Understanding Life-Space Characteristics Based on Cell-Phone Collected Data

根据手机收集的数据了解生命空间特征

• 批准号: 8636760
• 负责人: Neng Wan
• 金额: $ 7.42万
• 依托单位: UNIVERSITY OF NEBRASKA MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-30 至 2014-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8636760
• 关键词: Address; Adherence; Adoption; Calibration; Caring; Cellular Phone; Characteristics; Classification; Clinical; Clinical assessments; Collaborations; Commuting; Data; Data Collection; Databases; Devices; Elderly; Epidemiology; Equipment; Frequencies; Geographic Information Systems; Geographic Locations; Geriatrics; Goals; Health; Health Professional; Health Status; Healthcare; Home environment; Human; Individual; Intervention; Knowledge; Left; Life; Location; Measures; Methods; Monitor; Participant; Patients; Pattern; Personal Satisfaction; Physical activity; Pilot Projects; Process; Public Health; Recruitment Activity; Research; Signal Transduction; Spatial Behavior; Statistical Methods; Telephone; Time; Translating; Travel; United States; base; clinically relevant; computerized data processing; data space; design; diaries; follow-up; functional status; method development; public health relevance; volunteer

DESCRIPTION (provided by applicant): Understanding life-space characteristics based on smart-phone collected data Project Summary Smart-phone is a promising device for collecting data of individuals' physical activity, travel mode, and life-space. In collaboration with experts n geriatrics and spatial epidemiology, this proposal translates and enhances traditional life-space measures into smart-phone based ones. Using geographic information system (GIS), signal processing, and spatial statistical methods, this proposal aims to develop a set of methods for processing smart-phone collected data to generate life-space information that is suitable for clinical intervention. Specifically, it estimates the location, duration, and physical intensity information of activities from the phone collected GPS and accelerometer data. Such information is then integrated to generate new life-space measures. The proposed life-space measures will be calibrated and validated using data collected by volunteers and compiled by GIS. In summary, this study will significantly enhance our understanding of life-space characteristics collected by smart-phone. The template of smart- phone data processing will not only directly benefit clinical intervention of geriatric patients, but will also facilitate the understanding of patients' spatial behaviors in various health conditions.

项目概述：智能手机是一种很有前途的收集个人身体活动、出行方式和生活空间数据的设备。在与老年病学和空间流行病学专家的合作下，该提案将传统的生活空间测量方法转化并增强为基于智能手机的测量方法。本提案旨在利用地理信息系统（GIS）、信号处理和空间统计方法，开发一套处理智能手机采集数据的方法，生成适合临床干预的生命空间信息。具体来说，它从手机收集的GPS和加速度计数据中估计活动的位置、持续时间和身体强度信息。然后将这些信息整合起来，生成新的生命空间测量。拟议的生活空间测量将使用志愿者收集的数据和地理信息系统编制的数据进行校准和验证。综上所述，本研究将显著增强我们对智能手机收集的生活空间特征的理解。智能手机数据处理模板不仅直接有利于老年患者的临床干预，而且有助于了解患者在各种健康状况下的空间行为。