Systematic review of smartphone-based passive sensing for health and wellbeing.
Systematic review of smartphone-based passive sensing for health and wellbeing.
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DOI：
10.1016/j.jbi.2017.12.008
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发表时间：
2018-01
影响因子：
4.5
通讯作者：
Holden RJ
中科院分区：
文献类型：
--
作者：
Cornet VP;Holden RJ
回顾已发表的关于使用基于智能手机的无源传感技术促进健康和福祉的经验文献。根据PRISMA指南对英文文献进行了系统综述。在计算、技术和医学数据库中编入索引的论文如果是经验性的，关注健康和/或福祉，涉及通过智能手机收集数据，并将所使用的技术描述为被动或需要最少的用户交互，则包括在内。35篇论文被纳入审查。研究在世界各地进行，样本多达171（中位数n=15），代表双相情感障碍、精神分裂症、抑郁症、老年人和一般人群。大多数研究使用Android操作系统和一系列智能手机传感器，最常见的是捕获加速度计，位置，音频和使用数据。捕获的数据通常被发送到远程服务器进行处理，但只有40%的研究与参与者共享。被动传感的好处包括准确地检测状态的变化，通过反馈改变行为，以及增加参与者的责任感。研究报告说，面临技术、方法和隐私方面的挑战。在基于智能手机的被动传感健康和福祉的新兴领域的研究显示出希望，并邀请继续研究和投资。现有的研究存在研究设计的弱点，缺乏反馈和临床整合，以及对隐私问题的关注不足。主要建议涉及制定与手头问题相匹配的被动传感策略，使用个性化干预措施，以及解决方法和隐私挑战。随着不断发展的无源传感技术为健康和福祉提供了新的可能性，额外的研究必须解决方法学，临床整合和隐私问题。这样做取决于信息学和临床专家之间的跨学科合作。
To review published empirical literature on the use of smartphone-based passive sensing for health and wellbeing. A systematic review of the English language literature was performed following PRISMA guidelines. Papers indexed in computing, technology, and medical databases were included if they were empirical, focused on health and/or wellbeing, involved the collection of data via smartphones, and described the utilized technology as passive or requiring minimal user interaction. Thirty-five papers were included in the review. Studies were performed around the world, with samples of up to 171 (median n=15) representing individuals with bipolar disorder, schizophrenia, depression, older adults, and the general population. The majority of studies used Android operating system and an array of smartphone sensors, most frequently capturing accelerometry, location, audio, and usage data. Captured data were usually sent to a remote server for processing but were shared with participants in only 40% of studies. Reported benefits of passive sensing included accurately detecting changes in status, behavior change through feedback, and increased accountability in participants. Studies reported facing technical, methodological, and privacy challenges. Studies in the nascent area of smartphone-based passive sensing for health and wellbeing demonstrate promise and invite continued research and investment. Existing studies suffer from weaknesses in research design, lack of feedback and clinical integration, and inadequate attention to privacy issues. Key recommendations relate to develop passive sensing strategies matching the problem at hand, using personalized interventions, and addressing methodological and privacy challenges. As evolving passive sensing technology presents new possibilities for health and wellbeing, additional research must address methodological, clinical integration, and privacy issues. Doing so depends on interdisciplinary collaboration between informatics and clinical experts.
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DOI：
10.1007/s10488-014-0556-2
发表时间：
2015-03
影响因子：
2.6
作者：
Ben-Zeev, Dror;Schueller, Stephen M.;Begale, Mark;Duffecy, Jennifer;Kane, John M.;Mohr, David C.
通讯作者：
Mohr, David C.
DOI：
10.1093/jamia/ocv200
发表时间：
2016-05-01
影响因子：
6.4
作者：
Abdullah, Saeed;Matthews, Mark;Choudhury, Tanzeem
通讯作者：
Choudhury, Tanzeem
影响因子：
7.4
作者：
Asselbergs J;Ruwaard J;Ejdys M;Schrader N;Sijbrandij M;Riper H
通讯作者：
Riper H
影响因子：
3.9
作者：
Boulos MN;Wheeler S;Tavares C;Jones R
通讯作者：
Jones R
影响因子：
4.3
作者：
Bhat, Sushanth;Ferraris, Ambra;Chokroverty, Sudhansu
通讯作者：
Chokroverty, Sudhansu