- 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).
- I found more datasets to train the heart sound algorithm on.
- I denoised all the data before putting it through the CNN.
- The accuracy percentage went down when I ran the CNN on the denoised heart, but that is most likely because I ran it on my laptop with a much lower iteration and epoch, since it takes a lot more time to train the CNN on my laptop.
- Started to train the abnormal heart sounds for AR/MS.
- Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
- On schedule.
- What deliverables do you hope to complete in the next week?
- We will be working on our CNN for it to reach an accuracy of 85%.
- Finish training on abnormal heart sounds for MS/AR.
- Purchase a ballistic gel to play the heart sound through to ensure our testing environment mimics that of a real heart sound well enough.
Carnegie Mellon ECE Capstone, Spring 2019. Team A4: Arihant Jain, Ryan Lee, Eri Sugita