Robust Physiological Signal Extraction using High Precision Hardware and Personalized Signal Processing

使用高精度硬件和个性化信号处理进行稳健的生理信号提取

• 批准号: 0926076
• 负责人: Olga Boric-Lubecke
• 金额: $ 35万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0926076&HistoricalAwards=false
• 关键词: Robust; Physiological; Signal; Extraction; using

The objective of this research is to enable accurate heart signal extraction using Doppler radar. The approach is to develop high-precision hardware and data-driven solutions for extracting and interpreting physiological data obtained using Doppler radar. The primary motivation for this work is a growing need for non-invasive monitoring of health parameters, as well as military and national security applications.With respect to intellectual merit, this collaborative research involving engineering and medical faculty at the University of Hawaii at Manoa seeks to achieve a high level of robustness and reliability in non-contact Doppler radar physiological sensing. The project builds on the investigators' past work on Doppler heart sensing and non-invasive cardiology.With respect to broader impact, this project has the potential to result in valuable tools that can benefit society in the areas of health care, emergency response, military, and security operations. This project presents a motivating educational opportunity for a diverse population of minority students that have been historically underserved by local educational and industrial opportunities. An important aspect of this project is the interaction of engineering students with the medical co-advisor. The partnership established in this project allows engineering students and faculty to complement College of Engineering resources by leveraging medical school expertise and facilities. Students involved in this project also have an opportunity to participate in K-12 outreach activities.

本研究的目的是利用多普勒雷达实现准确的心脏信号提取。该方法是开发高精度硬件和数据驱动的解决方案，用于提取和解释使用多普勒雷达获得的生理数据。这项工作的主要动机是越来越需要对健康参数进行非侵入性监测，以及军事和国家安全应用。在知识价值方面，这项由夏威夷大学马诺阿分校工程和医学院参与的合作研究力求在非接触式多普勒雷达生理传感方面实现高水平的稳健性和可靠性。该项目建立在研究人员过去在多普勒心脏传感和非侵入性心脏病学方面的工作基础上。就更广泛的影响而言，该项目有可能产生可在保健、应急、军事和安全行动领域造福社会的宝贵工具。该项目为少数民族学生提供了一个激励的教育机会，这些学生在历史上一直没有得到当地教育和工业机会的服务。这个项目的一个重要方面是工程系学生与医学联合顾问的互动。在这个项目中建立的伙伴关系允许工程专业的学生和教师通过利用医学院的专业知识和设施来补充工程学院的资源。参与该项目的学生也有机会参加K-12外展活动。