摘  要

人口的老龄化，慢性疾病的普遍蔓延以及传染性疾病的爆发是当今社会面临的主要挑战。为了满足人们日益增长的医疗需求，尤其是对于重大疾病早期防治的需求，作为涉及卫生信息的获得，传播，加工，储存，检索以及使用的卫生信息学，已然成为跨领域研究中的一个活跃学科。人们通过可佩戴的传感装置即可获得健康类信息，这一方法，则被认为是该学科的基础。人们可以在日常生活中随处获得卫生信息，因为传感器已经可以完全渗透到人们的服装，配饰以及日常生活环境中去。它甚至能够直接安装或者以电子纹身的形式安装在人们的皮肤上，从而实现对人体健康的长期监控。本文主要概述了对普及健康信息起着至关重要作用的四种新兴可佩戴传感技术，即1) 不易觉察的传感方法；2) 智能的纺织技术，3) 弹性灵活、可伸展、可印刷的电子产品；4) 传感器的融合技术，进而指出这一领域的未来研究方向。

ABSTRACT

The aging population, prevalence of chronic diseases, and outbreaks of infectious diseases are some of the major challenges of our present-day society. To address these unmet healthcare needs, especially for the early prediction and treatment of major diseases, health informatics, which deals with the acquisition, transmission, processing, storage, retrieval, and use of health information, has emerged as an active area of interdisciplinary research. In particular, acquisition of health-related information by unobtrusive sensing and wearable technologies is considered as a cornerstone in health informatics. Sensors can be weaved or integrated into clothing, accessories, and the living environment, such that health information can be acquired seamlessly and pervasively in daily living. Sensors can even be designed as stick-on electronic tattoos or directly printed onto human skin to enable long-term health monitoring. This paper aims to provide an overview of four emerging unobtrusive and wearable technologies, which are essential to the realization of pervasive health information acquisition, including: 1) unobtrusive sensing methods; 2) smart textile technology; 3) flexible-stretchable-printable electronics, and 4) sensor fusion, and then to identify some future directions of research.

专家简介

张元亭，博士，教授。目前担任香港中文大学生物医学工程联合研究中心主任、并兼任中国科学院健康信息学重点实验室主任、中国科学院深圳先进技术研究院名誉首席科学家、生物医学与健康工程研究所创所所长。曾任IEEE出版的生物医学工程系列丛书编委会成员，IEEE-EMBS穿戴式系统与传感器技术委员会委员，国际神经工程与康复杂志编委，IEEE生物医学信息技术学报主编，及IEEE生物医学与健康信息学学报创刊主编。(来源：百度百科)。

其他相关研究

An integral sampler for analog-to-information converter, 《2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)》, 2012年

An improved scheme of IPI-based entity identifier generation for securing body sensor networks, 《Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE》, 2011年

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