Wearable Health Monitor for Patients and Elderly people

This project takes on the challenge of developing a wearable health monitor for patients and elderly people. Wearability can manifest itself in different ways such as wearing around the neck, on a wrist/forearm, on a finger, etc. Health monitoring is being done for multiple bio-signals such as ECG,

Project Title

Wearable Health Monitor for Patients and Elderly people

Project Area of Specialization

Biomedical Engineering

Project Summary

This project takes on the challenge of developing a wearable health monitor for patients and elderly people. Wearability can manifest itself in different ways such as wearing around the neck, on a wrist/forearm, on a finger, etc. Health monitoring is being done for multiple bio-signals such as ECG, heart rate, oxygen concentration, activity levels, etc., whereas the data is collected on the cloud (or a local server). A vital component of this product is the intelligent algorithm we are developing to assess the health of its wearer in terms of different smart indices. We are developing this project into a reliable, easy to carry, wearable, smart, and intelligent product that people can use without fearing a breach of security and privacy.

The processor that we have embedded and used is ESP 32 and is programmed in Arduino IDE. The main reason for using that is the inbuilt capability of Bluetooth and Wi-Fi of this processor which is one of the main components or part of our project for communication between sensors data and User interface.

The Sensors that we are using are Maxim integrated 30101 for heart rate and oxygen concentration data that is being used to measure Heart Rate variability (HRV) and for Sleep Tracking, Texas Instruments Temperature sensor TMP 117 for skin temperature data, and Invensense MPU 6050 for acceleration data for counting steps and measuring activity level of the user. And a display for data visualization on the wearable.

For Data visualization, it’s processing and algorithm development, that we’re getting from the sensors through Bluetooth/Wi-Fi, we are using Python language. For designing the user interface, we are using Python’s Kivy module and for Bluetooth communication the PyBluez module.

Project Objectives

This project takes on the challenge of developing a wearable health monitor for patients and elderly people. Wearability can manifest itself in different ways such as wearing around the neck, on a wrist/forearm, on a finger, etc. We, in this context, will limit ourselves to only two variants: one the necklace and the other a wrist band. Health monitoring will be done for multiple bio-signals such as ECG, heart rate, oxygen concentration, activity levels, etc., whereas the data will be collected on the cloud (or a local server). A vital component of this product is the intelligent algorithm we need to develop to assess the health of its wearer in terms of different smart indices. We will love to develop this project into a reliable, easy to carry, wearable, smart, and intelligent product that people can use without fearing a breach of security and privacy.
 

Project Implementation Method

The whole project was divided into two phases: 1. Prototyping and sensors testing 2. Final PCB design and wearable model The proposed wearable health platform has two major aspects: the physical wearable watch with all the sensors and circuitry and the data processing to convert the sensor values to useful information like steps, SpO2 level, heart rate, etc. The microcontroller used in the project is ESP32- WROOM-32D. The initial sensors used for prototyping and testing were MAX30102 as PPG sensor, MPU 9250 as IMU unit, and MCP9808 as temperature sensors. The sensors were initially interfaced with ESP32 on a breadboard and the data was transferred on a Bluetooth terminal App on mobile. After that, an initial prototype was built on a PCB using the breakout boards of the mentioned sensors.

Benefits of the Project

The main aim and objective of this project are to make contributions to our society in the sense that our product will definitely contribute towards saving the lives of Patients and Elderly people by early diagnosis of any heart non-functionality and another parameter that needs initial attention towards their future effects.

As our product can help the physician to know about the heart functionality and can generate the health reports that can greatly reduce the percentage of patients getting Arrhythmias after their operations.

Technical Details of Final Deliverable

For this project, we aim to deliver the following features:

1. It will be wearable like a necklace or a wristband.
2. It will be easy to carry.
3. It will be lightweight.
4. It will be smart.
5. It will be intelligent.
6. It will be attractive to look at.
7. It will ensure the security and privacy of the users.
8. It will efficiently and correctly monitor multiple bio-signals such as ECG, heart rate, oxygen concentration, activity levels, etc.
9. It will collect the data and store it on the cloud (or a local server). 
10. It will generate two types of reports; one for the patient and one for the medical advisor. The report for the patient will be of indication type like it will alert the patient to take medical precautionary measures. The report for the medical advisor will be of medical data type like ECG report, blood report, pulse rate, etc.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

IT , Medical

Core Technology

Internet of Things (IoT)

Other Technologies

Wearables and Implantables

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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