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

基本信息

批准号：
8741916
负责人：
Neng Wan
金额：
$ 7.48万
依托单位：
UNIVERSITY OF UTAH
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-09-30 至 2016-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8741916
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 signal processing volunteer

项目摘要

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.

描述（由申请人提供）：了解基于智能手机收集的数据项目摘要智能手机的寿命特征是收集个人体育锻炼，旅行模式和寿命数据的有前途的设备。该建议与专家N老年医学和空间流行病学合作，将传统的寿命措施转化为基于智能手机的寿命措施。该建议使用地理信息系统（GIS），信号处理和空间统计方法，旨在开发一组处理智能手机收集数据的方法，以生成适合临床干预的寿命信息。具体而言，它估计手机收集的GPS和加速度计数据活动的位置，持续时间和物理强度信息。然后集成此类信息以生成新的寿命措施。提出的寿命措施将通过志愿者收集并由GIS编译的数据来校准和验证。总而言之，这项研究将大大增强我们对智能手机收集的寿命特征的理解。智能手机数据处理的模板不仅将受益于老年患者的临床干预，而且还将促进对患者在各种健康状况下的空间行为的理解。