Wearable sensors for monitoring vital signals in sports and health: progress and perspective

Author:

Zhao Jinwei,Feng Shuolei,Cao Xiaodong,Zheng Haopei

Abstract

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.

Publisher

Emerald

Reference184 articles.

1. 3D printing silicone elastomer for patient‐specific wearable pulse oximeter;Advanced Healthcare Materials,2020

2. Magnetic tactile sensor for braille reading;IEEE Sensors Journal,2016

3. Bending analysis of polymer-based flexible antennas for wearable, general IoT applications: a review;Polymers (Basel).,2021

4. A portable optical human sweat sensor;J. Appl. Phys,2014

5. Using wearable physiological sensors for affect-aware intelligent tutoring systems;IEEE Sens. J.,2020

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