Marschollek Michael, Gietzelt Matthias, Schulze Mareike, Kohlmann Martin, Song Bianying, Wolf Klaus-Hendrik
Hanover Medical School, Peter L. Reichertz Institute for Medical Informatics, Hanover, Germany.
Healthc Inform Res. 2012 Jun;18(2):97-104. doi: 10.4258/hir.2012.18.2.97. Epub 2012 Jun 30.
Wearable sensor systems which allow for remote or self-monitoring of health-related parameters are regarded as one means to alleviate the consequences of demographic change. This paper aims to summarize current research in wearable sensors as well as in sensor-enhanced health information systems. Wearable sensor technologies are already advanced in terms of their technical capabilities and are frequently used for cardio-vascular monitoring. Epidemiologic predictions suggest that neuropsychiatric diseases will have a growing impact on our health systems and thus should be addressed more intensively. Two current project examples demonstrate the benefit of wearable sensor technologies: long-term, objective measurement under daily-life, unsupervised conditions. Finally, up-to-date approaches for the implementation of sensor-enhanced health information systems are outlined. Wearable sensors are an integral part of future pervasive, ubiquitous and person-centered health care delivery. Future challenges include their integration into sensor-enhanced health information systems and sound evaluation studies involving measures of workload reduction and costs.
可实现对健康相关参数进行远程或自我监测的可穿戴传感器系统被视为缓解人口结构变化影响的一种手段。本文旨在总结可穿戴传感器以及传感器增强型健康信息系统方面的当前研究。就技术能力而言，可穿戴传感器技术已经很先进，并且经常用于心血管监测。流行病学预测表明，神经精神疾病将对我们的卫生系统产生越来越大的影响，因此应更深入地加以应对。当前的两个项目实例展示了可穿戴传感器技术的益处：在日常生活、无人监督的条件下进行长期、客观的测量。最后，概述了实施传感器增强型健康信息系统的最新方法。可穿戴传感器是未来普及、无处不在且以人为主的医疗保健服务不可或缺的一部分。未来的挑战包括将它们集成到传感器增强型健康信息系统中，以及开展涉及工作量减少和成本衡量的可靠评估研究。
