Analyzing Patient Health Information Based on IoT Sensors with AI

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P. Chandra Prakash Reddy, K. Prashanth, T. Sai Chandana, J. Srikanth

Abstract

The IOT devices utilizes the several sensor devices that are able to collect a large volume of data in different domains which are processed by AI techniques to make the decision about the assistance problems. Among several applications, in our project, IOT with AI is used to examine the healthcare sectors to improve patient assistance and patient care in the future direction. An IOT sensor with AI is used to predict the exact patient details such as fitness tracker, medical reports, health activity, body mass, temperature, and other health care information which helps to choose the right assistance process. The patient information which is shared in the cloud environment is accessed and processed by applying the optimized machine learning techniques. It further examines the patient’s details from the previous health information which helps to predict the exact patient health condition in the future direction. In this system, doctor and care takers can observe patient without exactly visiting the patient actually.


 We proposed a nonstop checking and control instrument to screen the patient condition and store the patient information in sever utilizing Wi-Fi Module based remote correspondence. And furtherly they can upload medicines and medical reports on the web server which after can be accessed by the patient anywhere at anytime. It is very much easy process and convenient for both the doctors and patients. The efficiency of IOT sensor with an AI-based health assistance prediction process is developed by using the MATLAB tool. Monitoring and recording of various medical parameters of patient outside hospitals has become widespread phenomena. The reason behind this project is to design a system for monitoring the patient’s body any time using internet connectivity. The function of this system is to measuring some biological parameter of the patient’s body like Temperature, Heartbeat, Blood pressure, by using sensors and the sensors will sense the body temperature, heartbeat and blood pressure of the patient and sends the values to IOT Cloud platform through WIFI-Module. All information about the patient health will be stored on the cloud ,it enables the doctors to monitor patient’s health, Where the doctor can contineously monitor the patient’s condition on his smart phone. This system is based on client server application in which server stores data collected from client, role of client is to collect proper data from patient & transfer it to server. A remote health monitoring system using IoT is proposed where the authorized personal can access these data stored using any IoT platform and based on these values received, the diseases are diagnosed by the doctors from a distance. The results showed that this project can effectively use WiFi technology to monitor patient health status. And the power consumption of Wi-Fi module can be reduced as much as possible

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How to Cite
P. Chandra Prakash Reddy, K. Prashanth, T. Sai Chandana, J. Srikanth. (2021). Analyzing Patient Health Information Based on IoT Sensors with AI. Annals of the Romanian Society for Cell Biology, 25(6), 15081 –. Retrieved from http://annalsofrscb.ro/index.php/journal/article/view/8538
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