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    • IoT and BSN Applications for Real Time Monitoring and Disease Prediction

    Jaishree Meena, Vivek Shukla, Amit Jain,Vishan Kumar Gupta,Paras Jain

    2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 40（2024）

    Amity School of Biological Science

    Cited 0|Views0
    Abstract
    IoT applications have been applied to health areas, so in the most advanced healthcare application environment, using them makes medical professionals and patients’ lives easier. BSN (Body Sensor Network) technology is essential to the Internet of Things (IoT) in the healthcare system because it allows for the use of low-power, lightweight wireless sensor nodes to monitor patients. Healthcare systems utilizing BSN and IoT technologies are the subject of this paper. There are several sensors in this system, including blood pressure, temperature, and pulse rate sensors. The controller receives the data from these sensors after they have detected the parameters. When the temperature rises above the specified range, the buzzer will sound, per the conditions. For display on the LCD, it transports the sensed data. Doctors receive data via the internet at the same time, enabling them to provide prompt, appropriate solutions in real time. Many patients endure suffering because of not receiving prompt, appropriate assistance and solutions to their problems. Thus, the suggested system aids in an emergency and a real-time solution. Because this system is portable, it can be carried around by an individual. As a result, ongoing health monitoring is feasible. Moreover, the system uses a variety of supervised learning algorithms to forecast the illness for a specific patient based on their current reading.
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    Key words
    IoT,BSN,fuzzy logic,prediction,machine learning,healthcare
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