A Physical Activity and Physiological Monitoring System
身体活动和生理监测系统
基本信息
- 批准号:6883009
- 负责人:
- 金额:$ 9.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-07-10 至 2006-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): Noninvasive and unobtrusive instrumentation is needed to monitor individuals in clinical and natural settings for such purposes as monitoring for medication side effects, monitoring post-operative and chronic patients, and for diagnosing and treating various disorders. Example disorders include sleep problems (e.g., sleep/wake patterns; sleep quality, quantity, and circadian phasing; sleep disordered breathing), pain management, and ADHD. A significant problem encountered in such applications is the lack of an accurate "wear and forget" device that can be worn discreetly and comfortably for long periods to measure physical activity and physiological parameters.
The proposed research focuses on the development of a novel, integrated, high-accuracy, body worn System for Monitoring Activity, Respiration, Heart rate, and Temperature (SMARHT). The SMARHT represents a one-piece sensor system that maximizes ease of use and wearer comfort. It avoids the ergonomic problems associated with conventional ambulatory measurements, such as chest belts or adhesive EGG electrodes used to measure heart rate, and chest band inductive plethysmographs used to measure respirations. Phase I work will demonstrate a better method for wirelessly collecting such physiological data. The effort will include validation testing of SMARHT recorded physical activity and physiological data collected on human subjects at rest and while performing a wide range of activities.
描述(由申请人提供):为了监测药物副作用,监测术后和慢性患者以及诊断和治疗各种疾病等目的,需要在临床和自然环境中监测个人,以监测临床和自然环境中的个人。示例疾病包括睡眠问题(例如,睡眠/唤醒模式;睡眠质量,数量和昼夜节律阶段;呼吸失调),疼痛管理和多动症。在这种应用中遇到的一个重大问题是缺乏准确的“磨损和忘记”设备,可以长期谨慎而舒适地磨损以测量体育活动和生理参数。
拟议的研究重点是开发一种新型,综合,高临界性,用于监测活动,呼吸,心率和温度的身体磨损系统(SMARHT)。 Smarht代表了一个单件传感器系统,可最大程度地利用使用和佩戴者的舒适性。它避免了与常规门诊测量相关的人体工程学问题,例如用于测量心率的胸部或粘合剂卵电极,以及用于测量呼吸的胸带感应量。第一阶段的工作将展示一种更好地收集此类生理数据的方法。这项工作将包括验证SMARHT记录的体育活动和对人类受试者收集的生理数据,同时进行广泛的活动。
项目成果
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