Next Article in Journal
Fast and Sensitive Ellipsometry-Based Biosensing
Previous Article in Journal
Quantified, Interactive Simulation of AMCW ToF Camera Including Multipath Effects
Previous Article in Special Issue
Improving Night Time Driving Safety Using Vision-Based Classification Techniques
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(1), 17; https://doi.org/10.3390/s18010017

Design and Development of a Wearable Device for Heat Stroke Detection

Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University No. 75, Shiyuan Rd., Daxi District, Tauyuan City 33551, Taiwan
*
Author to whom correspondence should be addressed.
Received: 31 October 2017 / Revised: 18 December 2017 / Accepted: 19 December 2017 / Published: 22 December 2017
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
View Full-Text   |   Download PDF [8675 KB, uploaded 26 December 2017]   |  

Abstract

Heat stroke can be potentially damaging for people while exercising in hot environments. To prevent this dangerous situation, we designed a wearable heat-stroke-detection device (WHDD) with early notification ability. First, we used several physical sensors, such as galvanic skin response (GSR), heart beat, and body temperature, to acquire medical data from exercising people. In addition, we designed risk evaluation functional components that were based on fuzzy theory to detect the features of heat stroke for users. If a dangerous situation is detected, then the device will activate the alert function to remind the user to respond adequately to avoid heat stroke. View Full-Text
Keywords: wearable devices; heat stroke; biosensor; fuzzy theory wearable devices; heat stroke; biosensor; fuzzy theory
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Chen, S.-T.; Lin, S.-S.; Lan, C.-W.; Hsu, H.-Y. Design and Development of a Wearable Device for Heat Stroke Detection. Sensors 2018, 18, 17.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top