Intelligent Cardio Interpreter

Our undertaking depends on the two current fields, the one is PC sciences and the other is natural science, in short, the idea depends on the telemedicine. In this anticipates the ECG was transferred through picture and p,q,r,s,t purposes of ECG were found through picture preparing. The framework ad

Project Title

Intelligent Cardio Interpreter

Project Area of Specialization

Computer Science

Project Summary

Our undertaking depends on the two current fields, the one is PC sciences and the other is natural science, in short, the idea depends on the telemedicine. In this anticipates the ECG was transferred through picture and p,q,r,s,t purposes of ECG were found through picture preparing. The framework additionally computed heartbeat through picture preparing. As indicated by the heartbeat the application gave the proposals about the soundness of patient. Presently this working model framework can be utilized to interoperate your coronary illness by taking pictures as info. On the bases of these focuses and pulse, the expanded element will tell the infection of the heart if there is any.

Project Objectives

Many people in Pakistan don’t get proper medication for heart diseases on time. Patients failed to receive continuous care. Communication issues often arise between the doctor and patients and its result in the loss of precious lives with the help of our project patients don’t have to travel long distances to gain access to health care. It is easy to use mobile phone technology that has cheaper more powerful and is more accessible because the mobile network has more coverage and it will minimize patient travelling for healthcare. Storage and exchange of information of patients information are easier it avoids confusion and miscommunication between doctor and patient. 

In this project, we proposed a novel technology of intelligent ECG Interpretation for the diagnosis of cardiac diseases. ECG Interpretation requires a high degree of skill and expertise and years of experience. Also, the automatic interpretation systems developed previously required thousands of rules to be created with the help of domain experts. With machine learning techniques we can train our system historic ECG image data spanned our four to five years. The system will provide its users with accurate cardiac disease diagnosis thereby replacing the need of a human expert.

Project Implementation Method

The research is related to diseases of the hearts and their different ECG waveforms. This research has been made just to train the neural network in future work. There are various type of diseases about which we have collected data.

Some of the Diseases about which we have collected data are

Benefits of the Project

Many people in Pakistan don’t get proper medication for heart diseases on time. Patients failed to receive continuous care. Communication issues often arise between the doctor and patients and its result in the loss of precious lives with the help of our project patients don’t have to travel long distances to gain access to health care. It is easy to use mobile phone technology that has cheaper more powerful and is more accessible because the mobile network has more coverage and it will minimize patient travelling for healthcare. Storage and exchange of information of patients information are easier it avoids confusion and miscommunication between doctor and patient. 

In this project, we proposed a novel technology of intelligent ECG Interpretation for the diagnosis of cardiac diseases. ECG Interpretation requires a high degree of skill and expertise and years of experience. Also, the automatic interpretation systems developed previously required thousands of rules to be created with the help of domain experts. With machine learning techniques we can train our system historic ECG image data spanned our four to five years. The system will provide its users with accurate cardiac disease diagnosis thereby replacing the need of a human expert.

Technical Details of Final Deliverable

We initiated this project to facilitate the human being for their health issues. This is the telemedicine-based project which allows the patient to read his ECG with his smartphone accurately and efficiently. With the help of Neural networks and Digital Image processing, this prototype makes the life of a patient easy. This project is not only about to process the ECG but it also saves the effort of the patient to visit the doctor with the help of online consultancy system where patient can get an online prescription. On the other hand, this prototype is also helpful for doctors to examine ECG at microscopic level which is not possible for the naked eye.

Final Deliverable of the Project

Software System

Core Industry

Medical

Other Industries

IT

Core Technology

Others

Other Technologies

NeuroTech

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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