- 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 finished our double blind trials on our testing environment this week
- Through training the larger dataset on the SVM and CNN we finally were able to reach an average accuracy of around 83% using the CNN, which is close to our goal.
- We started integrating all of the necessary things for the demo on Monday, and tomorrow we will focus more on transforming our MATLAB code into C.
- 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 behind schedule since we wanted to be done with classifying AS/MR by the end of this week, but we realized we may just scrap that completely and just make this stethoscope work for classifying abnormal vs normal heart sound since we do not have a lot of time left.
- What deliverables do you hope to complete in the next week?
- Finish integrating our code with our stethoscope and start working on using the raspberry pi to be able to display whether the user has a normal or abnormal heart sound.
Carnegie Mellon ECE Capstone, Spring 2019. Team A4: Arihant Jain, Ryan Lee, Eri Sugita