Importance of Considering Temporal Variations in Pulse Wave Velocity for Accurate Blood Pressure Prediction.
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| Title: | Importance of Considering Temporal Variations in Pulse Wave Velocity for Accurate Blood Pressure Prediction. |
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| Authors: | Bantwal, Aditya Satishkumar1 (AUTHOR) abantwal@buffalo.edu, Bhayadia, Amit Kumar1 (AUTHOR) abhayadi@buffalo.edu, Meng, Hui1 (AUTHOR) huimeng@buffalo.edu |
| Source: | Annals of Biomedical Engineering. May2025, Vol. 53 Issue 5, p1080-1094. 15p. |
| Subjects: | Pulse wave analysis, Radial artery, Heart beat, Fluid-structure interaction, Carotid artery, Pulsatile flow |
| Abstract: | Purpose: Continuous, cuffless blood pressure (BP) monitoring devices based on measuring pulse wave velocity (PWV) or pulse transit time (PTT) are emerging but are often plagued by large prediction errors. A key issue is that these techniques typically rely on a single PWV value, assuming a linear response and small arterial wall deformations. However, arterial response to BP is inherently nonlinear, with PWV varying over time [PWV(t)] by up to 50% during a cardiac cycle. This study evaluates the impact of assuming a single PWV on BP prediction accuracy. Method: Using a Fluid-structure Interaction (FSI) testbed, we simulate the radial and common carotid arteries with the Holzapfel–Gasser–Ogden (HGO) constitutive model to capture nonlinear arterial behavior under a pulsatile physiological blood flow. Pressure data from FSI simulation are used as the ground truth, while inner area A(t) and two PWV values, at diastole and systole, serve as inputs to BP prediction models. Two models are tested: one using a single PWV value, emulating existing PWV-based BP prediction methods; another using the two PWV values to account for PWV(t). Results: The single-PWV BP model produced prediction errors of 17.44 mmHg and 6.57 mmHg for the radial and carotid arteries, respectively. The model incorporating two PWV values reduced these errors by 90.6% and 96.8%, respectively. Conclusion: Relying on a single PWV in BP prediction models can lead to significant errors. To improve BP accuracy, future efforts should focus on incorporating PWV(t), or at least both diastolic and systolic PWV values, into these models. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 184556078 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Importance of Considering Temporal Variations in Pulse Wave Velocity for Accurate Blood Pressure Prediction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bantwal%2C+Aditya+Satishkumar%22">Bantwal, Aditya Satishkumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> abantwal@buffalo.edu</i><br /><searchLink fieldCode="AR" term="%22Bhayadia%2C+Amit+Kumar%22">Bhayadia, Amit Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> abhayadi@buffalo.edu</i><br /><searchLink fieldCode="AR" term="%22Meng%2C+Hui%22">Meng, Hui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> huimeng@buffalo.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Biomedical+Engineering%22">Annals of Biomedical Engineering</searchLink>. May2025, Vol. 53 Issue 5, p1080-1094. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Pulse+wave+analysis%22">Pulse wave analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Radial+artery%22">Radial artery</searchLink><br /><searchLink fieldCode="DE" term="%22Heart+beat%22">Heart beat</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid-structure+interaction%22">Fluid-structure interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Carotid+artery%22">Carotid artery</searchLink><br /><searchLink fieldCode="DE" term="%22Pulsatile+flow%22">Pulsatile flow</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Continuous, cuffless blood pressure (BP) monitoring devices based on measuring pulse wave velocity (PWV) or pulse transit time (PTT) are emerging but are often plagued by large prediction errors. A key issue is that these techniques typically rely on a single PWV value, assuming a linear response and small arterial wall deformations. However, arterial response to BP is inherently nonlinear, with PWV varying over time [PWV(t)] by up to 50% during a cardiac cycle. This study evaluates the impact of assuming a single PWV on BP prediction accuracy. Method: Using a Fluid-structure Interaction (FSI) testbed, we simulate the radial and common carotid arteries with the Holzapfel–Gasser–Ogden (HGO) constitutive model to capture nonlinear arterial behavior under a pulsatile physiological blood flow. Pressure data from FSI simulation are used as the ground truth, while inner area A(t) and two PWV values, at diastole and systole, serve as inputs to BP prediction models. Two models are tested: one using a single PWV value, emulating existing PWV-based BP prediction methods; another using the two PWV values to account for PWV(t). Results: The single-PWV BP model produced prediction errors of 17.44 mmHg and 6.57 mmHg for the radial and carotid arteries, respectively. The model incorporating two PWV values reduced these errors by 90.6% and 96.8%, respectively. Conclusion: Relying on a single PWV in BP prediction models can lead to significant errors. To improve BP accuracy, future efforts should focus on incorporating PWV(t), or at least both diastolic and systolic PWV values, into these models. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10439-025-03681-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1080 Subjects: – SubjectFull: Pulse wave analysis Type: general – SubjectFull: Radial artery Type: general – SubjectFull: Heart beat Type: general – SubjectFull: Fluid-structure interaction Type: general – SubjectFull: Carotid artery Type: general – SubjectFull: Pulsatile flow Type: general Titles: – TitleFull: Importance of Considering Temporal Variations in Pulse Wave Velocity for Accurate Blood Pressure Prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bantwal, Aditya Satishkumar – PersonEntity: Name: NameFull: Bhayadia, Amit Kumar – PersonEntity: Name: NameFull: Meng, Hui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00906964 Numbering: – Type: volume Value: 53 – Type: issue Value: 5 Titles: – TitleFull: Annals of Biomedical Engineering Type: main |
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