Improved Non-Invasive Blood Pressure Monitor Algorithms

改进的无创血压监测算法

基本信息

批准号：
6788465
负责人：
BO CHEN
金额：
$ 9.99万
依托单位：
CAS MEDICAL SYSTEMS, INC.
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-04-01 至 2005-09-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6788465
关键词：
bioengineering /biomedical engineering biomedical equipment development biosensor device biotechnology blood pressure clinical research computer simulation computer system design /evaluation human subject mathematical model noninvasive diagnosis patient monitoring device vascular resistance

项目摘要

DESCRIPTION (provided by applicant): Automated non-invasive blood pressure (NIBP) monitoring is essential for the management of hypertension. The oscillometric technique is the main method used by automated NIBP monitors for clinical and ambulatory blood pressure (BP) monitoring, as well as self-measurement of BP. However, the oscillometric method is susceptible to error in certain clinical circumstances, particularly in elderly patients with stiff arteries due to atherosclerosis. A few factors are know to potentially influence the accuracy of oscillometric BP measurement: arterial stiffness, heart rate, pressure pulse amplitude, level of subject anxiety, cuff size, and cuff placement. Studies on biomechanical properties of the cuff-arm-artery system with numerical simulation have demonstrated that arterial stiffness is the main factor affecting the accuracy of oscillometric BP estimates, leading to errors as great as 15-20% in the computation of systolic blood pressure. Other studies also confirmed that arterial stiffness is the cause of disagreement between the oscillometric BP monitor and the sphygmomanometer. With the increase of an aging population leading to increased applications of oscillometry based NIBP monitors, there is an urgent need to develop better algorithms that improve the accuracy of oscillometric devices. The goal of this SBIR proposal will be to develop, validate, and commercialize an automated NIBP monitor, implementing NIBP algorithms that incorporate parameters to compensate for arterial stiffness. The success of this project will improve the accuracy of automated oscillometric NIBP monitors.

描述（由申请人提供）：自动化的非侵入性血压（NIBP）监测对于高血压管理至关重要。振荡技术是自动化的NIBP监测器用于临床和卧床血压（BP）监测以及BP的自我测量的主要方法。然而，在某些临床情况下，振荡方法易于误差，尤其是在由于动脉粥样硬化引起的僵硬动脉僵硬的老年患者中。知道一些因素可能会影响振荡BP测量的准确性：动脉僵硬，心率，压力脉冲振幅，受试者焦虑水平，袖口大小和袖口放置。对具有数值模拟的袖口臂 - 动脉系统生物力学特性的研究表明，动脉僵硬是影响振荡BP估计准确性的主要因素，导致在计算系统血压的计算中导致误差高达15-20％。其他研究还证实，动脉刚度是振荡BP监测器和血压计之间分歧的原因。随着老龄化人群的增加导致基于振荡的NIBP监测器的应用增加，迫切需要开发更好的算法来提高振荡设备的准确性。该SBIR提案的目的是开发，验证和商业化自动化的NIBP监视器，实施NIBP算法，该算法结合了参数以补偿动脉僵硬。该项目的成功将提高自动振荡NIBP显示器的准确性。