HMMs and coupled HMMs for multi-channel EEG classification

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2002, Pages 1154-1159

  Zhong, Shi ^a   Ghosh, Joydeep ^a  

^a The University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); ELECTROENCEPHALOGRAPHY; LAGRANGE MULTIPLIERS; MARKOV PROCESSES; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; THEOREM PROVING;

DISTANCE COUPLED HIDDEN MARKOV MODELS; HIDDEN MARKOV MODELS; TRAINING ALGORITHM;

NEURAL NETWORKS;

EID: 0036079795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Motor imagery and direct brain-computer communication
2. Using time-dependent neural networks for EEG classification
3. A tutorial on hidden Markov models and selected applications in speech recognition
4. EEG pattern recognition-arousal states detection and classification
5. HMM used for the offline classification of EEG data
6. Gaussian observation hidden Markov models for EEG analysis
7. Coupled hidden Markov models for modeling interactive processes
8. Estimation of coupled hidden Markov models with application to biosignal interaction modelling
9. Input-output HMMs for sequence processing
10. Factorial hidden Markov models
11. Mixed memory Markov models: Decomposing complex stochastic processes as mixtures of simpler ones
12. An inequality and associated maximization technique in statistical estimation for probabilistic functions of Markov processes
13. Coupled hidden Markov models for complex action recognition
14. Modeling freeway traffic with coupled HMMs
15. Event-coupled hidden Markov models
16. Approximate learning of dynamic models
17. The factored frontier algorithm for approximate inference in DBNs
18. An inequality with applications to statistical estimation for probabilistic functions of a Markov process and to a model for ecology
19. Growth transformations for functions on manifolds
20. The UCI KDD archive
21. Brain state identification and forecasting of acute pathology using unsupervised fuzzy clustering of EEG temporal patterns
22. Maximum likelihood estimation for multivariate mixture observations of Markov chains
23. Some properties of continuous hidden Markov model representations
24. Clustering sequences with hidden Markov models