An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals.
Changyue SongKaibo LiuXi ZhangLili ChenXiaochen XianPublished in: IEEE Trans. Biomed. Eng. (2016)
Keyphrases
- hidden markov models
- ecg signals
- discriminative classifiers
- discriminative training
- obstructive sleep apnea
- mit bih arrhythmia database
- sequential data
- conditional random fields
- speech recognition
- viterbi algorithm
- sleep apnea
- handwritten word recognition
- markov model
- hidden state
- neural network
- hidden states
- fisher kernel
- beat classification
- dynamic probabilistic networks
- pattern recognition
- signal to noise ratio
- multi stream
- anomaly detection
- semi supervised
- feature space