Multimodal Assessment of the Pulse Rate Variability Analysis Module of a Photoplethysmography-Based Telemedicine System
Alterations of heart rate variability (HRV) are associated with various (patho)physiological conditions; therefore, HRV analysis has the potential to become a useful diagnostic module of wearable/telemedical devices to support remote cardiovascular/autonomic monitoring. Continuous pulse recordings o...
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MDPI AG
2021-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/16/5544 |
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| author | Flóra Antali Dániel Kulin Konrád István Lucz Balázs Szabó László Szűcs Sándor Kulin Zsuzsanna Miklós |
| author_facet | Flóra Antali Dániel Kulin Konrád István Lucz Balázs Szabó László Szűcs Sándor Kulin Zsuzsanna Miklós |
| author_sort | Flóra Antali |
| collection | DOAJ |
| description | Alterations of heart rate variability (HRV) are associated with various (patho)physiological conditions; therefore, HRV analysis has the potential to become a useful diagnostic module of wearable/telemedical devices to support remote cardiovascular/autonomic monitoring. Continuous pulse recordings obtained by photoplethysmography (PPG) can yield pulse rate variability (PRV) indices similar to HRV parameters; however, it is debated whether PRV/HRV parameters are interchangeable. In this study, we assessed the PRV analysis module of a digital arterial PPG-based telemedical system (SCN4ALL). We used Bland–Altman analysis to validate the SCN4ALL PRV algorithm to Kubios Premium software and to determine the agreements between PRV/HRV results calculated from 2-min long PPG and ECG captures recorded simultaneously in healthy individuals (n = 33) at rest and during the cold pressor test, and in diabetic patients (n = 12) at rest. We found an ideal agreement between SCN4ALL and Kubios outputs (bias < 2%). PRV and HRV parameters showed good agreements for interbeat intervals, SDNN, and RMSSD time-domain variables, for total spectral and low-frequency power (LF) frequency-domain variables, and for non-linear parameters in healthy subjects at rest and during cold pressor challenge. In diabetics, good agreements were observed for SDNN, LF, and SD2; and moderate agreement was observed for total power. In conclusion, the SCN4ALL PRV analysis module is a good alternative for HRV analysis for numerous conventional HRV parameters. |
| first_indexed | 2024-03-10T08:24:35Z |
| format | Article |
| id | doaj.art-9c32444d85904c20a33dbe911e1b080c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T08:24:35Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9c32444d85904c20a33dbe911e1b080c2023-11-22T09:41:36ZengMDPI AGSensors1424-82202021-08-012116554410.3390/s21165544Multimodal Assessment of the Pulse Rate Variability Analysis Module of a Photoplethysmography-Based Telemedicine SystemFlóra Antali0Dániel Kulin1Konrád István Lucz2Balázs Szabó3László Szűcs4Sándor Kulin5Zsuzsanna Miklós6Institute of Translational Medicine, Semmelweis University, 1094 Budapest, HungaryInstitute of Translational Medicine, Semmelweis University, 1094 Budapest, HungaryE-Med4All Europe Ltd., 1036 Budapest, HungaryE-Med4All Europe Ltd., 1036 Budapest, HungaryE-Med4All Europe Ltd., 1036 Budapest, HungaryE-Med4All Europe Ltd., 1036 Budapest, HungaryInstitute of Translational Medicine, Semmelweis University, 1094 Budapest, HungaryAlterations of heart rate variability (HRV) are associated with various (patho)physiological conditions; therefore, HRV analysis has the potential to become a useful diagnostic module of wearable/telemedical devices to support remote cardiovascular/autonomic monitoring. Continuous pulse recordings obtained by photoplethysmography (PPG) can yield pulse rate variability (PRV) indices similar to HRV parameters; however, it is debated whether PRV/HRV parameters are interchangeable. In this study, we assessed the PRV analysis module of a digital arterial PPG-based telemedical system (SCN4ALL). We used Bland–Altman analysis to validate the SCN4ALL PRV algorithm to Kubios Premium software and to determine the agreements between PRV/HRV results calculated from 2-min long PPG and ECG captures recorded simultaneously in healthy individuals (n = 33) at rest and during the cold pressor test, and in diabetic patients (n = 12) at rest. We found an ideal agreement between SCN4ALL and Kubios outputs (bias < 2%). PRV and HRV parameters showed good agreements for interbeat intervals, SDNN, and RMSSD time-domain variables, for total spectral and low-frequency power (LF) frequency-domain variables, and for non-linear parameters in healthy subjects at rest and during cold pressor challenge. In diabetics, good agreements were observed for SDNN, LF, and SD2; and moderate agreement was observed for total power. In conclusion, the SCN4ALL PRV analysis module is a good alternative for HRV analysis for numerous conventional HRV parameters.https://www.mdpi.com/1424-8220/21/16/5544pulse rate variabilitypulse wave analysisphotoplethysmographytelemedicine |
| spellingShingle | Flóra Antali Dániel Kulin Konrád István Lucz Balázs Szabó László Szűcs Sándor Kulin Zsuzsanna Miklós Multimodal Assessment of the Pulse Rate Variability Analysis Module of a Photoplethysmography-Based Telemedicine System Sensors pulse rate variability pulse wave analysis photoplethysmography telemedicine |
| title | Multimodal Assessment of the Pulse Rate Variability Analysis Module of a Photoplethysmography-Based Telemedicine System |
| title_full | Multimodal Assessment of the Pulse Rate Variability Analysis Module of a Photoplethysmography-Based Telemedicine System |
| title_fullStr | Multimodal Assessment of the Pulse Rate Variability Analysis Module of a Photoplethysmography-Based Telemedicine System |
| title_full_unstemmed | Multimodal Assessment of the Pulse Rate Variability Analysis Module of a Photoplethysmography-Based Telemedicine System |
| title_short | Multimodal Assessment of the Pulse Rate Variability Analysis Module of a Photoplethysmography-Based Telemedicine System |
| title_sort | multimodal assessment of the pulse rate variability analysis module of a photoplethysmography based telemedicine system |
| topic | pulse rate variability pulse wave analysis photoplethysmography telemedicine |
| url | https://www.mdpi.com/1424-8220/21/16/5544 |
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