- 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).
- This week I was able to find five full ‘lub’ ‘dub’ beats. It did not work on all of our training algorithm at first, because it seems to not correctly determine all the S1 and S2 because the findpeak algorithm on matlab is not accurate enough
- To fix this I found the average diastole distance and checked that the frequency of the first s1 peak is smaller than the first s2 peak to correctly determine five full ‘lub’ ‘dubs’
- One problem I found this week was that some of the signal we disregarded as ‘noise’ using my algorithm could be useful in helping to classifying a murmur, since many heart sounds with murmurs seem to have low amplitude signals directly following an S1 or S2 beat.
- Feature extraction for SVM: I have researched and decided to use the following features for my SVM:
Time Domain
• mean diastole period (time between S2 and the next S1)
• Mean of the ratio of duration of systole to the RR interval – I don’t know what RR interval is yet, but I will research this next week.
• Maximum mean value between S1 and S2
• Mean of the S2 amplitude peaks.
• Mean of the S1 amplitude peaks.
Frequency-domain
• Average ratio of the power of each diastolic segment in the 100-300Hz frequency band to the power in the 200-400Hz frequency band.
• Mean power of each diastolic segment in the 150-350Hz frequency band
• Mean power of each diastolic segment in the 200-400Hz frequency band
- 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?
- Since I am on spring break right now I don’t think I will get much done this week. However, I will start work on extracting the features I mentioned above from the dataset.