Abstract:

In this work, a non-invasive, selective brain cooling device is designed and manufactured. Thermoelectric cooling elements were used and fitted inside the proposed helmet as cooling means for the head. The thermoelectric was cooled using water circulation to make the proposed system provide a long operational time and maintain the system's cooling rate. NTC temperature sensors are used to collect a patient’s temperature at four locations; inside the ears and on artery temporal. By utilizing four sensors for temperature measurement, any error that can occur will have less impact on the whole system's intended performance. Arduino microcontroller and Raspberry Pi are used for data processing and visualization. The Raspberry Pi is used to create a server running Node-Red software, where the data will be published to the local Wi-Fi network and the internet using MQTT protocol. The proposed ABHS achieved two main points; first, the developed helmet is flexible and weight about 1.2 Kg, which make it suitable for all ages, second the designed watercooling system kept the system cooling rate at maximum throughout the time required for the system to operate which is between 24 to 72 hours.

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