The research group established an IoT laboratory within the framework of the Croatia Science Foundation starting grant, whose Principal Investigator is the proposed head of the research group. As part of the project, equipment for IoT sensors based on different radio technologies was acquired, with a special emphasis on medical applications such as several types of smart bracelets, EEG devices, indoor air quality sensors, etc. Numerous scientific papers were developed as part of the research work on topics of health aspects, and in addition the laboratory is equipped with equipment for RFID technology, HF and UHF signal generators, spectrum analyzer and software defined radio (SDR) systems, digital oscilloscope, personal and laptop computers, other sensor systems based on Arduino technology. The laboratory has 3D printing equipment as well as a system for the production of printed circuit boards.
Wearable devices such as smart bracelets, available on the market today, are used for various purposes offering numerous advantages and functions such as motion detection, heart rate monitoring, number of steps, blood oxygen saturation, alarm clock, wake up reminder, sleep monitoring, notifications and GPS positioning. Either through the motion detection or any of the other mentioned functions, the smart bracelet enables the monitoring of parameters closely related to the state of health, and the goal is to make the user’s life easier and simpler. In previous activities, the members of the research group measured the following vital parameters: body temperature or wrist temperature, heart rate, and blood oxygen level. Normal body temperature varies between 36.6°C and 37.2°C depending on weight, height, physical activity, weather and clothing. The normal pulse of an adult is between 60 and 100 beats per minute, and anything beyond that is considered an irregular heartbeat. The normal level of oxygen in the blood is over 90%. If the user’s blood oxygen level is below 90% for a long period of time, it means that he is suffering from hypoxia, which can be caused by: lung diseases, circulatory disorders or heart failure. All the parameters that are measured reflect the current condition of the person being monitored and significant changes in the parameters indicate that the health condition of the individual is changing.
Based on all of the above, there is a vast space for defining new forms of efficient, but affordable telemedicine. The goal of the project is to analyze the collected data and determine if there is an artificial intelligence algorithm that is able to understand changes in health status based on changes in vital parameters, and a previously known medical condition whose insight is also known.
Research covers the areas of IoT technologies, systems and applications for health needs. The aim is to conduct research in the field of Internet of Things (IoT) directed towards the search for energy-efficient solutions for sensor systems, the aim of which is to reduce consumption and thereby increase the lifespan of most battery-powered devices. Commercial IoT solutions as well as advanced IoT prototypes based on Low Power Wide Area technologies (e.g. LoRaWAN) and Bluetooth Low Energy (BLE) technology will be intensively tested. It is planned to develop models based on deep and machine learning techniques on the basis of which changes related to health aspects can be precisely detected.
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