Real time cloud based health monitoring system

IoT has come a long way in recent years and is well integrated within multiple industries, including the healthcare space. The continued implementation of IoT within healthcare will lead to a drastic increase in productivity and analysis of data. Advancements in technology in regard to medical devic

Project Title

Real time cloud based health monitoring system

Project Area of Specialization

Internet of Things

Project Summary

IoT has come a long way in recent years and is well integrated within multiple industries, including the healthcare space. The continued implementation of IoT within healthcare will lead to a drastic increase in productivity and analysis of data. Advancements in technology in regard to medical devices will improve patient outcomes with better analytics, and Global Data believes the IoT will expedite this process. In this project, we have proposed an intelligent patient monitoring system for monitoring the patients' health condition automatically through sensors based connected networks. Several sensors are used for gathering the biological behaviors of a patient. The meaningful biological information are then forwarded to the IoT cloud. The system is more intelligent that can able to detect the critical condition of a patient by processing sensors data and instantly provides push notification to doctors/nurses as well as hospital in-charge personal. The doctors and nurses get benefited from this system by observing their corresponding patients remotely without visiting in person. Patients' relatives can also get benefited from this system with limited access.

Our project aims to build a prototype device for heartbeat monitoring, blood pressure and temperature of the patients in real time which can be accessed by the doctors and the patient’s family at any time. This project is the requirement of biomedical industry. It influences our health care sector i.e. hospitals. Healthcare is a big industry and the companies in the field would definitely be interested in this kind of high technology innovation. With some product development, we could turn the prototype we are to build during this project into a real product. This project is a new secured sight towards medical information access and gives directions for future developments in the medical systems. In inclusion, through employing of cloud computing infrastructure, a health organization is able to manage its overall organizational structure, as a solution emerges with the coherent-optimal healthcare system.

Project Objectives

IoT has come a long way in recent years and is well integrated within multiple industries, including the healthcare space. The continued implementation of IoT within healthcare will lead to a drastic increase in productivity and analysis of data. Here the main objective is to design a Real time Patient Health Monitoring System to diagnose the health condition of the patients. Giving care and health assistance to the bedridden patients at critical stages with advanced medical facilities have become one of the major problems in the modern hectic world. In hospitals where many patients whose physical conditions must be monitored frequently as a part of a diagnostic procedure, the need for a cost-effective and fast responding alert mechanism is inevitable. Proper implementation of such systems can provide timely warnings to the medical staffs and doctors and their service can be activated in case of medical emergencies. Present-day systems use sensors that are hardwired to a PC next to the bed.

Project Implementation Method

Arduino is used by proposed system to get monitored patient heart rate, body temperature, and blood pressure. The data sensed by sensor is relayed on Arduino. The monitor screen of computer using Arduino is used to monitor the patient diagnose anywhere in the world using Internet. Using the IOT module the all updated information of each patient is displayed on web page and we can access that data from any location in the world using devices such as mobiles, laptops, etc. The updated information of web pages which can be access from anywhere globally is kept by IOT. The main moto of designing our system is to monitor patient privately at home as well as in the hospital. It is also helpful for the village healthcare, centre rural areas where there is lack of medical facilities. The data is stored using cloud computing, this data can be stored permanently and it is accessible from anywhere. Another advantage of cloud computing is we can keep the update of patient in an emergency case, doctors and care takers can immediately interface with the patient and can take a serious action on patient and also can provide medication depending on health parameters. The patients data will be displayed on a dashboard.

The methodology of this project is starting from the patients data which is collected by the sensors with the help of microcontroller i.e. Arduino. This information will be displayed on the monitor at the bedside of the patient. The fetched data will be proceeded to the cloud server via our server environment i.e. Nodejs as well as to our database which is MongoDB. Each patient will be given a login  portal which will be accessible to both the patient’s family and the doctor where there will be a dashboard app on which the patient’s medical data as well as the sensor data will be displayed.

Benefits of the Project

Our system will be beneficial to all age of people especially for the old aged or ICU patient. It will measure the Heartbeat, temperature and blood pressure of the patient and upload the result in the text message, web server and mobile apps. Therefore, we will develop website in which people can get access and see the output by searching date and time. Moreover, in case of emergency, nurse or patient‘s relative check out patient’s condition by using LIVE monitor option. Our goal was to build up a system with high accuracy with minimum cost so that anyone can use and afford this. Moreover, it will send alerts whenever a particular health parameter goes beyond the ideal limit. Furthermore, by receiving SMS or email alert doctors and relatives can take necessary action.

Benefit to Patients and family members:

1. End-To-End connectivity and affordability.
2. Tracking and alert

Benefit to Health organization:

1. A physical storage center is no longer needed.
2. Easily scalable, so users can add or subtract storage based on their own needs. 
3. More bandwidth, more processing power, more secure aspects, etc.
4. Data assortment and analysis

Benefit to Doctors and staff:

1. Simultaneous reporting and monitoring.
2. End-To-End connectivity
3. Data analysis.

Technical Details of Final Deliverable

Heterogeneous wearable sensing devices have been introduced to collect the patient’s biomedical data include ECG, blood pressure and body temperature. These sensors are connected with the microcontroller. The microcontroller we are using is Arduino. The sensor data is directly transmitted to a cloud server via Wi-Fi directly. Here we are using ESP8266 which is a 3V Wi-Fi module very popular for its Internet of Things applications. ESP 8266 maximum working Voltage is 3.6V. VCC and GND are powering pins. RX and TX are used to communicate. Here we are using wifi module to send the sensor data to our server and database. Patient data can be accessed by the doctor and the patient’s family with an internet enable device anywhere anytime. The pulse sensor we are going to use is a plug and play heart rate sensor. This sensor is quite easy to use and operate. Place your finger on top of the sensor and it will sense the heartbeat by measuring the change in light from the expansion of capillary blood vessels. For temperature sensor we are using LM35. It has 3 pins-2 for the power supply and one for the analog output. It is a low voltage IC which uses approximately +5VDC of power. The output pin provides an analog voltage output that is linearly proportional to the Celsius (centigrade) temperature.
COMPONENTS OF OUR WEBPAGE:
For frontend development we are going to make a login portal for each patient which will be having a dashboard webpage which will be displaying the sensor data fetched from the  arduino. All websites run on three components: the server, the database, and the client.
CLIENT-SIDE PROGRAMMING LANGUAGES & FRAMEWORKS:
HTML, CSS, Javascript, React, React Native for Mobile Apps, Socket IO, Bootstrap, jQuery
SERVER SIDE SCRIPTING:
Node.js: A server-side platform that uses JavaScript, and is changing the way real-time applications can communicate with the server for faster response times and a more seamless user experience. It works with another JavaScript framework, Express.js, to build server-side Web applications.
DATABASE:
MongoDB is a crossplatform and open-source document-oriented database, a kind of NoSQL database. As a NoSQL database, MongoDB shuns the relational database’s table-based structure to adapt JSON-like documents that have dynamic schemas which it calls BSON.
SUPPORT MODULES:
Chart JS, Express, Nodemon, FileSystem, Moment, SweetAlert, uuid, bcrypt, CORS, JSWT Simple, axios, debug, cookie-parser, body-parser, morgan, multer, mongoose,  http-errors.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Medical

Other Industries

IT , Health , Telecommunication

Core Technology

Internet of Things (IoT)

Other Technologies

Cloud Infrastructure, Wearables and Implantables, Big Data

Sustainable Development Goals

Good Health and Well-Being for People, Decent Work and Economic Growth, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com