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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Format: | Final Year Project (FYP) |
Language: | English |
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2017
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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. |
first_indexed | 2024-10-01T05:07:15Z |
format | Final Year Project (FYP) |
id | ntu-10356/70747 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:07:15Z |
publishDate | 2017 |
record_format | dspace |
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 |