HEALTHCARE MONITORING SYSTEM AND TRANSFORMING MONITORED DATA INTO REAL TIME CLINICAL FEEDBACK BASED ON IoT USING RASPBERRY PI

Abstract

In recent decade significantly rise in chronic diseases and ageing population ratio in world, demand efficient Health monitoring system (HMS) for comfort of people. This approach is not only cost effective but also a feasible alternative to traditional healthcare. The aged peoples and patients having chronic diseases refrain visit to health institutions (hospitals and nursing homes etc.) as a result it reduces burden on health institutions. In this paper we proposed IoT-based, intelligent HMS which continuously monitors patient’s health parameters like blood pressure, heart beat and ECG. Data from blood pressure sensor, heart rate sensor and ECG sensor automatically monitored by Arduino UNO and Pi-camera attached to raspberry pi for video. Arduino UNO sends sensor data to raspberry pi which fed data to server’s database using Wi-Fi, finally server sent data to webpage, which updates every 2 minutes. Doctor access data anywhere using internet and give feedback accordingly using text.

Existing System

LM35 sensors interfaced with PIC16F887A microcontroller

Proposed System

Personal health monitoring systems must be portable hence they need to be small, lightweight and low powered. The system comprising of cheap-yet-serviceable, powerful Single board minicomputer Raspberry Pi and small microcontroller board Arduino. Data sense by ECG and pulse sensors are analog in nature and temperature sensor data is digital in nature. All the sensors data are fetched to Arduino UNO through its analog and digital pins and then transferred to Raspberry pi using USB cable which connects these two devices. A 5-megapixel raspberry pi camera is used for video purpose which is directly connected to raspberry pi. All the sensors data consecutively being read by Raspberry pi after every two minutes and continuously record the video of patient using pi camera. Raspberry pi 2 uploads the data (sensors data + Video + Chat) to the server through Wi-Fi dongle where data is being stored in its data base of server. Data from server side is transferred to the Dynamic Webpage which is accessible to the doctor from anywhere using internet. The doctor logs in to the website using a personalized password from a remote location, where he can see the patient continuously and advice to the staff accordingly using chat and gestures. The doctor has no rights to change anything in the data; he acts as on observant and medical advisor.

Architecture

BLOCK DIAGRAM