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Health sensing by wearable sensors and mobile phones: A survey

机译:可穿戴式传感器和手机对健康的感知:一项调查

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With the global trend of population aging in industrialized countries, efficient information and communication technologies (ICT) for aiding elders or patients' healthcare have attracted great research attentions. Among these technologies, health state sensing by wearable sensors and mobile phones is an important foundation. It monitors the real-time body states; stores, or sends the result to remote family members or doctors. In this way, it can either help people to pay more attention to the overlooked phenomenon, such as the clue of dangerous disease, or help people to issue panic alert when emergency happens. There are many critical issues in health sensing. First, the sensors must be non-intrusive to people's comfort and safety, while providing good accuracy. At the same time, because of being worn by people, numerous noises posed by body motions must be efficiently processed for reducing false alarming. At last, different health or decease signals generally require different sensing technologies and instrument. To tease out the technology advantages that address these challenges and diversities, this paper presented a survey on the state of the art of health sensing technologies using body sensor networks and mobile phones. It classify related works by their application goals, including i) fall detection, ii) gait analyzing, iii) activity qualification, iv) heart state sensing, and v) sleep sensing. It also conducts summary and comparison of related sensing systems and algorithms, to reveal the development lines in each subarea.
机译:随着工业化国家人口老龄化的全球趋势,用于帮助老年人或患者的医疗保健的有效信息和通信技术(ICT)引起了极大的研究关注。在这些技术中,通过可穿戴式传感器和移动电话进行的健康状态感测是重要的基础。它监视实时身体状态;存储或将结果发送给远程家庭成员或医生。这样,它既可以帮助人们更多地关注被忽视的现象,例如危险疾病的线索,也可以帮助人们在紧急情况发生时发出恐慌警报。健康感测中有许多关键问题。首先,传感器必须在不影响人的舒适性和安全性的同时提供良好的精度。同时,由于人为佩戴,必须有效地处理由人体运动引起的大量噪声,以减少误报。最后,不同的健康或死亡信号通常需要不同的传感技术和仪器。为了梳理应对这些挑战和多样性的技术优势,本文对使用人体传感器网络和移动电话进行的健康传感技术的现状进行了调查。它按应用目标对相关作品进行分类,包括i)跌倒检测,ii)步态分析,iii)活动资格,iv)心态感知和v)睡眠感知。它还对相关的传感系统和算法进行了总结和比较,以揭示每个分区的开发路线。

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