Pediatric Seizure Forecasting using Nonlinear Features and Gaussian Mixture Hidden Markov Models on Scalp EEG Signals.
Carlos Emiliano Solorzano-EspindolaBlanca Tovar-CoronaÁlvaro Anzueto-RíosPublished in: CCE (2018)
Keyphrases
- eeg signals
- hidden markov models
- gaussian mixture
- signal processing
- mixture distributions
- extracted features
- brain activity
- brain computer interface
- speech recognition
- gaussian mixture model
- em algorithm
- sequential data
- eeg data
- continuous hidden markov models
- closed form
- mixture model
- density estimation
- epileptic seizures
- computer vision
- expectation maximization
- image classification
- image processing