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是必不可少的。示波测量技术是NIBP自动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，在某些临床情况下，示波测量法很容易出错，特别是在动脉粥样硬化导致动脉僵硬的老年患者。 已知有几个因素可能会影响示波式血压测量的准确性：动脉僵硬、心率、压力脉搏幅度、受试者焦虑程度、袖带大小和袖带位置。 对袖带-手臂-动脉系统的生物力学特性的数值模拟研究表明，动脉僵硬是影响示波法测量血压准确性的主要因素，导致计算收缩压的误差高达15%-20%。其他研究也证实，动脉僵硬是导致示波式血压监测仪和血压计不一致的原因。随着老龄化人口的增加导致基于振荡法的NIBP监视器的应用增加，迫切需要开发更好的算法来提高振荡器的精度。 这项SBIR提案的目标将是开发、验证和商业化自动NIBP监护仪，实施包含参数以补偿动脉僵硬的NIBP算法。该项目的成功将提高自动示波NIBP监测仪的准确性。

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.