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Journal Article

Citation

Lin SS, Lan CW, Hsu HY, Chen ST. Sensors (Basel) 2018; 18(12): s18124347.

Affiliation

Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University No. 75, Shiyuan Rd., Daxi District, Taoyuan City 33551, Taiwan. iiccanffly@gmail.com.

Copyright

(Copyright © 2018, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s18124347

PMID

30544887

Abstract

When exercising in a high-temperature environment, heat stroke can cause great harm to the human body. However, runners may ignore important physiological warnings and are not usually aware that a heat stroke is occurring. To solve this problem, this study evaluates a runner's risk of heat stroke injury by using a wearable heat stroke detection device (WHDD), which we developed previously. Furthermore, some filtering algorithms are designed to correct the physiological parameters acquired by the WHDD. To verify the effectiveness of the WHDD and investigate the features of these physiological parameters, several people were chosen to wear the WHDD while conducting the exercise experiment. The experimental results show that the WHDD can identify high-risk trends for heat stroke successfully from runner feedback of the uncomfortable statute and can effectively predict the occurrence of a heat stroke, thus ensuring safety.


Language: en

Keywords

exercise experiment; filtering algorithm; heat stroke; physiological parameters

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