| Idea Name: |
Kard.ai |
| Slogan: |
HealthyHeart: the beat goes on |
| Supervisor Name: |
Dr Mehak Rafiq |
| Supervisor Designation: |
Assistant Professor |
| Supervisor School: |
RCMS |
| Supervisor Department: |
Computational Sciences |
| Contact number: |
03040007544 |
| Email ID: |
[email protected] |
| Abstract: |
| Due to high mortality rate in cardiovascular disease early detection is important for treatment of patients, for this purpose machine learning techniques are used. We intend to propose a system that reads the ECG signals directly from ECG machine and predict different types of abnormal heart beat events. |
| What is the unmet need in society that your idea will fulfill ? |
| This project will help the physicians to early predict the abnormal heart beats directly from ECG signals and direct further in treatment and diagnosis of disease. |
| Who needs it ? How many would benefit ? |
| For examination of ECG report expertise are required and heart specialists are needed 24/7 for patients suffering from cardiovascular diseases. As Pakistan is a developing country, most of it’s under developed areas lack with this facility. |
| How will the solution works |
| System will feed first by ECG signals values from 12 ECG leads. System will extract different attributes which will indicate different characteristics of that signals which are then used to train different ML models to classify patient data on the basis of abnormal heart beats. Performance of each model will be evaluate and the model with best statistical parameters and interpretation will be chosen. |
| Who are your competitors ? How is your solution different |
| At the moment there are no competitors in Pakistan |
| Status: |
new |
| Entry Date & Time: |
2021-12-23 (0901) |
