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Sensor-Based Smart Clothing for Women’s Menopause Transition Monitoring

by 1, 2,* and 3
School of Fine Art and Artistic Design, Guangzhou University, Guangzhou 510006, China
School of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China
Donghuzhou Primary School, Guangzhou 511400, China
Author to whom correspondence should be addressed.
Sensors 2020, 20(4), 1093;
Received: 15 January 2020 / Revised: 14 February 2020 / Accepted: 15 February 2020 / Published: 17 February 2020
(This article belongs to the Special Issue Smart Sensors for eHealth Applications)
Aging women usually experience menopause and currently there is no single diagnosing highly-sensitive and -specific test for recognizing menopause. For most employed women at their perimenopause age it is not convenient to visit a clinic for the hormone test, which lasts for consecutive days. This paper develops a suit of sensor-based smart clothing used for home-based and ambulatory health monitoring for women’s menopause transition. Firstly, a survey analysis is conducted to determine the biological signals measured by sensors for indicating the symptoms of menopausal transition and also the body areas with salient symptoms to implant the sensors on the clothing. Then, the smart clothing is designed with a set of temperature and relative humidity sensors on different locations and with a microcontroller to transmit the measured data to the computer. With the smoothed data as input, a new detection algorithm for hot flashes is proposed by recognition of the concurrent occurrence of heat and sweating rise/down, and can figure out the frequency, intensity, and duration—triple dimension information of a hot flash, which is helpful to achieve precise diagnosis for menopausal transition. The smart clothing and the detection algorithm are verified by involving a group of women subjects to participate in a hot flash monitoring experiment. The experimental results show that this smart clothing monitoring system can effectively measure the skin temperature and relative humidity data and work out the frequency, duration, and intensity information of a hot flash pertaining in different body areas for individuals, which are accordant with the practice reported by the subjects. View Full-Text
Keywords: menopause transition; smart clothing; sensors; detection algorithm menopause transition; smart clothing; sensors; detection algorithm
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MDPI and ACS Style

Luo, J.; Mao, A.; Zeng, Z. Sensor-Based Smart Clothing for Women’s Menopause Transition Monitoring. Sensors 2020, 20, 1093.

AMA Style

Luo J, Mao A, Zeng Z. Sensor-Based Smart Clothing for Women’s Menopause Transition Monitoring. Sensors. 2020; 20(4):1093.

Chicago/Turabian Style

Luo, Jie; Mao, Aihua; Zeng, Zhongwen. 2020. "Sensor-Based Smart Clothing for Women’s Menopause Transition Monitoring" Sensors 20, no. 4: 1093.

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