智能手表在远程健康监测中的应用调查。

IF 5.9 Q1 Computer Science Journal of Healthcare Informatics Research Pub Date : 2018-06-01 Epub Date: 2017-12-18 DOI:10.1007/s41666-017-0012-7
Christine E King, Majid Sarrafzadeh
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引用次数: 0

摘要

本系统综述根据应用领域对文献中基于智能手表的医疗保健应用进行了分类,并总结了可行的系统。为此,我们通过搜索 PubMed、EBSCOHost、Springer、Elsevier、Pro-Quest、IEEE Xplore 和 ACM 数字图书馆数据库,查找 1998 年至 2016 年间的文章,对经同行评议的与医疗保健相关的智能手表研究进行了系统综述。纳入标准为(1) 使用了智能手表;(2) 研究与医疗保健应用相关;(3) 研究是随机对照试验或试点研究;(4) 研究包括人体参与测试。每篇文章都根据其应用、人群类型、环境、研究规模、研究类型以及与智能手表技术相关的特征进行了评估。在筛选了 1,119 篇文章后,选出了 27 篇与医疗保健直接相关的文章。分类应用包括活动监测、慢性病自我管理、护理或家庭护理以及医疗保健教育。所有研究均被视为可行性或可用性研究,样本量有限。没有发现随机临床试验。此外,大多数研究使用的是基于安卓系统的智能手表,而不是基于 Tizen、定制或 iOS 系统的智能手表,而且许多研究依赖于使用加速度计和惯性传感器来阐明身体活动。研究结果表明,大多数关于智能手表的研究都是作为慢性病自我管理的可行性研究进行的。具体来说,这些应用针对的是惯性传感器可以轻松测量症状的各种疾病,如癫痫发作或步态障碍。总之,尽管智能手表在医疗保健领域大有可为,但要确定其在这些应用中的可接受性和有效性,还需要对更多人群进行大量研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A SURVEY OF SMARTWATCHES IN REMOTE HEALTH MONITORING.

This systematic review classifies smartwatch-based healthcare applications in the literature according to their application and summarizes what has led to feasible systems. To this end, we conducted a systematic review of peer-reviewed smartwatch studies related to healthcare by searching PubMed, EBSCOHost, Springer, Elsevier, Pro-Quest, IEEE Xplore, and ACM Digital Library databases to find articles between 1998 and 2016. Inclusion criteria were: (1) a smartwatch was used, (2) the study was related to a healthcare application, (3) the study was a randomized controlled trial or pilot study, and (4) the study included human participant testing. Each article was evaluated in terms of its application, population type, setting, study size, study type, and features relevant to the smartwatch technology. After screening 1,119 articles, 27 articles were chosen that were directly related to healthcare. Classified applications included activity monitoring, chronic disease self-management, nursing or home-based care, and healthcare education. All studies were considered feasibility or usability studies, and had limited sample sizes. No randomized clinical trials were found. Also, most studies utilized Android-based smartwatches over Tizen, custom-built, or iOS- based smartwatches, and many relied on the use of the accelerometer and inertial sensors to elucidate physical activities. The results show that most research on smartwatches has been conducted only as feasibility studies for chronic disease self-management. Specifically, these applications targeted various disease conditions whose symptoms can easily be measured by inertial sensors, such as seizures or gait disturbances. In conclusion, although smartwatches show promise in healthcare, significant research on much larger populations is necessary to determine their acceptability and effectiveness in these applications.

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来源期刊
Journal of Healthcare Informatics Research
Journal of Healthcare Informatics Research Computer Science-Computer Science Applications
CiteScore
13.60
自引率
1.70%
发文量
12
期刊介绍: Journal of Healthcare Informatics Research serves as a publication venue for the innovative technical contributions highlighting analytics, systems, and human factors research in healthcare informatics.Journal of Healthcare Informatics Research is concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights the most cutting-edge technical contributions in computing-oriented healthcare informatics.  The journal covers three major tracks: (1) analytics—focuses on data analytics, knowledge discovery, predictive modeling; (2) systems—focuses on building healthcare informatics systems (e.g., architecture, framework, design, engineering, and application); (3) human factors—focuses on understanding users or context, interface design, health behavior, and user studies of healthcare informatics applications.   Topics include but are not limited to: ·         healthcare software architecture, framework, design, and engineering;·         electronic health records·         medical data mining·         predictive modeling·         medical information retrieval·         medical natural language processing·         healthcare information systems·         smart health and connected health·         social media analytics·         mobile healthcare·         medical signal processing·         human factors in healthcare·         usability studies in healthcare·         user-interface design for medical devices and healthcare software·         health service delivery·         health games·         security and privacy in healthcare·         medical recommender system·         healthcare workflow management·         disease profiling and personalized treatment·         visualization of medical data·         intelligent medical devices and sensors·         RFID solutions for healthcare·         healthcare decision analytics and support systems·         epidemiological surveillance systems and intervention modeling·         consumer and clinician health information needs, seeking, sharing, and use·         semantic Web, linked data, and ontology·         collaboration technologies for healthcare·         assistive and adaptive ubiquitous computing technologies·         statistics and quality of medical data·         healthcare delivery in developing countries·         health systems modeling and simulation·         computer-aided diagnosis
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