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
Dr. Weeks and Dr. Skornyakov have recruited three grad students to help with data collection. Alexa and I are still helping out, and intend to continue through the end of February. Currently, we have a single patient in the study.
I am struggling with some technical difficulties and was not able to produce graphical results of my coefficient of variation calculations, but hope to do so this week after downloading a Windows virtual machine or spending some time in the lab.
Looking forward, I hope to get the CV calculation squared away and sent to Dr. Weeks. After spending time away from my exploration of individualized sleep time, I think it would be interesting to try adding an individualized sleep time as well. I will be consulting Dr. Sprint about this subject to see if it is necessary and how I could determine whether or not it was likely a more accurate version of sleep time than a standardized Lights Out time.
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