IOT BASED INTEGRATED SMART HEALTH CARE SYSTEM ON CLOUD COMPUTING

Electronics and Communication Engineering

NATIONAL CONFERENCE on VLSI, COMMUNICATION AND SIGNAL PROCESSING (NCVCS-2017)

Health is one of the global challenges for humanity. In the last decade the healthcare has drawn considerable amount of attention [1]. Technology plays the major role in healthcare not only for sensory devices but also in communication, recording and display device. It is very important to monitor various medical parameters and post operational days. Hence the latest trend in Healthcare communication method using IOT is adapted. Internet of things serves as a catalyst for the healthcare and plays prominent role in wide range of healthcare applications. The prime goal of the project is to develop a reliable patient monitoring system so that the healthcare professionals can monitor the patients who are hospitalized. Recently, the patient monitoring systems is one of the major advancements because of its improved technology. Currently, there is need for a modernized approach. In the traditional approach the healthcare professionals play the major role. They need to visit the patients ward for necessary diagnosis and advising. The basic problem associated with traditional approach is, the healthcare professionals must be present on site of the patient all the time, to know the status regularly during critical conditions. In order to solve this problem, there is a need to develop a reliable patient monitoring system so that the healthcare professionals can monitor their patient’s remotely. The project presents a mobile device based wireless healthcare monitoring sys- tem that can provide real time online information about physiological conditions of a patient. In this project, Raspberry pi is used as an integral part for processing and sensors like Temperature, Pulse/Heart rate and PIR are used. These sensors are connected to Arduino board and the sensor values are read from the Arduino and transmitted to pi through serial communication. Now, the sensor values are stored in a file in pi and the same file is uploaded to the cloud through internet. Finally, this uploaded data is retrieved via user app.

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