IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art
IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art
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DOI：
10.1016/j.jnca.2020.102873
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发表时间：
2021-01-01
影响因子：
8.7
通讯作者：
Alsalem, M. A.
中科院分区：
文献类型：
--
作者：
Albahri, A. S.;Alwan, Jwan K.;Alsalem, M. A.
许多研究都集中在通过物联网（IoT）技术使远程医疗变得智能。这些工作涵盖广泛的研究领域，以增强远程医疗架构，如网络通信，人工智能方法和技术，物联网可穿戴传感器和硬件设备，智能手机和云计算。因此，一些涵盖各种人类疾病的远程医疗应用从特定的角度展示了他们的工作，并导致了对物联网特性的混淆。尽管这些应用对于改善与监测、检测和诊断相关的远程医疗环境是有用和必要的，但很难全面了解物联网特征目前如何与远程医疗架构集成。因此，这项研究补充了学术文献的系统性综述，涵盖了基于物联网的远程医疗架构的所有主要方面的进展。本研究还提供了物联网下最先进的远程医疗分类法，并回顾了与该分类相关的不同领域的工作。为此，本研究检查了ScienceDirect，电气和电子工程师协会（IEEE）Xplore和Web of Science数据库。2014年至2020年7月，共收集论文2121篇。根据规定的纳入标准对检索到的文章进行筛选。最后选出了141篇文章，分为两类，每一类后面是亚类和章节。第一类包括基于物联网的远程医疗网络，占24.11%（n = 34/141）。第二类包括基于物联网的远程医疗服务和应用，占75.89%（n = 107/141）。这种多领域的系统性审查暴露了新的研究机会，动机，建议和挑战，需要注意跨学科工作的协同整合。这项广泛的研究还列出了一组开放的问题，并提供了创新的关键解决方案沿着系统的审查。基于物联网的远程医疗的疾病分类分为14组。此外，交叉在我们的分类证明。首次绘制了基于物联网的远程医疗保健应用的上下文生命周期，包括每个上下文的程序排序和定义。我们相信，这项研究是一个有用的指导研究人员和从业人员在未来的研究提供方向和有价值的信息。这项研究还可以解决基于物联网的远程医疗趋势的模糊性。
Numerous studies have focused on making telemedicine smart through the Internet of Things (IoT) technology. These works span a wide range of research areas to enhance telemedicine architecture such as network communications, artificial intelligence methods and techniques, IoT wearable sensors and hardware devices, smartphones and cloud computing. Accordingly, several telemedicine applications covering various human diseases have presented their works from a specific perspective and resulted in confusion regarding the IoT characteristics. Although such applications are useful and necessary for improving telemedicine contexts related to monitoring, detection and diagnostics, deriving an overall picture of how IoT characteristics are currently integrated with the telemedicine architecture is difficult. Accordingly, this study complements the academic literature with a systematic review covering all main aspects of advances in IoT-based telemedicine architecture. This study also provides a state-of-the-art telemedicine classification taxonomy under IoT and reviews works in different fields in relation to that classification. To this end, this study checked the ScienceDirect, Institute of Electrical and Electronics Engineers (IEEE) Xplore, and Web of Science databases. A total of 2121 papers were collected from 2014 to July 2020. The retrieved articles were filtered according to the defined inclusion criteria. A final set of 141 articles were selected and classified into two categories, each followed by subcategories and sections. The first category includes an IoT-based telemedicine network that accounts for 24.11% (n = 34/141). The second category includes IoT-based telemedicine healthcare services and applications that account for 75.89% (n = 107/141). This multi-field systematic review has exposed new research opportunities, motivations, recommendations and challenges that need attention for the synergistic integration of interdisciplinary works. This extensive study also lists a set of open issues and provides innovative key solutions along with a systematic review. The classification of diseases under IoT-based telemedicine is divided into 14 groups. Furthermore, the crossover in our taxonomy is demonstrated. The lifecycle of the context of IoT-based telemedicine healthcare applications is mapped for the first time, including the procedure sequencing and definition for each context. We believe that this study is a useful guide for researchers and practitioners in providing direction and valuable information for future research. This study can also address the ambiguity in the trends in IoT-based telemedicine.