Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/45818
Title: | Relating pulse oximeter data to physiologically meaningful features | Authors: | Nur Azreen Abdul Ghani. | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics | Issue Date: | 2011 | Abstract: | 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. | URI: | http://hdl.handle.net/10356/45818 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
eA3153-101.pdf.pdf Restricted Access | 2.87 MB | Adobe PDF | View/Open |
Page view(s) 50
435
Updated on Sep 23, 2023
Download(s) 50
20
Updated on Sep 23, 2023
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.