Improved Non-Invasive Blood Pressure Monitor Algorithms

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。血压测量技术是自动NIBP监护仪用于临床和动态血压（BP）监测以及BP自我测量的主要方法。然而，在某些临床情况下，特别是在动脉粥样硬化导致动脉硬化的老年患者中，动脉硬化测量方法容易出错。 已知有几个因素可能影响动脉血压测量的准确性：动脉硬度、心率、压力脉搏幅度、受试者焦虑水平、袖带尺寸和袖带放置。 对袖带-臂-动脉系统的生物力学特性的数值模拟研究表明，动脉僵硬度是影响血压测量准确性的主要因素，导致收缩压计算误差高达15-20%。其他研究也证实，动脉僵硬是血压计和血压计之间不一致的原因。随着人口老龄化的增加，导致基于血压测量的NIBP监测器的应用增加，迫切需要开发更好的算法来提高血压测量设备的准确性。 该SBIR提案的目标是开发、验证和商业化自动化NIBP监测仪，实现NIBP算法，该算法包含补偿动脉僵硬的参数。该项目的成功将提高自动化血压监测仪的准确性。

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.