A Ubiquitous and Portable Healthcare Monitoring System

Internet of Things (IoT) rises as a computing process, where embedded devices are equipped with sensors, transceivers, and microcontrollers for exchanging information over the internet or directly with suitable protocols which help them interact between them and communicate with the users. IoT-based

Project Title

A Ubiquitous and Portable Healthcare Monitoring System

Project Area of Specialization

Internet of Things

Project Summary

Internet of Things (IoT) rises as a computing process, where embedded devices are equipped with sensors, transceivers, and microcontrollers for exchanging information over the internet or directly with suitable protocols which help them interact between them and communicate with the users. IoT-based systems are not only limited to home automation, self-driving cars, parking, etc. IoT also has a great deal of work in the effective monitoring of health care systems. Internet of Things (IoT) allows real-time healthcare monitoring systems, by integrating diverse distributed devices and sensors, which analyze and communicate real-time medical information to the cloud, thus making it possible to accumulate, store and analyze large data. This information acquisition allows continuous information access from any connected device over the internet. The proposed model will be the implementation of an IoT-based In-hospital wireless healthcare system using ESP 32 and Raspberry Pi. The healthcare system implementation can continually monitor the vital signs of the patient such as an electrocardiogram (ECG), heart rate, body temperature, blood oxygen, etc. It will provide an advanced wearable system, based on the cloud and a real-time database. Wireless technology will be used in the proposed system for communication between devices, so the patient wearing these modules will not feel entangled between wires. As each of the devices will be wireless, these are limited in battery power, it is optimal to minimize the power consumption to enhance the life of the healthcare system. The system will be built using Arduino Nano and different sensors like heart rate, ECG module, body temperature, breathing rate sensor. Patient data will be acquired through sensors wirelessly and transferred to edge computing devices and then later transferred to the cloud real-time database and deep learning algorithms will be applied for analytics and also the log of patient’s data will be stored in the database for professionals to assess patient’s condition. Thus, IoT-enabled devices at the same time enhance the quality of treatment with regular monitoring and reduce the cost, and actively engage in data collection and analysis of the same.

Project Objectives

• The main purpose of the project is to make doctors able to monitor patient conditions in real-time from anywhere.
• Doctors will be able to share patient data with other experts for guidance if needed.
• To build a portable and comfortable system by eliminating wires.
• An efficient system that will provide patients’ real-time data visually to doctors through the web and application.
• An expert system using deep learning algorithms for patients’ diagnosis and providing medical assistance.
• Develop an edge computing-based system backed up with cloud services, to provide storage and analysis of data in real-time.
• Reduce the costs, associated with employing expensive monitoring equipment.
• Using wireless technology to eliminate wire entanglement and will allow patients to move/walk freely.
• Currently, most of the systems in the hospitals having health care monitoring systems have hardware entangled with wires. Our system will use wireless technology to perform these functionalities i.e. Wi-Fi and Bluetooth. Thus, enabling patients to move more freely or even walk easily.
• This system will store the patient’s vital signs data in an online and more secured database. Only authorized people will be able to monitor data and access logs anytime and anywhere.
• This system will enable the monitoring of patients’ vital signs remotely. This will reduce the efforts of caretakers or doctors and patients.
• The proposed system will also be able to use deep learning algorithms on the records of data and will be able to predict the health condition of patients.

Project Implementation Method

1.  Sensors with Arduino and ESP32:

We are using an Arduino board and ESP32, one board will monitor the vital signs using heart rate sensor (MAX30100), ECG Module (AD8232), of the patient while the Arduino board will monitor temperature and blood pressure using temperature sensor (18b20) and blood pressure sensor (CPS120) after monitoring Arduino will send data to ESP32 via Bluetooth and then it will send that data to Raspberry pi via Wi-Fi which is the edge server.

2.  Real-time Data Acquisition:

The vital signs sensors will record the patient’s physical parameters by using a heart rate sensor (MAX30100), temperature sensor 18b20, ECG Module (AD8232), blood pressure sensor CPS120, and breathing rate sensor ADS1292R in real-time connected to microcontroller i.e. Arduino Nano and ESP32. Noise filtration will be applied to the collected data and then transfer to the cloud by an edge server i.e. Raspberry Pi.

     3.  Data Filtration and Analysis:

All the data from the microcontrollers will be sent to Raspberry Pi wirelessly and this module will apply filtration algorithms to reduce the noise in the data and deep learning algorithms on the sensory data to learn the behaviour of patient’s health condition and predict the health condition of patients and provide with the proper medications and diagnosis to health professionals. Abnormal behaviour in a patient’s health condition will also generate alerts on the end-user devices.

    4.  Cloud Storage:

To maintain the health log of all individuals for the long-term, the data will be stored using cloud services. All the acquired data from each patient using an edge server will be stored on a cloud database. The data will be secured so that only authorized users will be able to access the corresponding patient's health information. This data will be available to a user remotely anywhere with high processing speed.

5.  User interface:

The health professionals will be able to monitor patients’ vital signs data on the android app and web application. All the information will be displayed on applications in real-time. The data readings will be shown in the form of a line graph so the user can observe information. In case of emergency, the applications will generate a notification and alert the caretaker on the application

Benefits of the Project

• Currently, most of the systems in the hospitals having health care monitoring systems have hardware entangled with wires. Our system will use wireless technology to perform these functionalities i.e. Wi-Fi and Bluetooth. Thus, enabling patients to move more freely or even walk easily.
• This system will store the patient’s vital signs data in an online and more secured database. Only authorized people will be able to monitor data and access logs anytime and anywhere.
• This system will enable the monitoring of patients’ vital signs remotely. This will reduce the efforts of caretakers or doctors and patients.
• The proposed system will also be able to use deep learning algorithms on the records of data and will be able to predict the health condition of patients.

Technical Details of Final Deliverable

This system will be portable and mobile as the modules attached are wireless. Thus, allowing continuous monitoring of patient’s vital signs and electrocardiogram (ECG) wirelessly. The system will create health log of patients and enable real-time data monitoring. The purpose of this system was to provide a stage with improved and better portable Healthcare monitoring environments. The data will be stored in a secured and efficient real-time cloud database system and that will only enable authorized people to remotely access patients’ medical logs with high speed. The expert medical system will also help in enhancing the patients’ analysis and delivering better medications using deep learning algorithms. From past data, the system will also help in determining treatment for patients. This system will provide an easy and understanding display of patients’ real-time data for better observations. This will also generate notifications and alerts to the concerned people in case of any emergency. It aims to provide more stable improved healthcare monitoring in real-time for better and constant diagnosis.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Health

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI), Cloud Infrastructure

Sustainable Development Goals

Good Health and Well-Being for People, Industry, Innovation and Infrastructure

Required Resources

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