine whether it is abnormal or not. One of the efficient way is to analyz...

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Bibliographic Details
Main Author: Cheong, Pei San
Other Authors: Soh Cheong Boon
Format: Final Year Project (FYP)
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/70747
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author Cheong, Pei San
author2 Soh Cheong Boon
author_facet Soh Cheong Boon
Cheong, Pei San
author_sort Cheong, Pei San
collection NTU
description Phonocardiography (PCG) is the digital way of representing heart sound where it possesses many characteristics that can point to the cardiac disease the person suffering from. An initial step to analyze heart sounds is to determine whether it is abnormal or not. One of the efficient way is to analyze them using complexity of the signal by estimating and exploring for characteristics of the disease. The project involves detecting cardiac abnormality in a PCG using complexity analysis via MATLAB software to define appropriate complexities parameters for extraction, and classification of the heart sounds. This paper presents the study of the analysis with detailed description of the classification procedures. The simulation results achieved over the span of 2 semesters had met the intended outcome which highlighted the feasibility and validity of the developed measures.
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spelling ntu-10356/707472023-07-07T16:28:10Z Complexity analysis of heart sounds Cheong, Pei San Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Phonocardiography (PCG) is the digital way of representing heart sound where it possesses many characteristics that can point to the cardiac disease the person suffering from. An initial step to analyze heart sounds is to determine whether it is abnormal or not. One of the efficient way is to analyze them using complexity of the signal by estimating and exploring for characteristics of the disease. The project involves detecting cardiac abnormality in a PCG using complexity analysis via MATLAB software to define appropriate complexities parameters for extraction, and classification of the heart sounds. This paper presents the study of the analysis with detailed description of the classification procedures. The simulation results achieved over the span of 2 semesters had met the intended outcome which highlighted the feasibility and validity of the developed measures. Bachelor of Engineering 2017-05-09T09:01:31Z 2017-05-09T09:01:31Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70747 en Nanyang Technological University 53 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Cheong, Pei San
Complexity analysis of heart sounds
title Complexity analysis of heart sounds
title_full Complexity analysis of heart sounds
title_fullStr Complexity analysis of heart sounds
title_full_unstemmed Complexity analysis of heart sounds
title_short Complexity analysis of heart sounds
title_sort complexity analysis of heart sounds
topic DRNTU::Engineering::Electrical and electronic engineering
url http://hdl.handle.net/10356/70747
work_keys_str_mv AT cheongpeisan complexityanalysisofheartsounds