Hidden Markov models used for the off line classification of EEG data

被引：16
作者：
Obermaier, B
Guger, C
Pfurtscheller, G
机构：
[1] Graz Univ Technol, Inst Biomed Engn, Dept Med Informat, A-8010 Graz, Austria
[2] Graz Univ Technol, Ludwig Boltzmann Inst Med Informat & Neuroinforma, A-8010 Graz, Austria
来源：
BIOMEDIZINISCHE TECHNIK | 1999年 / 44卷 / 06期
关键词：
event-related desynchronization (ERD); EEG classification; brain-computer interface (BCI); hidden Markov model (HMM);
D O I：
10.1515/bmte.1999.44.6.158
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：158 / 162
页数：5
相关论文
共 16 条
  • [1] Bishop C. M., 1995, NEURAL NETWORKS PATT
  • [2] EEG CLASSIFICATION BY LEARNING VECTOR QUANTIZATION
    FLOTZINGER, D
    KALCHER, J
    PFURTSCHELLER, G
    [J]. BIOMEDIZINISCHE TECHNIK, 1992, 37 (12): : 303 - 309
  • [3] GUER C, 1997, THESIS
  • [4] GUGER C, UNPUB IEEE REHAB ENG
  • [5] GUGER C, REAL TIME EEG ANAL B
  • [6] EEG ANALYSIS BASED ON TIME DOMAIN PROPERTIES
    HJORTH, B
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1970, 29 (03): : 306 - &
  • [7] Graz brain-computer interface II: Towards communication between humans and computers based on online classification of three different EEG patterns
    Kalcher, J
    Flotzinger, D
    Neuper, C
    Golly, S
    Pfurtscheller, G
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1996, 34 (05) : 382 - 388
  • [8] Feature extraction for on-line EEG classification using principal components and linear discriminants
    Lugger, K
    Flotzinger, D
    Schlogl, A
    Pregenzer, M
    Pfurtscheller, G
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1998, 36 (03) : 309 - 314
  • [9] Design and operation of an EEG-based brain-computer interface with digital signal processing technology
    McFarland, DJ
    Lefkowicz, AT
    Wolpaw, JR
    [J]. BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS, 1997, 29 (03): : 337 - 345
  • [10] NEUPER C, 1999, IN PRESS CLIN NEUROP
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