Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer

Ziynet Pamuk; Ceren Kaya

doi:10.35377/saucis...1024414

EN

Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer

Abstract

Photoplethysmography (PPG) signals are signals obtained as a result of optically measuring volumetric changes in capillaries. Volumetric changes in capillaries also depend on the work of heart. According to recent researches, it has been seen that PPG signals contain a lot of information about the physiological and biological state of related person. Most of these studies are based on the analysis of characteristics and waveforms of PPG signals obtained with a single wavelength in time and frequency domains. In this study, 10 minutes of data was taken from the left index finger of a 24-year-old male, which was positioned horizontally using a MAX30100 sensor and Raspberry Pi 4 microprocessor kit. Experiments are carried out in the fully resting state of a male volunteer in outdoors and stressful environments. While the MAX30100 sensor shows the heartbeat on the screen, it also gives PPG signal data, which is a single wavelength, into a .csv file as received data. In these cases, five different time domain parameters of received PPG signals are extracted. When the results are interpreted, it is seen that all results are meaningful and consistent.

Keywords

Supporting Institution

ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ

Project Number

2020-39971044-02

Thanks

This research has been supported by Scientific Research Projects Commission of Zonguldak Bulent Ecevit University, Turkey, under Project Number: 2020-39971044-02. We would also like to thank Abdelgader Obeida, Dilan Pişkin and İhsan Acuz for valuable contribution to the study.

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Details

Primary Language

English

Subjects

Electrical Engineering

Journal Section

Research Article

Authors

Ziynet Pamuk ^*
0000-0003-3792-2183
Türkiye

Ceren Kaya
0000-0002-1970-2833
Türkiye

Publication Date

April 30, 2022

Submission Date

November 16, 2021

Acceptance Date

April 26, 2022

Published in Issue

Year 1970 Volume: 5 Number: 1

DOI

https://doi.org/10.35377/saucis...1024414

IZ

https://izlik.org/JA62DE53NM

Cite

RIS / Bibtex

APA

Pamuk, Z., & Kaya, C. (2022). Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer. Sakarya University Journal of Computer and Information Sciences, 5(1), 104-120. https://doi.org/10.35377/saucis...1024414

AMA

1.Pamuk Z, Kaya C. Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer. SAUCIS. 2022;5(1):104-120. doi:10.35377/saucis.1024414

Chicago

Pamuk, Ziynet, and Ceren Kaya. 2022. “Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer”. Sakarya University Journal of Computer and Information Sciences 5 (1): 104-20. https://doi.org/10.35377/saucis. 1024414.

EndNote

Pamuk Z, Kaya C (April 1, 2022) Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer. Sakarya University Journal of Computer and Information Sciences 5 1 104–120.

IEEE

[1]Z. Pamuk and C. Kaya, “Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer”, SAUCIS, vol. 5, no. 1, pp. 104–120, Apr. 2022, doi: 10.35377/saucis...1024414.

ISNAD

Pamuk, Ziynet - Kaya, Ceren. “Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer”. Sakarya University Journal of Computer and Information Sciences 5/1 (April 1, 2022): 104-120. https://doi.org/10.35377/saucis. 1024414.

JAMA

1.Pamuk Z, Kaya C. Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer. SAUCIS. 2022;5:104–120.

MLA

Pamuk, Ziynet, and Ceren Kaya. “Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer”. Sakarya University Journal of Computer and Information Sciences, vol. 5, no. 1, Apr. 2022, pp. 104-20, doi:10.35377/saucis. 1024414.

Vancouver

1.Ziynet Pamuk, Ceren Kaya. Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer. SAUCIS. 2022 Apr. 1;5(1):104-20. doi:10.35377/saucis. 1024414

Öz

Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer

Abstract

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