Research and Commercialization Progress of Wearable Multiphysiological Parameter Sensors

ABSTRACT Clinical diagnosis and treatment of patients can be carried out by measuring human physiological parameters such as pulse wave, blood pressure, blood flow rate, body temperature, and sweat. By wearing more sensors, people can monitor their physiological indicators in their daily lives, which plays a key role in the early detection and diagnosis of diseases. This review mainly outlines the research on wearable physiological signal detection devices in the last five years and the commercial physiological signal detection devices that are commonly used today. There are three main aspects: pulse wave signal, blood flow rate signal detection, and sweat signal detection. In terms of pulse wave signal detection, we reviewed piezoelectric, piezoresistive, triboelectric, capacitive, magnetoelasticity, and photoplethysmographic methods. In terms of blood flow velocity detection, a review of noninvasive blood flow velocity detection devices based on the ultrasonic Doppler frequency shift principle is presented in this section. In terms of sweat signal detection, a review of sweat collection and analysis devices is presented, mainly from the perspective of sweat electrolytes, lactate glucose, and other markers. This review aims to introduce and summarize the latest monitoring technologies for wearable sensors and provide technical references and support for further research.

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Publication Details

Journal
Advanced Materials Technologies
Published
2026-02-22
DOI
https://doi.org/10.1002/admt.202502287
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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Research and Commercialization Progress of Wearable Multiphysiological Parameter Sensors

Bojing Shi, Pengrui Zhu, Hongju Zheng, Yifan Liu
Advanced Materials Technologies
Advanced Sensor and Energy Harvesting Materials
article

Research and Commercialization Progress of Wearable Multiphysiological Parameter Sensors

Bojing Shi, Pengrui Zhu, Hongju Zheng, Yifan Liu
article en

Abstract

ABSTRACT Clinical diagnosis and treatment of patients can be carried out by measuring human physiological parameters such as pulse wave, blood pressure, blood flow rate, body temperature, and sweat. By wearing more sensors, people can monitor their physiological indicators in their daily lives, which plays a key role in the early detection and diagnosis of diseases. This review mainly outlines the research on wearable physiological signal detection devices in the last five years and the commercial physiological signal detection devices that are commonly used today. There are three main aspects: pulse wave signal, blood flow rate signal detection, and sweat signal detection. In terms of pulse wave signal detection, we reviewed piezoelectric, piezoresistive, triboelectric, capacitive, magnetoelasticity, and photoplethysmographic methods. In terms of blood flow velocity detection, a review of noninvasive blood flow velocity detection devices based on the ultrasonic Doppler frequency shift principle is presented in this section. In terms of sweat signal detection, a review of sweat collection and analysis devices is presented, mainly from the perspective of sweat electrolytes, lactate glucose, and other markers. This review aims to introduce and summarize the latest monitoring technologies for wearable sensors and provide technical references and support for further research.

Advanced Materials Technologies
Beihang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 48%
Advanced Sensor and Energy Harvesting Materials
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Research and Commercialization Progress of Wearable Multiphysiological Parameter Sensors — Bojing Shi, Pengrui Zhu, et al. · Advanced Materials Technologies (2026) | TGRS Research Map | TGRS