As a new revolution of Ubiquitous Computing and Internet of Things, multimodal wearable intelligence technique is rapidly becoming a new research topic in both academic and industrial fields. Owning to the rapid spread of wearable and mobile devices, this technique is evolving healthcare from traditional hub-based systems to more personalised healthcare systems. This trend is well-aligned with recent “Healthcare 4.0” which is a continuous process of transforming the entire healthcare value chain to be preventive, precise, predictive and personalised, with significant benefits to elder care. But empowering the utility of multimodal wearable intelligence technique for elderly care like people with dementia is significantly challenging considering many issues, such as shortage of cost-effective wearable sensors, heterogeneity of wearable devices connected, high demand for interoperability, etc. Focusing on these challenges, this paper gives a systematic review of advanced multimodal wearable intelligence technologies for dementia care in Healthcare 4.0. One framework is proposed for reviewing the current research of wearable intelligence, and key enabling technologies, major applications, and successful case studies in dementia care, and finally points out future research trends and challenges in Healthcare 4.0.

作为泛在计算和物联网的新革命，多模态可穿戴智能技术正迅速成为学术和工业领域的新研究课题。由于可穿戴设备和移动设备的迅速普及，这项技术正在将医疗保健从传统的基于中心的系统发展为更加个性化的医疗保健系统。这一趋势与最近的“医疗 4.0”非常吻合，后者是将整个医疗保健价值链转变为预防性、精确性、预测性和个性化的持续过程，对老年人护理有重大好处。但是，考虑到许多问题，例如缺乏具有成本效益的可穿戴传感器、可穿戴设备连接的异构性、对互操作性的高需求等。针对这些挑战，本文系统回顾了医疗保健 4.0 中用于痴呆症护理的先进多模式可穿戴智能技术。提出了一个框架来回顾当前可穿戴智能的研究、关键使能技术、主要应用和痴呆症护理的成功案例研究，最后指出医疗保健 4.0 的未来研究趋势和挑战。