This week, I am working to get the dynamic time warping functionality into my program. The process of doing so includes re-processing the features to include the time series, putting each series back together when we construct sequences, and then performing the DTW to generate a number that will be used to compute the kNN of each sequence which can then be used for predictions with the models. The processing time of these activities has gone up significantly since we have been using five different metrics with each of the F phase datasets. I am returning to school next week, and once I've completed the DTW processing all that will remain before we put together our second paper (The date for the reach journal we would like to submit it to is October 1), I am hoping I will have time to look again into the Agglomerative Hierarchical Clustering concept, which I did not successfully complete when we explored it earlier in the summer and then changed focus to the paper. We heard back
Over Christmas break, I am going to focus on doing more literature review. Dr. Skornyakov has provided us with some interesting articles on sleep studies of subjects suffering from disordered sleep. One, in particular, that seems of interest to me is a brief manual on what collecting and interpreting Actigraphy data should (ideally) look like in a medical setting. The others focus on topics not exactly the same as ours, but all involve some form of evaluating sleep. Unfortunately, two of them rely on cognitive testing (good brain function should indicate good sleep). However, it could be interesting to look at what factors of collected data they associated with high brain activity.
In addition to reading, I will continue to work on the Individualized wake time calculator.
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