- What did you personally accomplish this week on the project? Give files or photos that demonstrate your progress. Prove to the reader that you put sufficient effort into the project over the course of the week (12+ hours).
- Double blind trials on testing environment – so far people cannot tell the difference between the heart sound from our stethoscope and the dataset heart sound
- Researched ways to find the similarity of the heart sound from stethoscope and the dataset so we can get a percentage to prove the testing environment is good enough
- Trained the CNN on larger dataset from Physionet.
- Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
- Behind schedule – I did not work on this project enough this week due to carnival and other commitments.
- I will put in more time next week and work with Ari and Ryan in lab more.
- What deliverables do you hope to complete in the next week?
- We will be working on our CNN for AR/MS to reach an accuracy of 85%.
- Start training on abnormal heart sounds for MR/AS.
- Find a percentage accuracy of the similarity for our testing environment
Carnegie Mellon ECE Capstone, Spring 2019. Team A4: Arihant Jain, Ryan Lee, Eri Sugita