Improving Patient Health In Smart Healthcare Monitoring Systems Using Iot

Abstract

In recent years, healthcare monitoring systems with advanced technologies have become a source of great anxiety for different countries worldwide. The healthcare system provides a report card of our health at regular intervals of time. The proposed smart health care monitoring system monitors the patient's health condition and updates the same to the neighbours and doctors by using IoT technology. It addresses blood pressure, oxygen concentration in our blood, heart rate, and atmospheric pressure. The proposed system contains several sensors which are responsible for complete patient health monitoring. The system generates and stores useful continuous health data. After storing the health data in the cloud, the data has to be pre-processed and then generated into one report which includes the status of the health condition of the corresponding patient. The system reduces the cost of the treatment because patient needn't to come daily to take readings of body temperature, SpO 2 etc. The system is basically wireless so we can embed at any location and the doctors and healthcare monitors can collects a data from any remote location. The major advantage of the system is more than one doctors collect the data from the cloudIoT at the same time. The system contains wireless sensors and application for displaying report of the person at each interval of time. It is very useful for the person who is living away from hospital or any remote location. It reduces time for the doctor so that they can attend more patients. In this paper, we used appropriate sensors which collect the appropriate data, so it is very useful for the doctor who analyses the data and predict the diseases. The proposed system used MQTT (Message Queuing Telemetry transport) as a connectivity protocol as well as I2C (Inter Integrated Circuit). Here we used C, C++, and Arduino IDE as well open source IOT platform i.e., Ubidots. In this paper, we used experimental modal analysis system where the natural frequencies like heart rate, body temperature, ECG etc. are adopted as the observations. © 2022 IEEE.