A Review of Recent Advances in Vital Signals Monitoring of Sports and Health via Flexible Wearable Sensors

可穿戴计算机 可穿戴技术 计算机科学 领域(数学) 生命体征 人机交互 嵌入式系统 医学 数学 外科 纯数学
作者
Wenbin Sun,Zilong Guo,Zhiqiang Yang,Yizhou Wu,Weixia Lan,Yingjie Liao,Xian Wu,Yuanyuan Liu
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:22 (20): 7784-7784 被引量:53
标识
DOI:10.3390/s22207784
摘要

In recent years, vital signals monitoring in sports and health have been considered the research focus in the field of wearable sensing technologies. Typical signals include bioelectrical signals, biophysical signals, and biochemical signals, which have applications in the fields of athletic training, medical diagnosis and prevention, and rehabilitation. In particular, since the COVID-19 pandemic, there has been a dramatic increase in real-time interest in personal health. This has created an urgent need for flexible, wearable, portable, and real-time monitoring sensors to remotely monitor these signals in response to health management. To this end, the paper reviews recent advances in flexible wearable sensors for monitoring vital signals in sports and health. More precisely, emerging wearable devices and systems for health and exercise-related vital signals (e.g., ECG, EEG, EMG, inertia, body movements, heart rate, blood, sweat, and interstitial fluid) are reviewed first. Then, the paper creatively presents multidimensional and multimodal wearable sensors and systems. The paper also summarizes the current challenges and limitations and future directions of wearable sensors for vital typical signal detection. Through the review, the paper finds that these signals can be effectively monitored and used for health management (e.g., disease prediction) thanks to advanced manufacturing, flexible electronics, IoT, and artificial intelligence algorithms; however, wearable sensors and systems with multidimensional and multimodal are more compliant.
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