Autor: |
Sheng-Tao Chen, Shih-Sung Lin, Chien-Wu Lan, Hao-Yen Hsu |
Jazyk: |
angličtina |
Rok vydání: |
2017 |
Předmět: |
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Zdroj: |
Sensors, Vol 18, Iss 1, p 17 (2017) |
Druh dokumentu: |
article |
ISSN: |
1424-8220 |
DOI: |
10.3390/s18010017 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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