제어로봇시스템학회논문지 (Journal of Institute of Control, Robotics and Systems)

  • 제17권8호
  • /
  • Pages.747-752
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  • 2011
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  • 1976-5622(pISSN)
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  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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운동심상 EEG 패턴분석을 위한 HSA 기반의 HMM 최적화 방법

HSA-based HMM Optimization Method for Analyzing EEG Pattern of Motor Imagery

  • 고광은 (중앙대학교 전자전기공학부) ;
  • 심귀보 (중앙대학교 전자전기공학부)
  • 투고 : 2011.05.20
  • 심사 : 2011.06.20
  • 발행 : 2011.08.01
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초록

HMMs (Hidden Markov Models) are widely used for biological signal, such as EEG (electroencephalogram) sequence, analysis because of their ability to incorporate sequential information in their structure. A recent trends of research are going after the biological interpretable HMMs, and we need to control the complexity of the HMM so that it has good generalization performance. So, an automatic means of optimizing the structure of HMMs would be highly desirable. In this paper, we described a procedure of classification of motor imagery EEG signals using HMM. The motor imagery related EEG signals recorded from subjects performing left, right hand and foots motor imagery. And the proposed a method that was focus on the validation of the HSA (Harmony Search Algorithm) based optimization for HMM. Harmony search algorithm is sufficiently adaptable to allow incorporation of other techniques. A HMM training strategy using HSA is proposed, and it is tested on finding optimized structure for the pattern recognition of EEG sequence. The proposed HSA-HMM can performs global searching without initial parameter setting, local optima, and solution divergence.

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과제정보

연구 과제 주관 기관 : 한국연구재단

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피인용 문헌

  1. Parallel Model Feature Extraction to Improve Performance of a BCI System vol.19, pp.11, 2013, https://doi.org/10.5302/J.ICROS.2013.13.1930
  2. Practical Use Technology for Robot Control in BCI Environment based on Motor Imagery-P300 vol.19, pp.3, 2013, https://doi.org/10.5302/J.ICROS.2013.13.1866
  3. Brain Wave Characteristic Analysis by Multi-stimuli with EEG Channel Grouping based on Binary Harmony Search vol.19, pp.8, 2013, https://doi.org/10.5302/J.ICROS.2013.13.1915