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）：自动无创血压（NIBP）监测对于高血压的管理至关重要。示波技术是自动 NIBP 监测仪用于临床和动态血压 (BP) 监测以及血压自我测量的主要方法。然而，示波法在某些临床情况下容易出错，特别是对于因动脉粥样硬化而导致动脉僵硬的老年患者。已知有一些因素可能影响示波血压测量的准确性：动脉僵硬度、心率、压力脉冲幅度、受试者焦虑程度、袖带尺寸和袖带位置。对袖带-手臂-动脉系统生物力学特性的数值模拟研究表明，动脉僵硬度是影响示波血压估算准确性的主要因素，导致收缩压计算误差高达15-20%。其他研究也证实，动脉僵硬度是示波血压监测仪和血压计之间不一致的原因。随着人口老龄化的增加，基于示波法的 NIBP 监测仪的应用不断增加，迫切需要开发更好的算法来提高示波设备的准确性。该 SBIR 提案的目标是开发、验证和商业化自动化 NIBP 监测仪，实施包含参数以补偿动脉僵硬度的 NIBP 算法。该项目的成功将提高自动示波 NIBP 监测仪的准确性。