Abstract
IoT evolution plays an important role in healthcare applications for data sharing and patient monitoring systems. Patient related information is to be stored securely in health care data management system. By using this database management systems, patient status can be estimated. To identify the quality of analytical data, which is collected from healthcare sensors based on the trail sets. In our proposed system, we used a PI sensor for better results and it will continuously update the information about the patient to the server by using Message Queue Telemetry Transfer (MQTT) protocol. Massive sensors receives the condition of both current health conditions and previous health condition and that will be compared. If any changes found, it will immediately give the alert to the doctor and to the care taker. Machine to Machine (M2M) communication has been established to transfer the data with very high speed. Due to high speed connectivity, the result of patient monitoring will be very accurate and the patient’s life can be saved without any delay.
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Anna Palagan, C., Soundara Rajan, K. (2020). A Novel for Analytical Healthcare Using Message Queue Telemetry Transfer. In: Balaji, S., Rocha, Á., Chung, YN. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-030-28364-3_14
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DOI: https://doi.org/10.1007/978-3-030-28364-3_14
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