An Intelligent Wristband for Simultaneous Multiparameter Measurement during Fumigation and Washing Therapy of Traditional Chinese Medicine

Author:

Li Yuanfang12,Tang Hao12,Qiao Yancong12,Liu Haidong12,Deng Zhikang12,Xia Hong-qi3,Zhou Jianhua12ORCID

Affiliation:

1. School of Biomedical Engineering Shenzhen Campus of Sun Yat-sen University Shenzhen 518107 China

2. Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province School of Biomedical Engineering Sun Yat-sen University Guangzhou 510275 China

3. Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization Ministry of Agriculture and Rural Affairs Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of Tropical and Subtropical Fruit Tree Research Guangzhou 510640 China

Abstract

Traditional Chinese medicine (TCM) is one of the oldest healing systems, which plays an essential role in daily health management. However, TCM is frequently controversial due to its subjectivity and lack of scientific quantification. Modern sensing technologies, enabling the detection of various physiological signals, have the remarkable performance of multifunctionality, superintegration, and ultraminiaturization. Combining with modern sensing technology is a good opportunity for the modernization, objectification, and scientization of TCM. This article proposes an intelligent wristband for simultaneous multiparameter measurement of pulse, skin temperature, and perspiration, essential physiological signals in TCM. As a significant functional material, a carbon nanotube/poly(dimethylsiloxane) nanocomposite with 3D interpenetrating network structures exhibits great electrical conductivity, stress effect, and thermoresistive effect, ensuring intelligent wristband's high accuracy, high sensitivity, and good stability for pulse and temperature measurements. Furthermore, the perspiration sensing unit is also integrated. The as‐prepared intelligent wristband is applied during fumigation and washing therapy, and artificial intelligence is introduced to judge whether the user is during fumigation and washing therapy or in the resting state by classifying the user's physiological state, with an accuracy of up to 100%. This work offers a unique strategy for TCM and wearable sensing technology with an important practical significance.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

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