Blood Pressure Estimation by Photoplethysmogram Decomposition into Hyperbolic Secant Waves
Photoplethysmographic (PPG) pulses contain information about cardiovascular parameters. In particular, blood pressure can be estimated using PPG pulse decomposition analysis, which assumes that a PPG pulse is composed of the original heart ejection blood wave and its reflections in arterial branchin...
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MDPI AG
2022-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/4/1798 |
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| author | Takumi Nagasawa Kaito Iuchi Ryo Takahashi Mari Tsunomura Raquel Pantojo de Souza Keiko Ogawa-Ochiai Norimichi Tsumura George C. Cardoso |
| author_facet | Takumi Nagasawa Kaito Iuchi Ryo Takahashi Mari Tsunomura Raquel Pantojo de Souza Keiko Ogawa-Ochiai Norimichi Tsumura George C. Cardoso |
| author_sort | Takumi Nagasawa |
| collection | DOAJ |
| description | Photoplethysmographic (PPG) pulses contain information about cardiovascular parameters. In particular, blood pressure can be estimated using PPG pulse decomposition analysis, which assumes that a PPG pulse is composed of the original heart ejection blood wave and its reflections in arterial branchings. Among pulse decomposition wave functions that have been studied in the literature, Gaussian waves are the most successful ones. However, a more adequate pulse decomposition function could be found to improve blood pressure estimates. In this paper, we propose pulse decomposition analysis using hyperbolic secant (sech) waves and compare results with corresponding Gaussian wave decomposition. We analyze how the parameters of each of the two types of decomposition waves correlate with blood pressure. For this analysis, continuous blood pressure data and PPG data were acquired from ten healthy volunteers. The blood pressure of volunteers was varied by asking them to hold their breath for up to 60 s. The results suggested sech wave decomposition had higher accuracy in estimating blood pressure than the Gaussian function. Thus, sech wave decomposition should be considered as a more robust alternative to Gaussian wave pulse decomposition for blood pressure estimation models. |
| first_indexed | 2024-03-09T22:43:03Z |
| format | Article |
| id | doaj.art-e8023621820c43e4af88bb083e1c7975 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:43:03Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-e8023621820c43e4af88bb083e1c79752023-11-23T18:34:19ZengMDPI AGApplied Sciences2076-34172022-02-01124179810.3390/app12041798Blood Pressure Estimation by Photoplethysmogram Decomposition into Hyperbolic Secant WavesTakumi Nagasawa0Kaito Iuchi1Ryo Takahashi2Mari Tsunomura3Raquel Pantojo de Souza4Keiko Ogawa-Ochiai5Norimichi Tsumura6George C. Cardoso7Department of Imaging Science, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, JapanDepartment of Imaging Science, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, JapanDepartment of Imaging Science, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, JapanDepartment of Imaging Science, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, JapanPhysics Department, FFCLRP, University of São Paulo, Sao Paulo 14040-901, BrazilKampo Clinical Center, Department of General Medicine, Hiroshima University Hospital, Hiroshima 734-8551, JapanDepartment of Imaging Sciences, Graduate School of Engineering, Chiba University, Chiba 263-8522, JapanPhysics Department, FFCLRP, University of São Paulo, Sao Paulo 14040-901, BrazilPhotoplethysmographic (PPG) pulses contain information about cardiovascular parameters. In particular, blood pressure can be estimated using PPG pulse decomposition analysis, which assumes that a PPG pulse is composed of the original heart ejection blood wave and its reflections in arterial branchings. Among pulse decomposition wave functions that have been studied in the literature, Gaussian waves are the most successful ones. However, a more adequate pulse decomposition function could be found to improve blood pressure estimates. In this paper, we propose pulse decomposition analysis using hyperbolic secant (sech) waves and compare results with corresponding Gaussian wave decomposition. We analyze how the parameters of each of the two types of decomposition waves correlate with blood pressure. For this analysis, continuous blood pressure data and PPG data were acquired from ten healthy volunteers. The blood pressure of volunteers was varied by asking them to hold their breath for up to 60 s. The results suggested sech wave decomposition had higher accuracy in estimating blood pressure than the Gaussian function. Thus, sech wave decomposition should be considered as a more robust alternative to Gaussian wave pulse decomposition for blood pressure estimation models.https://www.mdpi.com/2076-3417/12/4/1798blood pressurehyperbolic secant functionphotoplethysmographypulse decomposition analysis |
| spellingShingle | Takumi Nagasawa Kaito Iuchi Ryo Takahashi Mari Tsunomura Raquel Pantojo de Souza Keiko Ogawa-Ochiai Norimichi Tsumura George C. Cardoso Blood Pressure Estimation by Photoplethysmogram Decomposition into Hyperbolic Secant Waves Applied Sciences blood pressure hyperbolic secant function photoplethysmography pulse decomposition analysis |
| title | Blood Pressure Estimation by Photoplethysmogram Decomposition into Hyperbolic Secant Waves |
| title_full | Blood Pressure Estimation by Photoplethysmogram Decomposition into Hyperbolic Secant Waves |
| title_fullStr | Blood Pressure Estimation by Photoplethysmogram Decomposition into Hyperbolic Secant Waves |
| title_full_unstemmed | Blood Pressure Estimation by Photoplethysmogram Decomposition into Hyperbolic Secant Waves |
| title_short | Blood Pressure Estimation by Photoplethysmogram Decomposition into Hyperbolic Secant Waves |
| title_sort | blood pressure estimation by photoplethysmogram decomposition into hyperbolic secant waves |
| topic | blood pressure hyperbolic secant function photoplethysmography pulse decomposition analysis |
| url | https://www.mdpi.com/2076-3417/12/4/1798 |
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