Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions

This paper investigates the respiratory rate (RR) for different physiological conditions by implicating photoplethysmographic (PPG) signal. In this paper, we have examined four physiological conditions for instance sitting, standing, laying and jogging. Ten healthy volunteers were recruited and segr...

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Main Authors:	Kazmi, Syed Absar, Shah, Mansoor Hussain, Khan, Sheroz, Khalifa, Othman Omran
Format:	Conference or Workshop Item
Language:	English English
Published:	2015
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/46034/ http://irep.iium.edu.my/46034/ http://irep.iium.edu.my/46034/1/46034.pdf http://irep.iium.edu.my/46034/4/46034_respirotory%20rate_scopus.pdf

id	iium-46034
recordtype	eprints
spelling	iium-460342017-11-14T07:11:36Z http://irep.iium.edu.my/46034/ Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions Kazmi, Syed Absar Shah, Mansoor Hussain Khan, Sheroz Khalifa, Othman Omran T Technology (General) This paper investigates the respiratory rate (RR) for different physiological conditions by implicating photoplethysmographic (PPG) signal. In this paper, we have examined four physiological conditions for instance sitting, standing, laying and jogging. Ten healthy volunteers were recruited and segregated by five males and females each group. The acquisition of PPG signal was done by Easy Pulse analyzer sensor module for one minute sample for each condition considering consolidated state prior to sample extraction, which uses pulse oximetry principle and pass the sensed signal by the optical sensor through a sequential high and low pass filters which latterly produces a conditioned PPG signal at its output. The Arduino processing module was used as an interfacing module between easy pulse analyzer and computing machine. The Kubios HRV tool was implicated for execution and manipulation of the PPG data into a required format. The time and frequency domain parameters were analyzed for PPG signal in different physiological conditions. Ultimately, the reports were created depending upon the analysis. The results defines that the PPG signal as well as RR varies depending upon the physiological conditions. It was also keenly observed that the low and high frequencies which is ingredient of PPG signal also vary accordingly to physiological condition. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/46034/1/46034.pdf application/pdf en http://irep.iium.edu.my/46034/4/46034_respirotory%20rate_scopus.pdf Kazmi, Syed Absar and Shah, Mansoor Hussain and Khan, Sheroz and Khalifa, Othman Omran (2015) Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions. In: 2015 International Conference on Smart Sensors and Application (ICSSA), 26-28 May 2015, Kuala Lumpur. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7322531&punumber%3D7309522%26filter%3DAND%28p_IS_Number%3A7322487%29%26pageNumber%3D2
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Kazmi, Syed Absar Shah, Mansoor Hussain Khan, Sheroz Khalifa, Othman Omran Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions
description	This paper investigates the respiratory rate (RR) for different physiological conditions by implicating photoplethysmographic (PPG) signal. In this paper, we have examined four physiological conditions for instance sitting, standing, laying and jogging. Ten healthy volunteers were recruited and segregated by five males and females each group. The acquisition of PPG signal was done by Easy Pulse analyzer sensor module for one minute sample for each condition considering consolidated state prior to sample extraction, which uses pulse oximetry principle and pass the sensed signal by the optical sensor through a sequential high and low pass filters which latterly produces a conditioned PPG signal at its output. The Arduino processing module was used as an interfacing module between easy pulse analyzer and computing machine. The Kubios HRV tool was implicated for execution and manipulation of the PPG data into a required format. The time and frequency domain parameters were analyzed for PPG signal in different physiological conditions. Ultimately, the reports were created depending upon the analysis. The results defines that the PPG signal as well as RR varies depending upon the physiological conditions. It was also keenly observed that the low and high frequencies which is ingredient of PPG signal also vary accordingly to physiological condition.
format	Conference or Workshop Item
author	Kazmi, Syed Absar Shah, Mansoor Hussain Khan, Sheroz Khalifa, Othman Omran
author_facet	Kazmi, Syed Absar Shah, Mansoor Hussain Khan, Sheroz Khalifa, Othman Omran
author_sort	Kazmi, Syed Absar
title	Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions
title_short	Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions
title_full	Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions
title_fullStr	Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions
title_full_unstemmed	Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions
title_sort	respiratory rate (rr) based analysis of ppg signal for different physiological conditions
publishDate	2015
url	http://irep.iium.edu.my/46034/ http://irep.iium.edu.my/46034/ http://irep.iium.edu.my/46034/1/46034.pdf http://irep.iium.edu.my/46034/4/46034_respirotory%20rate_scopus.pdf
first_indexed	2018-09-07T06:39:39Z
last_indexed	2018-09-07T06:39:39Z
_version_	1610929804099452928

Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions

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