CAREER: CSR Ultra Low Power Architectures for Wearable Computing

职业：适用于可穿戴计算的 CSR 超低功耗架构

• 批准号: 1150079
• 负责人: Roozbeh Jafari
• 金额: $ 40万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-15 至 2017-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1150079&HistoricalAwards=false
• 关键词: CAREER; CSR; Ultra; Low; Power

Wearable health monitoring systems offer tremendous potential to improve our lives, yet a number of hurdles must be cleared before they become a reality. The processors and architectures that enable this technology demand a large amount of energy, requiring sizable batteries. The ultimate objective of this CAREER research is to create programmable architectures which require no battery and can rely on energy harvesting techniques. To achieve this objective, we seek to reduce power consumption of the processing units by more than two orders of magnitude. This power reduction is accomplished through novel, transformative methodologies to compose and configure programmable, ultra low power, granular decision-making architectures. New algorithms, tightly coupled with signal processing for power reduction in communication blocks are investigated. Research methods to activate and deactivate sensors with the granular decision making architecture attempts to further reduce the power consumption. The methodologies are validated and refined using two clinical case studies.This project has the potential to dramatically improve the quality of health monitoring practice and medical research, empowering numerous applications that are not currently feasible. Growing demand for health care monitoring applications requires students, engineers and health care professionals to design, develop, deploy and operate wearable systems. This project provides a multidisciplinary platform to realize the educational objectives of developing wearable computers, involving high school students and teachers as well as undergraduate and graduate students. Outreach programs are offered through short courses and lectures to local undergraduate societies (SWE, Honors and IEEE), K-12 students, health-care professionals, and local industries.

可穿戴健康监测系统具有改善我们生活的巨大潜力，但是在成为现实之前，必须清除许多障碍。使该技术能够大量能量的处理器和体系结构需要大量的电池。这项职业研究的最终目标是创建无需电池的可编程架构，并且可以依靠能源收集技术。为了实现这一目标，我们试图将处理单元的功耗减少两个以上的数量级。 通过新颖的变革方法来完成这种功率降低，以组成和配置可编程的超低功率，颗粒状决策制定体系结构。研究了新的算法，与信号处理紧密结合，以减少通信块的功率。通过颗粒状决策架构试图进一步降低功耗的研究方法来激活和停用传感器。使用两种临床案例研究对方法进行了验证和完善。该项目有可能显着提高健康监测实践和医学研究的质量，从而赋予许多目前不可行的应用。对医疗保健监测应用的需求不断增长，需要学生，工程师和医疗保健专业人员设计，开发，部署和操作可穿戴系统。该项目提供了一个多学科平台，以实现开发可穿戴计算机的教育目标，涉及高中生和老师以及本科生和研究生。外展计划是通过向当地本科社会（SWE，荣誉和IEEE），K-12学生，卫生保健专业人员和当地行业的简短课程和讲座提供的。