用于监测运动和健康生命信号的可穿戴传感器:进展与展望

IF 1.6 4区 工程技术 Q3 INSTRUMENTS & INSTRUMENTATION Sensor Review Pub Date : 2024-04-16 DOI:10.1108/sr-02-2024-0080
Jinwei Zhao, Shuolei Feng, Xiaodong Cao, Haopei Zheng
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引用次数: 0

摘要

设计/方法/途径近几十年来,用于监测运动和健康中生命信号的可穿戴传感器取得了巨大进步。生命信号包括心电图、脑电图、肌电图、惯性数据、身体运动、心率以及血液和出汗等体液,因此是传感设备的良好选择。研究结果本报告综述了有关生命信号监测可穿戴传感器的著名期刊文章,重点关注设备的结构、精度和性质等多模式和多维度的综合能力,这可能会提供一种更通用、更全面的解决方案。独创性/价值 本文提供了该领域目前存在的障碍和挑战的基本信息,并提供了用于检测这些关键信号的可穿戴传感器的未来发展方向。重要的是,现代制造技术、可拉伸电子设备、物联网和人工智能算法的应用显然大大提高了有效监测和利用这些信号进行人体健康监测(包括疾病预测)的能力。
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Wearable sensors for monitoring vital signals in sports and health: progress and perspective

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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来源期刊
Sensor Review
Sensor Review 工程技术-仪器仪表
CiteScore
3.40
自引率
6.20%
发文量
50
审稿时长
3.7 months
期刊介绍: Sensor Review publishes peer reviewed state-of-the-art articles and specially commissioned technology reviews. Each issue of this multidisciplinary journal includes high quality original content covering all aspects of sensors and their applications, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of high technology sensor developments. Emphasis is placed on detailed independent regular and review articles identifying the full range of sensors currently available for specific applications, as well as highlighting those areas of technology showing great potential for the future. The journal encourages authors to consider the practical and social implications of their articles. All articles undergo a rigorous double-blind peer review process which involves an initial assessment of suitability of an article for the journal followed by sending it to, at least two reviewers in the field if deemed suitable. Sensor Review’s coverage includes, but is not restricted to: Mechanical sensors – position, displacement, proximity, velocity, acceleration, vibration, force, torque, pressure, and flow sensors Electric and magnetic sensors – resistance, inductive, capacitive, piezoelectric, eddy-current, electromagnetic, photoelectric, and thermoelectric sensors Temperature sensors, infrared sensors, humidity sensors Optical, electro-optical and fibre-optic sensors and systems, photonic sensors Biosensors, wearable and implantable sensors and systems, immunosensors Gas and chemical sensors and systems, polymer sensors Acoustic and ultrasonic sensors Haptic sensors and devices Smart and intelligent sensors and systems Nanosensors, NEMS, MEMS, and BioMEMS Quantum sensors Sensor systems: sensor data fusion, signals, processing and interfacing, signal conditioning.
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