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: 1734039
• 负责人: Roozbeh Jafari
• 金额: $ 48.58万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-26 至 2021-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1734039&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为改善我们的生活提供了巨大的潜力，但在成为现实之前，必须清除一些障碍。支持这项技术的处理器和架构需要大量的能量，需要相当大的电池。这项CAREER研究的最终目标是创建不需要电池的可编程架构，并可以依赖于能量收集技术。为了实现这一目标，我们寻求将处理单元的功耗降低两个数量级以上。 这种功耗降低是通过新颖的、变革性的方法来实现的，这些方法可以组成和配置可编程的、超低功耗的粒度决策架构。研究了与信号处理紧密耦合的新算法，用于降低通信块中的功率。研究方法来激活和停用传感器与粒度决策架构试图进一步降低功耗。该方法通过两个临床案例研究进行了验证和改进，该项目有可能大大提高健康监测实践和医学研究的质量，使目前尚不可行的许多应用成为可能。对医疗监控应用的需求不断增长，要求学生、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，涉及高中学生和教师以及本科生和研究生。外展计划通过短期课程和讲座提供给当地本科社团（SWE，荣誉和IEEE），K-12学生，医疗保健专业人员和当地行业。