Paper available: HMM used for Brain Computer Interface

[Bernhard Obermaier]

The following paper  
'HMM used for the offline classification of EEG data'
is published in 'Biomedizinsche Technik' 1999/6 and is
available from my web page:

http://www-dpmi.tu-graz.ac.at/~obermai/

Abstract:    Hidden Markov models (HMM) are introduced for the offline
classification of single-trail EEG data in a brain-computer interface
(BCI). The HMMs are used to classify Hjorth parameters calculated from
bipolar EEG data, recorded during the imagination of a left or right
hand movement. The effects of different types of HMMs on the recognition
rate are discussed. Furthermore a comparison of the results achieved
with the linear discriminat (LD) and the HMM, is presented.



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Dipl.-Ing. Bernhard Obermaier		obermaier at dpmi.tu-graz.ac.at
	  
                   Institute of Biomedical Engineering
                     Department of Medical Informatics
 
            Infeldgasse 16a, A-8010 Graz, Austria
          Phone: +43-316-873-5311 | Fax: +43-316-873-5349
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