Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities
Photoplethysmography (PPG) signals have been widely used in evaluating cardiovascular biomarkers, however, there is a lack of in-depth understanding of the remote usage of this technology and its viability for underdeveloped countries. This study aims to quantitatively evaluate the performance of a...
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| Format: | Article |
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MDPI AG
2023-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/9/4246 |
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| author | Felipe Pineda-Alpizar Sergio Arriola-Valverde Mitzy Vado-Chacón Diego Sossa-Rojas Haipeng Liu Dingchang Zheng |
| author_facet | Felipe Pineda-Alpizar Sergio Arriola-Valverde Mitzy Vado-Chacón Diego Sossa-Rojas Haipeng Liu Dingchang Zheng |
| author_sort | Felipe Pineda-Alpizar |
| collection | DOAJ |
| description | Photoplethysmography (PPG) signals have been widely used in evaluating cardiovascular biomarkers, however, there is a lack of in-depth understanding of the remote usage of this technology and its viability for underdeveloped countries. This study aims to quantitatively evaluate the performance of a low-cost wireless PPG device in detecting ultra-short-term time-domain pulse rate variability (PRV) parameters in different postures and breathing patterns. A total of 30 healthy subjects were recruited. ECG and PPG signals were simultaneously recorded in 3 min using miniaturized wearable sensors. Four heart rate variability (HRV) and PRV parameters were extracted from ECG and PPG signals, respectively, and compared using analysis of variance (ANOVA) or Scheirer–Ray–Hare test with post hoc analysis. In addition, the data loss was calculated as the percentage of missing sampling points. Posture did not present statistical differences across the PRV parameters but a statistical difference between indicators was found. Strong variation was found for the RMSSD indicator in the standing posture. The sitting position in both breathing patterns demonstrated the lowest data loss (1.0 ± 0.6 and 1.0 ± 0.7) and the lowest percentage of different factors for all indicators. The usage of commercial PPG and BLE devices can allow the reliable extraction of the PPG signal and PRV indicators in real time. |
| first_indexed | 2024-03-11T04:06:51Z |
| format | Article |
| id | doaj.art-718a162a5de14b128640b1badd2dfe82 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:06:51Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-718a162a5de14b128640b1badd2dfe822023-11-17T23:41:43ZengMDPI AGSensors1424-82202023-04-01239424610.3390/s23094246Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource CommunitiesFelipe Pineda-Alpizar0Sergio Arriola-Valverde1Mitzy Vado-Chacón2Diego Sossa-Rojas3Haipeng Liu4Dingchang Zheng5Industrial Design Engineering Department, Costa Rica Institute of Technology, Cartago 7050, Costa RicaElectronics Engineering Department, Costa Rica Institute of Technology, Cartago 7050, Costa RicaRespiratory Therapy Department, Santa Paula University, San Jose 2633, Costa RicaRespiratory Therapy Department, Santa Paula University, San Jose 2633, Costa RicaCenter of Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UKCenter of Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UKPhotoplethysmography (PPG) signals have been widely used in evaluating cardiovascular biomarkers, however, there is a lack of in-depth understanding of the remote usage of this technology and its viability for underdeveloped countries. This study aims to quantitatively evaluate the performance of a low-cost wireless PPG device in detecting ultra-short-term time-domain pulse rate variability (PRV) parameters in different postures and breathing patterns. A total of 30 healthy subjects were recruited. ECG and PPG signals were simultaneously recorded in 3 min using miniaturized wearable sensors. Four heart rate variability (HRV) and PRV parameters were extracted from ECG and PPG signals, respectively, and compared using analysis of variance (ANOVA) or Scheirer–Ray–Hare test with post hoc analysis. In addition, the data loss was calculated as the percentage of missing sampling points. Posture did not present statistical differences across the PRV parameters but a statistical difference between indicators was found. Strong variation was found for the RMSSD indicator in the standing posture. The sitting position in both breathing patterns demonstrated the lowest data loss (1.0 ± 0.6 and 1.0 ± 0.7) and the lowest percentage of different factors for all indicators. The usage of commercial PPG and BLE devices can allow the reliable extraction of the PPG signal and PRV indicators in real time.https://www.mdpi.com/1424-8220/23/9/4246pulse rate variability (PRV)heart rate variability (HRV)photoplethysmography (PPG)embedded systemsBluetooth low energy (BLE)remote healthcare |
| spellingShingle | Felipe Pineda-Alpizar Sergio Arriola-Valverde Mitzy Vado-Chacón Diego Sossa-Rojas Haipeng Liu Dingchang Zheng Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities Sensors pulse rate variability (PRV) heart rate variability (HRV) photoplethysmography (PPG) embedded systems Bluetooth low energy (BLE) remote healthcare |
| title | Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities |
| title_full | Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities |
| title_fullStr | Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities |
| title_full_unstemmed | Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities |
| title_short | Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities |
| title_sort | real time evaluation of time domain pulse rate variability parameters in different postures and breathing patterns using wireless photoplethysmography sensor towards remote healthcare in low resource communities |
| topic | pulse rate variability (PRV) heart rate variability (HRV) photoplethysmography (PPG) embedded systems Bluetooth low energy (BLE) remote healthcare |
| url | https://www.mdpi.com/1424-8220/23/9/4246 |
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