SBIR Phase I: A Dual Wrist Patch Based System for Continuous Blood Pressure Monitoring.

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是能够重新定义如何监测和管理血压。目前血压测量的护理标准是利用基于袖带的系统拍摄的离散快照来管理不断变化的压力。这些快照往往不准确，导致血压失控，这给我们的医疗系统造成了450亿美元的问题。拟议的项目将开发一种非侵入性的方法来持续测量血压。准确的颗粒血压趋势将使医生更好地控制高血压，这是心血管疾病的主要危险因素，影响着今天超过1亿的美国人。实时血压监测还可以帮助患者了解他们的日常行为对血压的影响，并促进健康的生活方式选择。连续无创血压监测仪具有多种市场应用，将成为连续血压分析领域的先驱。该项目旨在开发一种基于手腕的贴片系统，该系统利用光学传感器获取脉搏波形数据，并采用一种新方法将其转换为血压。该团队将开发一个工作原型，获取原始数据并将其转换为绝对血压。原型机还将能够将这些血压传输到智能设备以供检查。随着工作原型的成功开发，该团队将生成一个数据库，以改进用于将差分脉冲到达时间转换为血压的算法。准确的门诊血压趋势将消除对血压管理的猜测，并有可能确定心血管疾病的新预后标记。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the ability to redefine how blood pressure is monitored and managed. The current standard of care for blood pressure measurement is to utilize discrete snapshots taken by cuff-based systems to manage a constantly changing pressure. These snapshots are often inaccurate and lead to uncontrolled blood pressure, a 45 billion dollar problem for our healthcare system. The proposed project will develop a non-invasive approach to continuously measure blood pressure. Accurate granular blood pressure trends would allow physicians to better manage high blood pressure, a major risk factor for cardiovascular disease, which affects over 100 million Americans today. Real-time blood pressure monitoring would also help patients understand the impact of their daily behaviors on blood pressure and promote healthy lifestyle choices. A continuous non-invasive blood pressure monitor has multiple market applications and would pioneer the field of continuous blood pressure analytics. The proposed project aims to develop a wrist based patch system that utilizes optical sensors to obtain pulse waveform data and a novel approach to convert it to blood pressure. The team will be developing a working prototype that acquires the raw data and converts it to absolute blood pressure. The prototype will also have the ability to transmit these blood pressures to a smart device for review. With successful development of the working prototype the team will then generate a databank to refine the algorithm used to convert differential pulse arrival time to blood pressure. Accurate outpatient blood pressure trends would take the guesswork out of blood pressure management and has the potential of identifying new prognostic markers for cardiovascular disease.