From: A transition-constrained discrete hidden Markov model for automatic sleep staging
Items | Specs of the DHMM |
---|---|
Time duration for one epoch | 30 seconds |
Epoch number for a subject | 900 |
Number of training data | 10 |
Number of testing data | 10 |
Size of codebook | 30/40/50/60 (four different codebook sizes were used) |
Hidden state | 5 (equal to the five sleep stages) |
Observation code | 30/40/50/60 (equal to the codebook size) |
λ = (A, B, π) | |
A | matrix dimensions equal to Hidden state× Hidden state |
B | matrix dimensions equal to Observation code× Hidden state |
Ï€ | matrix dimensions equal to Hidden state× 1 |