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respiration
2008 Nov 11
1
R: R: Hidden Markov Models
Thank you for your prompt answer.
The breathing signal observations are the amplitude values as a function of time and phase.
According to our model the hidden states are the different breathing types.
Subjects, whose respiratiion process is regular, are likely to breathe, keeping the same cycle pattern/type,
for many consecutive cycles. therefore dwelling in the same hidden state.
The more regular the breathing process is, the more predictive its signal becomes the higher its amplitude autocorrelation order.
I guess my qu...