Detecting Obstructive Apnea Episodes using Dynamic Bayesian Networks and ECG-based Time-Series.

Daniel Romero Raimon Jané

Published in: EMBC (2022)

Keyphrases

dynamic bayesian networks
obstructive sleep apnea
bayesian networks
particle filtering
approximate inference
structure learning
sleep apnea
graphical models
state variables
neural network
pairwise
parameter estimation
gaussian process