Power spectrum density based analysis of photoplethymographic signal for different physiological conditions

This paper investigates to represent and analyze the Photolythsmographic (PPG) signal on the basis of the Power Spectral Density (PSD) as parameter for the varying physiological conditions. An infra-red optical-sensing device is placed on the finger tip used to sense the blood variation measurement...

Full description

Bibliographic Details
Main Authors:	Shah, Mansoor Hussain, Kazmi, Syed Absar, Sidek, Khairul Azami, Khan, Sheroz, Iqbal, Fatema-tuz-Zohra
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2014
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/41646/ http://irep.iium.edu.my/41646/ http://irep.iium.edu.my/41646/1/41646.pdf http://irep.iium.edu.my/41646/4/41646_Power%20spectrum%20density_scopus.pdf

id	iium-41646
recordtype	eprints
spelling	iium-416462017-09-18T08:54:19Z http://irep.iium.edu.my/41646/ Power spectrum density based analysis of photoplethymographic signal for different physiological conditions Shah, Mansoor Hussain Kazmi, Syed Absar Sidek, Khairul Azami Khan, Sheroz Iqbal, Fatema-tuz-Zohra TK7885 Computer engineering This paper investigates to represent and analyze the Photolythsmographic (PPG) signal on the basis of the Power Spectral Density (PSD) as parameter for the varying physiological conditions. An infra-red optical-sensing device is placed on the finger tip used to sense the blood variation measurement and generates the PPG signal at its output. Easy Pulse Sensor module is used to condition this signal by passing it through a series of Low pass, High pass filters and Op-Amps to produce the final PPG signal. The programs are developed for Arduino processing board which is used as a bridging device between Easy Pulse Sensing module and PC. The so obtained PPG signal waveforms and data are then analyzed by using Kubios HRV software. The PPG samples under the four volunteers are collected in four different physiological conditions, that is, sitting, standing, laying, jogging and then these data items are analyzed for the PSD representation under each condition. The results are clear PSD representation of each physiological condition. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/41646/1/41646.pdf application/pdf en http://irep.iium.edu.my/41646/4/41646_Power%20spectrum%20density_scopus.pdf Shah, Mansoor Hussain and Kazmi, Syed Absar and Sidek, Khairul Azami and Khan, Sheroz and Iqbal, Fatema-tuz-Zohra (2014) Power spectrum density based analysis of photoplethymographic signal for different physiological conditions. In: 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2014), 25 November 2014, Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7047435&filter%3DAND%28p_IS_Number%3A7047414%29
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Shah, Mansoor Hussain Kazmi, Syed Absar Sidek, Khairul Azami Khan, Sheroz Iqbal, Fatema-tuz-Zohra Power spectrum density based analysis of photoplethymographic signal for different physiological conditions
description	This paper investigates to represent and analyze the Photolythsmographic (PPG) signal on the basis of the Power Spectral Density (PSD) as parameter for the varying physiological conditions. An infra-red optical-sensing device is placed on the finger tip used to sense the blood variation measurement and generates the PPG signal at its output. Easy Pulse Sensor module is used to condition this signal by passing it through a series of Low pass, High pass filters and Op-Amps to produce the final PPG signal. The programs are developed for Arduino processing board which is used as a bridging device between Easy Pulse Sensing module and PC. The so obtained PPG signal waveforms and data are then analyzed by using Kubios HRV software. The PPG samples under the four volunteers are collected in four different physiological conditions, that is, sitting, standing, laying, jogging and then these data items are analyzed for the PSD representation under each condition. The results are clear PSD representation of each physiological condition.
format	Conference or Workshop Item
author	Shah, Mansoor Hussain Kazmi, Syed Absar Sidek, Khairul Azami Khan, Sheroz Iqbal, Fatema-tuz-Zohra
author_facet	Shah, Mansoor Hussain Kazmi, Syed Absar Sidek, Khairul Azami Khan, Sheroz Iqbal, Fatema-tuz-Zohra
author_sort	Shah, Mansoor Hussain
title	Power spectrum density based analysis of photoplethymographic signal for different physiological conditions
title_short	Power spectrum density based analysis of photoplethymographic signal for different physiological conditions
title_full	Power spectrum density based analysis of photoplethymographic signal for different physiological conditions
title_fullStr	Power spectrum density based analysis of photoplethymographic signal for different physiological conditions
title_full_unstemmed	Power spectrum density based analysis of photoplethymographic signal for different physiological conditions
title_sort	power spectrum density based analysis of photoplethymographic signal for different physiological conditions
publisher	IEEE
publishDate	2014
url	http://irep.iium.edu.my/41646/ http://irep.iium.edu.my/41646/ http://irep.iium.edu.my/41646/1/41646.pdf http://irep.iium.edu.my/41646/4/41646_Power%20spectrum%20density_scopus.pdf
first_indexed	2023-09-18T20:59:34Z
last_indexed	2023-09-18T20:59:34Z
_version_	1777410532675944448

Power spectrum density based analysis of photoplethymographic signal for different physiological conditions

Similar Items