Hello Kentaro, I think that NuPIC can definitely work with ECG data, but I need a little more information about your project to make any helpful suggestions. Two questions:
1) Are you trying to predict or detect anomalies? You use both terms, but they involve somewhat different mechanisms. 2) How are you encoding ECG data? Best, Sergey On Wed, Oct 21, 2015 at 10:07 PM, Kentaro Iizuka <[email protected]> wrote: > Hello NuPIC. > > Thank you Matt for post. > > Here is my question detail. (It is same as gitter post) > https://gist.github.com/iizukak/72526863d3f504f2ff5e > > I hope somebody have good idea for that. > > Thank you! > > > 2015-10-22 13:29 GMT+09:00 Matthew Taylor <[email protected]>: > > Hello NuPIC, > > > > Check this out: > https://gitter.im/numenta/htm-challenge/archives/2015/10/21 > > > > Watch the ECG anomaly in the video: https://youtu.be/5KdwV-trMhE?t=1m41s > > > > He has an interesting question about how to train a model on a healthy > > heartbeat, and it is expressed well with pictures in the link above. He > > wants to train a model with the ECG history of more than one person to > get a > > representation of a "healthy heartbeat". The problem is that every > person's > > heartbeat is a little different. Is it feasible to train a model on > multiple > > heartbeats in sequence? I'm not sure if it will work, but maybe someone > has > > a better idea? > > > > Solving this problem would help in a lot of different signal analysis > > applications of HTM... > > > > --------- > > Matt Taylor > > OS Community Flag-Bearer > > Numenta > > > > -- > Kentaro Iizuka<[email protected]> > > Github > https://github.com/iizukak/ > > Facebook > https://www.facebook.com/kentaroiizuka > >
