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Non Invasive Measurement and Analysis of Cardiac Output for Different Age Group using PPG Sensor

Published on April 2016 by Nivedita Daimiwal, M. Sundhararajan
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National Conference on Electronics and Computer Engineering
Foundation of Computer Science USA
NCECE2016 - Number 1
April 2016
Authors: Nivedita Daimiwal, M. Sundhararajan
8894d8f2-64f0-4eec-8450-57aa87a8694c

Nivedita Daimiwal, M. Sundhararajan . Non Invasive Measurement and Analysis of Cardiac Output for Different Age Group using PPG Sensor. National Conference on Electronics and Computer Engineering. NCECE2016, 1 (April 2016), 25-28.

@article{
author = { Nivedita Daimiwal, M. Sundhararajan },
title = { Non Invasive Measurement and Analysis of Cardiac Output for Different Age Group using PPG Sensor },
journal = { National Conference on Electronics and Computer Engineering },
issue_date = { April 2016 },
volume = { NCECE2016 },
number = { 1 },
month = { April },
year = { 2016 },
issn = 0975-8887,
pages = { 25-28 },
numpages = 4,
url = { /proceedings/ncece2016/number1/24663-9518/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Electronics and Computer Engineering
%A Nivedita Daimiwal
%A M. Sundhararajan
%T Non Invasive Measurement and Analysis of Cardiac Output for Different Age Group using PPG Sensor
%J National Conference on Electronics and Computer Engineering
%@ 0975-8887
%V NCECE2016
%N 1
%P 25-28
%D 2016
%I International Journal of Computer Applications
Abstract

This study provides analysis of reflectance type PPG (Photoplethysmography) sensor using mean square spectrum. Power spectrum shows that absorption of deoxyhaemoglobin and oxyhaemoglobin is maximum for 660nm and 860nm respectively. The reflectance type PPG sensor was designed for two sources of wavelength are 660nm and 860nm and OPT 101 as a detector. Data collection was done for 10 specimen including female and male in the age group of 20 to 45 years. MSS (Mean square spectrum) reflects the power in the signal at a given frequency. The MSS of a signal is the Fourier transform of that signal's autocorrelation. The acquisition of PPG signal was done using microcontroller with 10 bit ADC and was processed in Matlab. The analysis of PPG for 660nm and 860 nm shows that the mean of power for 860nm was greater than mean of power for 660nm (p < 0. 05) using t square test in Minitab 17. Oxyhaemoglobin and deoxyhaemoglobin concentration change can be detected by measuring the mean square spectrum for 660nm and 860nm respectively.

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Index Terms

Computer Science
Information Sciences

Keywords

Cardiac Output (co) Blood Flow Stroke Volume Heart Rate Photoplethysmography.