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    Patient-Specific Blood Pressure Estimation Using Elastography-Integrated Arterial Tonometry: Design, Development, and Experimental Evaluation in a Phantom Model

    Source: Journal of Medical Devices:;2026:;volume( 020 ):;issue:005
    Author:
    Zhu, Ge
    ,
    Minnie, David
    ,
    Watson, Nora
    ,
    Zheng, Yihao
    ,
    Zhang, Quan
    DOI: 10.1115/1.4071991
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Accurate assessment of arterial blood pressure (BP) and vascular stiffness is critical for diagnosing and monitoring cardiovascular disease. Arterial tonometry (AT) enables direct pulse wave acquisition and has been widely explored for noninvasive, continuous, wearable BP estimation. However, tonometry-based approaches typically rely on generalized arterial biomechanical parameters that exhibit substantial intersubject variability and can limit accuracy, particularly in pathological conditions. To address this limitation, we present a hybrid sensing framework that integrates shear wave elastography (SWE) with arterial tonometry to enable patient-specific biomechanical parameterization. The proposed device simultaneously acquires arterial stiffness metrics and pulse pressure waveforms, which are incorporated into a validated physics-driven model for continuous BP estimation. By combining elastography-derived mechanical priors with direct pulse wave measurements, this approach improves personalization and physiological fidelity of noninvasive, continuous BP monitoring. The proposed hybrid system demonstrates the potential for more accurate, patient-specific, and continuous blood pressure assessment, with implications for wearable cardiovascular monitoring and precision diagnostics.
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      Patient-Specific Blood Pressure Estimation Using Elastography-Integrated Arterial Tonometry: Design, Development, and Experimental Evaluation in a Phantom Model

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4315603
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    contributor authorZhu, Ge
    contributor authorMinnie, David
    contributor authorWatson, Nora
    contributor authorZheng, Yihao
    contributor authorZhang, Quan
    date accessioned2026-08-23T07:47:12Z
    date available2026-08-23T07:47:12Z
    date copyright2026/10/01
    date issued2026
    identifier issn1932-6181
    identifier othermed-26-1059.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315603
    description abstractAbstract. Accurate assessment of arterial blood pressure (BP) and vascular stiffness is critical for diagnosing and monitoring cardiovascular disease. Arterial tonometry (AT) enables direct pulse wave acquisition and has been widely explored for noninvasive, continuous, wearable BP estimation. However, tonometry-based approaches typically rely on generalized arterial biomechanical parameters that exhibit substantial intersubject variability and can limit accuracy, particularly in pathological conditions. To address this limitation, we present a hybrid sensing framework that integrates shear wave elastography (SWE) with arterial tonometry to enable patient-specific biomechanical parameterization. The proposed device simultaneously acquires arterial stiffness metrics and pulse pressure waveforms, which are incorporated into a validated physics-driven model for continuous BP estimation. By combining elastography-derived mechanical priors with direct pulse wave measurements, this approach improves personalization and physiological fidelity of noninvasive, continuous BP monitoring. The proposed hybrid system demonstrates the potential for more accurate, patient-specific, and continuous blood pressure assessment, with implications for wearable cardiovascular monitoring and precision diagnostics.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePatient-Specific Blood Pressure Estimation Using Elastography-Integrated Arterial Tonometry: Design, Development, and Experimental Evaluation in a Phantom Model
    typeJournal Paper
    journal volume20
    journal issue5
    journal titleJournal of Medical Devices
    identifier doi10.1115/1.4071991
    treeJournal of Medical Devices:;2026:;volume( 020 ):;issue:005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian