Idea Name: |
Handy ECG |
Slogan: |
Handy ECG can save life |
Supervisor Name: |
Dr Hamid Jabbar |
Supervisor Designation: |
Associate Professor |
Supervisor School: |
CEME |
Supervisor Department: |
Department of Mechatronics Engineering |
Contact number: |
0300 5274026 |
Email ID: |
[email protected] |
Abstract: |
The main Idea is to develop a portable and IOT based ECG device that will be acquiring an ECG signal and will be using machine learning algorithm to check any abnormalities and detect arrhythmia. |
What is the unmet need in society that your idea will fulfill ? |
Among a number of life taking diseases, heart diseases are on the top. ECG is the one of the oldest method for detecting cardiac diseases yet not efficiently Our project will focus on meeting this need in the society to timely detect cardiac diseases using more accurate and feasible device system. |
Who needs it ? How many would benefit ? |
Our project focuses on good health and well being of society. This device will assist doctors in hospitals . The Main goal is to meet the limitations of already working ECG devices like Holter etc and utilizing machine learning to develop more precise and efficient system to detect heart diseases. |
How will the solution works |
The Solution and Technical working of project is based on three parts, Firstly Data Acquisition of an ECG signal will be done by using appropriate method and circuitry. In the Second Step Machine learning algorithm will be utilized to check for any abnormalities and detecting arrhythmia. All the computing will be performed on the cloud server, This server will be interfaced with the microcontroller. After the processing results will be displayed on some useful medium. |
Who are your competitors ? How is your solution different |
Our competitors are the ones dealing with ECG and ML in biomedical engineering. Our device is different from them in a way that normally such devices only detect the abnormal heart conditions but we are using machine learning to make portable device ''specifically detecting arrhythmia'' as well . |
Status: |
new |
Entry Date & Time: |
2021-12-15 (1513) |