What are the most significant risks that could jeopardize the success of the project?
We had originally thought that the machine learning process of indicating whether a heart sound has a murmur could be done independently of segmentation/filtering; however, we could not find sufficient data that allows us to test the two separately (i.e. we could not find enough data with already segmented heart sounds without noise)
How are these risks being managed? What contingency plans are ready?
Eri and Ryan are meeting frequently and working on everything together – this has allowed us to work more efficiently. Ari is also going to help once he finishes assembling the stethoscope, since that is taking a lot less time than we had previously imagined.
Were any changes made to the existing design of the system (requirements, block diagram, system spec, etc)? Why was this change necessary, what costs does the change incur, and how will these costs be mitigated going forward?
We did not make any changes to the requirements/block diagram/system spec this week.
Provide an updated schedule if changes have occurred.
As stated above, Eri will be working on the segmentation and filtering with Ryan and this will speed up the timeline to finish these parts. After this, they will work on the ML part together with Ari.