- 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).
- We reached an accuracy of 89% this week
- We found the specificity and the sensitivity. The specificity rate was around 95%, but the sensitivity was pretty low (65%).
- We decided to find more datasets with abnormal heart sounds and after training our CNN with more dataset we were able to get our sensitivity rate to 79%.
- Created a run time signal for the heart sounds from the stethoscope
- This runtime signal shows up on our raspberry pi, but it’s a bit slower than we’d like.
- Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
- Our progress is on schedule
- What deliverables do you hope to complete in the next week?
- Get the sensitivity rate up to 85% and finish integrating the stethoscope with our code. (We are nearly done with the integration part)
Carnegie Mellon ECE Capstone, Spring 2019. Team A4: Arihant Jain, Ryan Lee, Eri Sugita