Unassisted Blood Pressure Monitoring Using Arterial Tonometry and Photoplethysmography

使用动脉张力测定法和光电容积描记法进行无辅助血压监测

基本信息

  • 批准号:
    8936340
  • 负责人:
  • 金额:
    $ 36.21万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-30 至 2017-07-31
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): We propose a tonometry based solution to the problem of inexpensive, unencumbering and non- invasive measurement of blood pressure. The proposed solution will be useful in clinical as well as ambulatory blood pressure measurements. Specifically, we propose to develop a large (1cm x 5cm) two-dimensional array of pressure sensors with 0.2mm spacing (24x128 pressure-sensing elements), together with robust signal processing algorithms with a feedback controlled band-tightening mechanism in order to measure blood pressure at the wrist. The pressure sensor array together with a photoplethysmogram (PPG) sensor will be embedded in a band, and will provide signals through a multiplexed circuit designed. Signal conditioning techniques will be used to get the large amount of data in the form that can be efficiently processed on a microcontroller. The proposed two-dimensional array of pressure sensors will be built using flexible plastic and micro-fabrication techniques. The increased size of the sensor array will ensure proper contact and pressure application with arteries in the wrist for tonometric measurement of BP. The signals generated from the sensor array will be processed through advanced signal processing and optimization techniques to handle the huge amount of data and to mitigate noise. The PPG signals will be used at the wrist to improve the efficiency and accuracy of the system. The sensor array system will be embodied in the form of a band, which will be integrated in a wearable device such as smartwatch. The capabilities of the smartwatch will be used for data processing and analytics. a) Design, develop, and test a two-dimensional pressure sensor array on a polyimide flexible substrate b) Process large amount of analog data from sensor array using signal conditioning and processing techniques to generate blood pressure estimates c) Design a user friendly prototype form factor, and perform a clinical trial to validate device performance The engineering members of our multidisciplinary team have specialized in cardiac instrumentation, signal and image processing for medical applications, pressure and touch sensors, signal processing and robust optimization. The team members with clinical expertise have been engaged in blood pressure trials in US, and have been working with leading institutions in India engaged in cardiovascular research. This proposal brings together their unique expertise and experience to innovatively address this challenging problem through a joint effort.
 描述(由申请人提供):我们提出了一种基于眼压测量的解决方案,以解决廉价、无阻碍且无创的血压测量问题。所提出的解决方案将适用于临床和动态血压测量。具体来说,我们建议开发一个间距为 0.2 毫米(24x128 压力传感元件)的大型(1 厘米 x 5 厘米)二维压力传感器阵列,以及具有反馈控制带紧机制的强大信号处理算法,以测量手腕血压。压力传感器阵列与光电体积描记图(PPG)传感器一起嵌入带中,并通过设计的多路复用电路提供信号。信号调理技术将用于获取可以在微控制器上有效处理的形式的大量数据。拟议的二维压力传感器阵列将使用柔性塑料和微制造技术来构建。传感器阵列尺寸的增加将确保与手腕动脉的正确接触和压力应用,以进行血压测量。传感器阵列生成的信号将通过先进的信号处理和优化技术进行处理,以处理大量数据并减轻噪声。 PPG信号将在手腕上使用,以提高系统的效率和准确性。传感器阵列系统将以腕带的形式体现,并将其集成到智能手表等可穿戴设备中。智能手表的功能将用于数据处理和分析。 a) 在聚酰亚胺柔性基板上设计、开发和测试二维压力传感器阵列 b) 使用信号调理和处理技术处理来自传感器阵列的大量模拟数据,以生成血压估计值 c) 设计用户友好的原型外形尺寸,并进行临床试验以验证设备性能 我们多学科团队的工程成员专门从事心脏仪器、医疗应用的信号和图像处理、压力和触摸 传感器、信号处理和鲁棒优化。具有临床专业知识的团队成员曾在美国从事血压试验,并与印度从事心血管研究的领先机构合作。该提案汇集了他们独特的专业知识和经验,通过共同努力以创新方式解决这一具有挑战性的问题。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(2)

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Sanjay Mehrotra其他文献

Sanjay Mehrotra的其他文献

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{{ truncateString('Sanjay Mehrotra', 18)}}的其他基金

Rescuing Kidneys at Risk of Discard
拯救面临废弃风险的肾脏
  • 批准号:
    10370316
  • 财政年份:
    2019
  • 资助金额:
    $ 36.21万
  • 项目类别:
Rescuing Kidneys at Risk of Discard
拯救面临废弃风险的肾脏
  • 批准号:
    9889956
  • 财政年份:
    2019
  • 资助金额:
    $ 36.21万
  • 项目类别:
Promoting Utilization of Kidneys by Improving Patient Level Decision Making
通过改善患者决策来促进肾脏的利用
  • 批准号:
    9019712
  • 财政年份:
    2016
  • 资助金额:
    $ 36.21万
  • 项目类别:

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