Pattern recognition in time series [closed]

Here is a sample result from a small project I did to partition ecg data. My approach was a “switching autoregressive HMM” (google this if you haven’t heard of it) where each datapoint is predicted from the previous datapoint using a Bayesian regression model. I created 81 hidden states: a junk state to capture data … Read more