Atrial Fibrillation Detection Device

Inspiration

The inspiration for this project was quite arbitrary. We decided to make a machine learning model that could detect a disease for this hackathon, and we ended up choosing atrial fibrillation.

What it does

The model takes into input a dataframe that includes information about the patient, such as height, weight, heart axis, whether they have a pacemaker, and most importantly, their ECG data. Given this information, the model predicts whether the patient is suffering from Atrial Fibrillation or not.

How we built it

It was built in Python, using the necessary libraries for machine learning.

Challenges we ran into

Neither of us had any experience in regards to machine learning, so it was interesting learning along the way as we were making the ML model.

Accomplishments that we're proud of

Nothing much was accomplished that we could be proud of. However, we learned a lot about machine learning and are much more confident heading into the next hackathon.

Built With

• python
• tensorflow