Hidden Markov models used for the offline classification of EEG data

Biomedizinische Technik

Volumn 44, Issue 6, 1999, Pages 158-162

  Obermaier, B ^a,b   Guger, Ch ^b   Pfurtscheller, G ^a,b  

^a LUDWIG BOLTZMANN INSTITUTE FOR LUNG VASCULAR RESEARCH   (Austria)

^b GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Brain computer interface (BCI); EEG classification; Event related desynchronization (ERD); Hidden Markov model (HMM)

Indexed keywords

BRAIN; COMPUTATIONAL METHODS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMAN COMPUTER INTERACTION; MAN MACHINE SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; PATTERN RECOGNITION; USER INTERFACES;

BRAIN-COMPUTER INTERACTION (BCI); EVENT-RELATED DESYNCHRONIZATION (ERD); HIDDEN MARKOV MODEL (HMM); HJORTH PARAMETERS; LINEAR DISCRIMINANT;

BIOMEDICAL ENGINEERING;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CORTICAL SYNCHRONIZATION; DATA ANALYSIS; DISEASE CLASSIFICATION; ELECTROENCEPHALOGRAM; EVENT RELATED POTENTIAL;

EID: 0033041234     PISSN: 00135585     EISSN: None     Source Type: Journal    
DOI: 10.1515/bmte.1999.44.6.158     Document Type: Article

References (16)

1. Pfurtscheller, G; A. Aranibar: Event-related cortical desynchronization detected by power measurement of scalp EEG. Electroenc. clin. Neurophys. (1977), 817-826.
2. Kalcher, J.; D. Flotzinger, Ch. Neuper, S. Gölly, G. Pfurtscheller: Graz brain-computer interface II: towards communication between humans and computers based on online classification of three different EEG patterns. Med. Biol. Eng. Comp. 34 (1996), 382-388.
3. McFarland, D. J.; A. T. Lefkowicz, J. R. Wolpaw: Design and operation of an EEG-based brain-computer interface with digital signal processing technology, Behavior Research Methods, Instruments and Computers. 29 (1997), 337-345.
4. Schlögl, A.; D. Flotzinger, G. Pfurtscheller: Adaptive autoregressive modeling used for single-trial EEG classification. Biomed. Technik 42 (1997), 162-167.
5. Lugger, K; D. Flotzinger, A. Schlögl, M. Pregenzer, G. Pfurtscheller: Feature extraction for on-line EEG classification using principal components and linear discriminants. Med. Biol. Eng. Comp. 36 (1998), 309-314.
6. Flotzinger, D.; J. Kalcher, G. Pfurtscheller: EEG classification by learning vector quantisation. Biomed. Technik 37 (1992), 303-309.
7. Hjorth, B.: EEG analysis based on time domain properties. Electroenc. clin. Neurophys. 43 (1970), 306-310.
8. Rabiner, L.; B. Juang: Fundamentals of Speech Recognition. Prentice Hall PTR. (1993).
9. Guger, Ch.; H. Ramoser, T. Strein, G. Pfurtscheller: Real-time EEG Analysis for a brain-computer interface (BCI) with subject-specific spatial patterns. Submitted for the AAATE99.
10. Neuper, Ch.; A. Schlögl, G. Pfurtscheller: Enhancement of left-right sesorimotor EEG differences during feedback-regulated motor imagery. Clin. Neurophysology (1999), in press.
11. Guger, Ch.: Implementation of different EEG processing algorithms with S-Functions. Master Theses, (1997)
12. Oppenheim, A.V.; R. W. Schafer: Digital Signal Processing. Prentice-Hall, Englewood Cliffs, New Jersey, USA (1993).
13. Bishop, C.M.: Neural Networks for Pattern Recognition. Clarendon Press, Oxford, (1995).
14. Rabiner, L; B. Juang: A Tutorial on Hidden Markov Models in Selected Applications in Speech Recognition. Proceedings of the IEEE 77 (1989) 257-286.
15. Obermaier, B, G. Pfurtscheller: Hidden Markov Models used for the classification of EEG data. Submitted for the AAATE99.
16. Guger, Ch.; A. Schlögl, Ch. Neuper, D. Walterspacher, T. Strein, G. Pfurtscheller: Rapid prototyping of an EEG-based Brain-Computer Interface (BCI) able to run in real-time under Windows and can be Remote Controlled. Submitted for publication IEEE rehab. eng.