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

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.

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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.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 3930/46034 (ISBN: 978-1-4799-7364-4, DOI: 10.1109/ICSSA.2015.7322531)
Uncontrolled Keywords: PPG; RR; Respiratory Rate; optical sensor; Kubios HRV; pulse oximetry; physiological conditions
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr Othman O. Khalifa
Date Deposited: 15 Dec 2015 10:55
Last Modified: 14 Nov 2017 15:11
URI: http://irep.iium.edu.my/id/eprint/46034

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