可穿戴计算机
可穿戴技术
杠杆(统计)
计算机科学
惯性测量装置
人机交互
物联网
工程类
嵌入式系统
人工智能
作者
Jinwei Zhao,Shuolei Feng,Xiaodong Cao,Haopei Zheng
出处
期刊:Sensor Review
[Emerald (MCB UP)]
日期:2024-04-13
卷期号:44 (3): 301-330
被引量:14
标识
DOI:10.1108/sr-02-2024-0080
摘要
Purpose This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics. Design/methodology/approach In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices. Findings This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution. Originality/value The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.
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