Non-Intrusive Automated Portable Data Collection System for Aging Surveys

描述(由申请人提供)：细胞和调查报告(国家研究理事会2000年)报告称，通过将丰富的信息数据集添加到目前尚未收集的纵向数据库中，收集生物信息极大地提高了家庭调查的价值。事实上，由于家庭调查小组和调查报告从个人收集生物数据和业绩衡量(除了人口、社会经济、认知、态度和健康数据)，在家庭调查中已变得越来越普遍。这些数据不仅对学术研究人员有用，而且对保险公司、医疗保健提供者、医疗保健组织、制药公司以及健康和健康政策分析师也有用。拥有丰富数据集的具体优势包括：1)能够轻松地进行基于人群的比较研究，以寻找此类差异，如医疗保健结果差异；2)这些数据易于访问，使未来研究成为一种全新的范式，如生物人口学；3)使未来的研究能够在几小时内完成，而不是几个月或几年；4)加强对行为干预、新的医疗保健举措和环境因素(物理、化学或生物)对人口水平影响的研究。将在第一阶段研究的拟议可穿戴式监测系统预计将使收集纵向(数周至数年)数据变得更加容易。这项建议是为了确定基于人口老龄化研究调查的可穿戴式监测的设计和可行性。它完全响应PA-06-471，采用非侵入性(或非侵入性)无线数据采集系统，以提高在家庭调查中收集生物数据和绩效指标的便携性、速度、简易性和成本效益。所提出的系统包括以下组件：1.一种可穿戴的、非侵入性的(腕表型)无线设备，用于收集专门为衰老研究量身定做的生理和环境事件数据。该设备的目的是在初次面谈后持续佩戴一段时间。2.一种便携式无线连接系统(熊猫供电的自动网络数据聚合器)，用于可穿戴设备将其数据安全和无线地传送到远程服务器。如果到远程数据库服务器的连接不可用，该设备还将存储数据。3.一种新的老年人用户界面模式，通过移动、苹果iPhone的表面计算触摸屏，支持随时随地更轻松的移动主题交互，回答调查问题并向主题提供警报。4.远程服务器上运行的数据存储能力和数据查询软件。系统的这一部分将无线生理和环境数据与采集的所有其他数据流整合在一起。它通过Internet使用分布式、安全的网络计算执行数据管理，并随时随地将集成记录传输到远程纵向数据库。这项第一阶段的提案是与该领域的资深研究员、佛罗里达州立大学心理学教授尼尔·查内斯博士合作提出的。要实时收集的初始“移动”数据的范围包括脉搏血氧饱和度、心率、皮肤温度、运动/步态分析和问卷调查。在建立该平台后，可使用基于标准的开放接口支持用于额外生物标记物或环境传感器数据收集的外部第三方设备。这一扩展的数据集可以包括电生理数据(ECG、EEG)、血斑分析测量、反应时间评估、感觉功能评估(视觉、嗅觉、听觉等)、强度评估、行动/功能评估，以及任何未来将开发的设备。AFrame开发了一个原型端到端可穿戴系统，其中包括手腕传感器(跌倒检测、位置信息、脉搏血氧仪/心率、皮肤温度、环境温度和软件可设置按钮-Panic等)、熊猫网关和处理实时事件数据的高级分析(贝叶斯)远程服务器软件。正在增加蓝牙连接，以支持接收血糖测量和体重秤数据。该系统计划于2008年下半年开始在老年保健健康监测应用程序中进行商业使用。建议对该系统进行调整，包括直接用户界面、问卷数据采集和扩展数据采集，这将对以老龄化调查为基础的研究有价值。 公共卫生相关性：该项目支持在老年人纵向调查中收集数据。该项目完全符合PA-06-471的要求。该项目支持国家卫生研究院的公共卫生使命，特别是支持国家老龄研究所通过研究改善美国老年人的健康和福祉的使命。

DESCRIPTION (provided by applicant): The Cells and Surveys report (National Research Council 2000) reports that collecting biological information dramatically improves the value of household surveys by adding a rich dataset of information to longitudinal databases that is not collected today. In fact, since the Cells and Surveys report the collection of biological data and performance measures (in addition to demographic, socioeconomic, cognitive, attitudinal and health data) from individuals in household surveys have become increasingly common. Such data is not only of use to academic researchers, but to insurers, health care providers, HMOs, pharmaceutical companies and health and wellness policy analysts. Specific advantages of having rich data sets include 1) Ability to easily conduct population-based comparison research looking for such differences such as healthcare outcome disparities 2) Having such data readily accessible enables an entirely new paradigm of future research such as Bio-demography 3) Enables future studies in a matter of hours versus months or years 4) Enhances research into population level effects of behavioral interventions, new health care initiatives and environmental factors (physical, chemical or biological). The proposed wearable monitoring system to be studied in Phase I is anticipated to enable longitudinal (weeks to years) data to be collected with greater ease. This proposal is to determine the design and feasibility wearable monitoring for population-based aging research surveys. It is fully responsive to PA-06-471 with a non-intrusive (or non-obtrusive) wireless data collection system to increase the portability, speed, ease and cost-effectiveness of collecting biological data and performance measures in household surveys. The proposed system includes the following components: 1. A wearable, non-intrusive (wrist watch type), wireless device for the collection of physiological and environmental event data specifically tailored for aging research. The device is intended to be worn continuously for a set period of time after the initial interview. 2. A portable wireless connection system (PANDA - Powered Automated Network Data Aggregator) for the wearable device to securely and wirelessly communicate its data to remote servers. The device will also store data if a connection to a remote database server is not available. 3. A new paradigm for an elderly user interface via `surface computing' touch screens via a mobile, Apple iPhone to support easier mobile subject interaction anytime, anywhere in answering survey questions and providing alerts to the subject. 4. A data storage capability and data query software that runs on the remote server. This part of the system integrates the wireless physiological and environmental data with all other data streams collected. It performs the data management and transfers integrated records to the remote longitudinal database from anywhere at anytime using distributed, secure network computing via the Internet. This Phase I proposal is made in collaboration with a senior researcher in the field, Dr. Neil Charness, Professor of Psychology, Florida State University. The scope of initial `mobile' data to be collected in real-time includes Pulse Oximetry, Heart Rate, Skin temperature, movement/gait analysis and a questionnaire. Upon establishing the platform, external third-party devices for additional biomarker or environmental sensor data collection can be supported using standards-based open interfaces. This expanded set of data could include electrical physiological data (ECG, EEG), blood spot assay measures, reaction time assessments, sense function assessments (visual, olfactory, auditory, etc.), strength assessments, mobility/function assessments, and any future devices that will be developed. AFrame has developed a prototype end-to-end wearable system that includes a wrist sensor (fall detection, location information, pulse oximetry/heart rate, skin temperature, ambient temperature and software settable buttons - panic, etc.), a PANDA gateway and advanced analytic (Bayesian) remote server software that processes the real-time event data. Bluetooth connectivity is being added to support receipt of blood glucose measurements and weight scale data. The system is slated for commercial use in eldercare health monitoring applications starting in the second half of 2008. It is proposed that adaptations to the system including direct user interface data capture of questionnaires and expanded data capture will be of value to aging survey based research. PUBLIC HEALTH RELEVANCE: This project supports the collection of data in longitudinal surveys of the elderly. The project is fully responsive to PA-06-471. The project supports the public health mission of the National Institutes of Health, specifically the National Institute of Aging by supporting the NIA's mission to improve the health and well-being of older Americans through research.