Wearable Heat Stroke Detection System in IoT-based Environment
Teo Wil Son, Dzati Athiar Ramli, Azniza Abd Aziz
Abstract
Increase in global temperature recently has led to heat stroke which can greatly harm the human body. This paper studies the development of a wearable IoT-based heat stroke detection device. This device measured heartbeat rate, surrounding temperature, relative humidity and core body temperature by using several sensors. It generated heat stroke risk level via Fuzzy controller and an alert module alerted the user. The IoT part of this invention has included ThingSpeak server and an android application to store, visualize and display physiological data numerically and graphically. There was 5-phase performance test carried out and the phases of the test were standing, walking, running, walking and standing to evaluate device performance. The results showed that thermal heat stroke risk coefficient (THSRC) was the main factor in the detection of potential heat stroke followed by the other two factors which were core body temperature and heartbeat rate. Based on the results, it is concluded that this device is capable to detect potential heat stroke and alert the user early before any occurrence of heat stroke. It can be inferred that the potential heat stroke will only be detected when the heat stroke risk level is above 25 under the conditions of THSRC of above 37.5, core body temperature of above 38.5 degree Celsius and heartbeat rate of above 135 beats per minute. As an advantage, this wearable IoT-based heat stroke detection device enables user to carry out any activity in hot environment without any worries of being stricken with the heat stroke as the device will immediately alert the user first whenever there is potential heat stroke detected.