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).
One problem we ran into this week was that we used a different dataset from Physionet so we could have more instances to train on. However, this meant that the heart sound files were different lengths, ranging from 5 seconds to 31 seconds. Also there were files that had heart sounds that did not have a central value of zero. To fix this, I cut all the files down to five seconds and normalized all the files so they had a central value of zero, with minimal noise. Ryan then trained the new files to get a higher percentage accuracy than last week.
This week we also used our actual stethoscope to collect Ari’s heart sound, and after putting it through my normalizing and denoising algorithm, it produced the final heart sound signal shown below.
Finally I updated my Gantt chart to reflect on Ryan and me working together from now on.
Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
My progress is on schedule this week
What deliverables do you hope to complete in the next week?
In the following week we hope to be able to collect heart sounds from our smart stethoscope and test whether it is normal or abnormal using our trained algorithm and get a final analysis. Even if the analysis is incorrect, this is our goal because it is a first step in putting all our different works together.