Hey Matt, I’ll share an easily runnable version by end of day.
thanks :) > On Apr 16, 2015, at 6:38 PM, Matthew Taylor <[email protected]> wrote: > > Right after the apnea, the anomaly score dropped to 0 and flatlined. That > doesn't seem right at all. Is your code online anywhere? > > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > On Thu, Apr 16, 2015 at 7:00 AM, Nicholas Mitri <[email protected] > <mailto:[email protected]>> wrote: > Hey all, > > I’ve procured data from a CPAP machine (waveform plotted below wrapping from > subplot to the next). > Is this data suitable for HTM anomaly detection and specifically for NAB? > > The peaks in the data are sighs while short flat regions are apneas. The > baseline for breathing also changes as seen by the slower trends in the data. > I’ve tried using HTM and the anomalies I got weren’t very consistent for > sighs (2nd figure). Even worse, apneas were learned immediately, probably due > to being quantized to a single value. > > I’m defending my thesis in 2 weeks and this is the last section to highlight > anomaly detection in HTM. I’d really like the thesis to end on a good note > with one of the better features of HTM so any advice on how to handle this > data is greatly appreciated. > > Thanks, > Nick > <patient1_cpap_25hz.png> > <Screen Shot 2014-12-17 at 12.54.48 AM.png> >
