Relating pulse oximeter data to physiologically meaningful features

This report provides the analysis of bio-medical signals related to cardiac activity and respiratory activity in time domain where pulse oximeter and electronic stethoscope are used. A pulse oximeter is a medical device that measures both individual’s pulse rate as well as SpO2, which is know...

Full description

Saved in:
Bibliographic Details
Main Author: Nur Azreen Abdul Ghani.
Other Authors: Saman S Abeysekera
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/45818
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-45818
record_format dspace
spelling sg-ntu-dr.10356-458182023-07-07T17:39:36Z Relating pulse oximeter data to physiologically meaningful features Nur Azreen Abdul Ghani. Saman S Abeysekera School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics This report provides the analysis of bio-medical signals related to cardiac activity and respiratory activity in time domain where pulse oximeter and electronic stethoscope are used. A pulse oximeter is a medical device that measures both individual’s pulse rate as well as SpO2, which is known as oxygen saturation of haemoglobin in arterial blood. It is often attached to a monitor as individual's pulse rate, respiratory rate and blood pressure can be monitored at all times. Likewise, an electronic stethoscope amplifies body sounds such as heartbeat as well as breathing sound for clear auscultation and these sounds can be converted to electrical signals. The analysis comprises of comparison of bio-medical signals powered by a power supply and an NI DAQ card on normal subject who exercises regularly as well as normal subject who does not exercise regularly at rest state and after an exercise activity. Before the analysis, collection of bio-medical signals from pulse oximeter and electronic stethoscope are looked into. MATLAB application will be used for transferring and processing methods. The collected signals will be presented in a format that makes it easy for a user to visualize and analyze them. Bachelor of Engineering 2011-06-22T02:57:36Z 2011-06-22T02:57:36Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45818 en Nanyang Technological University 59 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::Control and instrumentation::Medical electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Nur Azreen Abdul Ghani.
Relating pulse oximeter data to physiologically meaningful features
description This report provides the analysis of bio-medical signals related to cardiac activity and respiratory activity in time domain where pulse oximeter and electronic stethoscope are used. A pulse oximeter is a medical device that measures both individual’s pulse rate as well as SpO2, which is known as oxygen saturation of haemoglobin in arterial blood. It is often attached to a monitor as individual's pulse rate, respiratory rate and blood pressure can be monitored at all times. Likewise, an electronic stethoscope amplifies body sounds such as heartbeat as well as breathing sound for clear auscultation and these sounds can be converted to electrical signals. The analysis comprises of comparison of bio-medical signals powered by a power supply and an NI DAQ card on normal subject who exercises regularly as well as normal subject who does not exercise regularly at rest state and after an exercise activity. Before the analysis, collection of bio-medical signals from pulse oximeter and electronic stethoscope are looked into. MATLAB application will be used for transferring and processing methods. The collected signals will be presented in a format that makes it easy for a user to visualize and analyze them.
author2 Saman S Abeysekera
author_facet Saman S Abeysekera
Nur Azreen Abdul Ghani.
format Final Year Project
author Nur Azreen Abdul Ghani.
author_sort Nur Azreen Abdul Ghani.
title Relating pulse oximeter data to physiologically meaningful features
title_short Relating pulse oximeter data to physiologically meaningful features
title_full Relating pulse oximeter data to physiologically meaningful features
title_fullStr Relating pulse oximeter data to physiologically meaningful features
title_full_unstemmed Relating pulse oximeter data to physiologically meaningful features
title_sort relating pulse oximeter data to physiologically meaningful features
publishDate 2011
url http://hdl.handle.net/10356/45818
_version_ 1772827370589257728