Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer
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 p...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sakarya University
2022-04-01
|
| Series: | Sakarya University Journal of Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/2084347 |
| _version_ | 1797351810478899200 |
|---|---|
| author | Ceren Kaya Ziynet Pamuk |
| author_facet | Ceren Kaya Ziynet Pamuk |
| author_sort | Ceren Kaya |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T13:05:52Z |
| format | Article |
| id | doaj.art-16292fdcb5d34fd085cacf8e7a4ee145 |
| institution | Directory Open Access Journal |
| issn | 2636-8129 |
| language | English |
| last_indexed | 2024-03-08T13:05:52Z |
| publishDate | 2022-04-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya University Journal of Computer and Information Sciences |
| spelling | doaj.art-16292fdcb5d34fd085cacf8e7a4ee1452024-01-18T16:44:36ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292022-04-015110412010.35377/saucis...102441428Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi MicrocomputerCeren Kaya0Ziynet Pamuk1ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİPhotoplethysmography (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.https://dergipark.org.tr/tr/download/article-file/2084347photoplethysmographyheart rate variabilitytime domain parametersraspberry pi |
| spellingShingle | Ceren Kaya Ziynet Pamuk Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer Sakarya University Journal of Computer and Information Sciences photoplethysmography heart rate variability time domain parameters raspberry pi |
| title | Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer |
| title_full | Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer |
| title_fullStr | Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer |
| title_full_unstemmed | Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer |
| title_short | Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer |
| title_sort | detection of heart rate variability from photoplethysmography ppg signals obtained by raspberry pi microcomputer |
| topic | photoplethysmography heart rate variability time domain parameters raspberry pi |
| url | https://dergipark.org.tr/tr/download/article-file/2084347 |
| work_keys_str_mv | AT cerenkaya detectionofheartratevariabilityfromphotoplethysmographyppgsignalsobtainedbyraspberrypimicrocomputer AT ziynetpamuk detectionofheartratevariabilityfromphotoplethysmographyppgsignalsobtainedbyraspberrypimicrocomputer |