On Using Maximum a Posteriori Probability Based on a Bayesian Model for Oscillometric Blood Pressure Estimation.
Soojeong LeeGwanggil JeonGangseong LeePublished in: Sensors (2013)
Keyphrases
- bayesian model
- maximum a posteriori probability
- blood pressure
- heart rate
- markov random field
- bayesian inference
- bayesian framework
- conditional probabilities
- risk factors
- map estimation
- graph cuts
- higher order
- probability distribution
- posterior distribution
- multi task learning
- mrf model
- machine learning
- blood glucose
- generative model
- pairwise
- similarity measure
- computer vision