Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models.
Pei-Chann ChangJyun-Jie LinJui-Chien HsiehJulia Tzu-Ya WengPublished in: Appl. Soft Comput. (2012)
Keyphrases
- gaussian mixture model
- feature vectors
- myocardial infarction
- mixture model
- density estimation
- feature space
- maximum likelihood criterion
- speaker recognition
- covariance matrices
- model selection
- machine learning
- maximum likelihood
- text classification
- feature extraction
- em algorithm
- pattern classification
- pattern recognition
- supervised learning
- speaker identification
- expectation maximization
- unsupervised learning
- b spline
- training set
- probabilistic neural network
- support vector