Noise cancellation algorithm for respiratory sound analysis
Respiratory diseases such as pneumonia have been one of the top principal causes of death in Singapore from 2015 to 2017. With more people visiting the doctors in hospitals for health check-ups, it has become important for the doctor examining the patient to be able to distinguish between the ba...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/77780 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-77780 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-777802023-07-07T17:17:16Z Noise cancellation algorithm for respiratory sound analysis Low, Yee Jin Ser Wee School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Respiratory diseases such as pneumonia have been one of the top principal causes of death in Singapore from 2015 to 2017. With more people visiting the doctors in hospitals for health check-ups, it has become important for the doctor examining the patient to be able to distinguish between the background noise and the lung sound. Lung breathing sounds are an important part of the respiratory examination and is helpful in diagnosing various respiratory disorders. Lung respiratory sounds assess airflow through the trachea-bronchial tree. It is important to distinguish such sounds from abnormal ones like crackles and wheezes in order to make an accurate diagnosis; especially when there is background noise, it will make this task of doing so much tougher. In this project, the student will be focusing on the developing of a MATLAB algorithm to be able to help doctors distinguish between lung respiratory sounds and abnormal sounds by removing as much background noise as possible through the algorithm. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-06T05:59:00Z 2019-06-06T05:59:00Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77780 en Nanyang Technological University 49 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Low, Yee Jin Noise cancellation algorithm for respiratory sound analysis |
description |
Respiratory diseases such as pneumonia have been one of the top principal causes of death in Singapore from 2015 to 2017.
With more people visiting the doctors in hospitals for health check-ups, it has become important for the doctor examining the patient to be able to distinguish between the background noise and the lung sound.
Lung breathing sounds are an important part of the respiratory examination and is helpful in diagnosing various respiratory disorders. Lung respiratory sounds assess airflow through the trachea-bronchial tree. It is important to distinguish such sounds from abnormal ones like crackles and wheezes in order to make an accurate diagnosis; especially when there is background noise, it will make this task of doing so much tougher.
In this project, the student will be focusing on the developing of a MATLAB algorithm to be able to help doctors distinguish between lung respiratory sounds and abnormal sounds by removing as much background noise as possible through the algorithm. |
author2 |
Ser Wee |
author_facet |
Ser Wee Low, Yee Jin |
format |
Final Year Project |
author |
Low, Yee Jin |
author_sort |
Low, Yee Jin |
title |
Noise cancellation algorithm for respiratory sound analysis |
title_short |
Noise cancellation algorithm for respiratory sound analysis |
title_full |
Noise cancellation algorithm for respiratory sound analysis |
title_fullStr |
Noise cancellation algorithm for respiratory sound analysis |
title_full_unstemmed |
Noise cancellation algorithm for respiratory sound analysis |
title_sort |
noise cancellation algorithm for respiratory sound analysis |
publishDate |
2019 |
url |
http://hdl.handle.net/10356/77780 |
_version_ |
1772825237705981952 |