Wearable Wireless Sensors to Monitor Aging Population

描述（由申请人提供）：Koronis Biomedical Technologies（KBT）提出开发一种低功耗无线系统，用于连接微型可穿戴传感器，以便在家庭环境中连续自动收集数据。拟议的系统将是一个有价值的工具，为研究人员/临床医生，并有可能提供早期诊断的变化，在老化过程中的临床医生。对于可以集成到老年人的日常生活中的微创、非侵入性、可穿戴且具有成本效益的设备存在显著需求。现有的与年龄有关的变化和过程的措施有一些局限性。例如，患者问卷要求参与者自我报告高度主观的信息。其他技术要求患者执行或遵守严格的测试程序。然而，其他技术仅收集单点数据或需要侵入性程序。需要一种传感器技术，该技术几乎不需要患者的参与，并且提供连续、实时的数据收集。这种传感器技术将为研究人员和临床医生提供关于衰老过程缓慢进展期间生理参数变化和变化率的重要信息。这些数据还可以用于理解和建模健康和年龄相关的事件/事件。在第二阶段，KBT将开发一个基于互联网的系统，使用一组连接到身体上的无线传感器来捕捉运动，从而在家中监测帕金森患者。这个基于互联网的系统将提供视频会议功能，使用支持网络的智能手机远程访问传感器记录的数据，以及分析记录数据的软件。

DESCRIPTION (provided by applicant): Koronis Biomedical Technologies (KBT) proposes to develop a low-power wireless system for connecting miniature wearable sensors for continuous automatic data collection in a home setting. The proposed system will be a valuable tool for researchers/clinicians and has the potential to provide early diagnosis of changes in the aging process for clinicians. There is a significant need for minimally-invasive, non-intrusive, wearable, and cost-effective devices that can be integrated into the daily lives of the elderly. Existing measures for age-related changes and processes have a number of limitations. For example, patient questionnaires require the participant to self-report information that is highly subjective. Other technologies require the patient to perform or comply with rigid testing procedures. Yet other technologies only collect a single point of data or require invasive procedures. There is a need for sensor technology which requires little participation by the patient and provides continuous, real-time data collection. Such sensor technology would provide researchers and clinicians vital information as to the variations and rates of changes in physiological parameters during the slow progression of the aging process. This data could also be utilized in understanding and modeling health and age-related events/episodes. In this Phase II, KBT will develop an Internet based system to monitor Parkinson patients in their homes using a set of wireless sensors attached to the body to capture movement. This Internet based system will provide videoconferencing capability, remote access to data recorded from the sensors using a web-enabled smartphone, and software to analyze data recorded.