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Real Time PPG Data Acquisition with GUI based Application for HRV Measurement


  • Department of Electrical and Computer Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, Malaysia


This paper presents a study of Photoplethysmography (PPG) for Heart Rate Variability (HRV) measurement. PPG is a non-invasive device which is used to measure the blood volume changes in the veins. Using optical based method, the PPG signal gives such reliable information regarding to the person’s body condition. One of the information that could be extracted from PPG signals is the measurement of HRV. In this research, PPG data acquisition is done in real time where it is directly processed using Graphical User Interface (GUI) based application. The main purpose of this research is to design a prototype for acquiring real time PPG signal for HRV measurement. Raw PPG data is extracted from HRM2511e and filtered using Easy Pulse circuit. Then, a software prototype is built for feature extraction and classification. The result is based on 6 different subjects. Each subject will provide PPG signal and HRV measurement in two different physical conditions which are sitting and standing.


Data Acquisition, Easy Pulse, GUI, Heart Rate Variability, PPG.

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  • 2014 California Biomedical Industry Report. California Healthcare Institute; 2014.
  • Marcinkevics Z, Kusnere S, Aivars JI, Rubins U, Zehtabi AH. The shape and dimensions of photoplethysmographic pulse waves: A measurement repeatability study. 2009; 753:99–106.
  • Joseph G, Joseph A, Titus G, Thomas RM, Jose D. Photoplethysmogram (PPG) signal analysis and wavelet de-noising. 2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD); 2014 Jul 24-26. p. 1–5.
  • Guidelines heart rate variability. European Heart Journal. 1996; 17:354–81.
  • Shafique M, Kyriacou PA, Pal SK. Investigation of photoplethysmographic signals and blood oxygen saturation values on healthy volunteers during cuff-induced hypoperfusion using a multimode PPG/SpO2 sensor. Medical and Biological Engineering and Computing. 2012; 50:575–83.
  • Matsumura K, Rolfe P, Yamakoshi T. iPhysioMeter: A smartphone photoplethysmograph for measuring various physiological indices. Methods Molecular Biology; 2015. p. 305–26.
  • Lin YH, Lin CF, You HZ. A driver’s physiological monitoring system based on a wearable ppg sensor and a smartphone. Security Enriched Urban Computing and Smart Grid. 2011; 223:326–35.
  • Lee CK, Shin HS, Min SD, Yun YH. A study on comparison PPG variability with heart rate variability in the sitting position during paced respiration. World Congress on Medical Physics and Biomedical Engineering. 2010; 25(4):1703–5.
  • Bhoi AK, Sherpa KS, Tamang JS, Phurailatpam D, Gupta AK. Real time acquisition and analysis of PCG and PPG signal. 2015 International Conference on Communications and Signal Processing (ICCSP); 2015. p. 190–5.
  • Embedded lab, easy pulse sensor; 2013. Available from:


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