SHB: Medium: Collaborative Research: Non-Intrusive Multi-Patient Fall-Risk Monitoring in Health Care Facilities

SHB：中：协作研究：医疗保健机构中的非侵入式多患者跌倒风险监测

• 批准号: 1065442
• 负责人: Thurmon Lockhart
• 金额: $ 75万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1065442&HistoricalAwards=false
• 关键词: SHB; Medium; Collaborative; Research; Non

This project brings together four investigators who identified an opportunity to bridge their disparate fields (gait analysis, body sensor networks, low power RF circuits, and gerontology) in order to address an extremely important health care problem of fall prevention. Their combined expertise addresses the following scientific objectives: (1) explore on-node signal processing and low power RF transceivers to balance energy consumption and mobility analysis fidelity in wireless on-body inertial sensing, (2) identify the minimal set of on-body sensor locations to provide high-quality mobility analysis, (3) determine the appropriate algorithms to identify fall prone individuals in controlled in- and out-of-lab data collections to assess the external influences of context and activities, and (4) validate the TEMPO-based data collection and processing algorithms in a naturalistic HFC living environment.This project enables a new paradigm in elderly patient care to target fall prevention interventions to high fall risk individuals before fall incidents occur, preserving patient's health and quality of life while reducing health care costs. In addition, the above described fundamental scientific objectives apply in the broader application of energy efficient BSNs in a variety of application domains. The education and outreach plans focus on crossing the disciplinary divide between technology and health care, using hands-on public demonstrations, undergraduate laboratory modules, and multi-disciplinary videoconferencing graduate seminar courses to attract and develop leaders who can address the tremendous challenges that face the health care industry in the coming decades.

该项目汇集了四名调查人员，他们确定了弥合不同领域的机会（步态分析，身体传感器网络，低功率RF电路和老年病），以解决一个非常重要的预防秋季预防医疗保健问题。 Their combined expertise addresses the following scientific objectives: (1) explore on-node signal processing and low power RF transceivers to balance energy consumption and mobility analysis fidelity in wireless on-body inertial sensing, (2) identify the minimal set of on-body sensor locations to provide high-quality mobility analysis, (3) determine the appropriate algorithms to identify fall prone individuals in controlled in- and out-of-lab data collections to assess the external背景和活动的影响，以及（4）在自然主义的HFC生活环境中验证基于节奏的数据收集和处理算法。本项目使老年患者护理的新范式可以针对跌倒风险的跌落风险在跌倒事故发生之前，以降低患者的健康和降低医疗保健的质量。此外，以上所述的基本科学目标适用于在各种应用域中更广泛地应用能源效率的BSN。教育和外展计划着重于跨越技术与医疗保健之间的纪律鸿沟，使用动手公开示威，本科实验室模块以及多学科的视频会议研究生研讨会课程，以吸引和发展领导者，他们可以解决未来十年来面对卫生保健行业的巨大挑战的领导者。