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1999 Fiscal Year Final Research Report Summary

Detection Methods of Brain Activity under Visual Cognitive Tasks Based on Information Processing of EEG Signals

Research Project

Project/Area Number 09650477
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field 計測・制御工学
Research InstitutionKyushu Institute of Technology

Principal Investigator

MAEDA Makoto  Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Department of Control Engineering and Science, Research Associate, 情報工学部, 助手 (00274556)

Co-Investigator(Kenkyū-buntansha) INOUE Katsuhiro  Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Department of Control Engineering and Science, Associate Professor, 情報工学部, 助教授 (00150516)
KUMAMARU Kousuke  Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Department of Control Engineering and Science, Professor, 情報工学部, 教授 (30037949)
Project Period (FY) 1997 – 1999
KeywordsElectroencephalogram / Event Related Potential / Visual Evoked Response / Oddball Task / Identification / Signal Processing / Pattern Recognition / Human Interface
Research Abstract

In this research project, we have performed studies on the development of detection method of brain activity under visual cognitive tasks based on information processing of electroencephalogram (EEG) signals and obtained following research results.
1. EEG signal processing methods
We have developed feature extraction and discrimination methods or EEG waves based on AR-model, Quasi ARMAX model and artificial neural networks. And it was also investigated that applied methods or wavelet analysis, blind separation analysis and event related de-synchronization analysis for EEG signals. An adaptive clustering method based on stochastic Newton method was developed and applied to EEG wave analysis. And it was confirmed that ERP (Event Related Potential) waves related to same kind of stimulus were belonged to some classes.
2. Visual stimulating period and effect of eye blink
Optimal visual stimulating period were about 500msec for the discrimination or ERP signals, And eye blinks generated the noise component of EEG waves similar to ERP in shape. The effects of eye blink for the discrimination of EEG waves are under investigation.
3. Discrimination of EEG waves under visual cognitive tasks
The effective electrode positions for the discrimination of ERP were Fz and Pz. Discrimination of stimuli (target or non-target) was tried based on EEG signal processing (AR model and statistical pattern recognition method). The accuracy based on regional EEG signals (spatial filtered signals) ws above 80%. These results suggest that human interface based on EEG signal processing would be feasible in near future.

  • Research Products

    (52 results)

All Other

All Publications (52 results)

  • [Publications] Katsuhiro Inoue: "Feature Extraction Method for EEG Waves by Using MAP Detector of Input Signals with Multi-Discrete-Level Amplitude"Proc. of the 11th IFAC Symposium on System Identification. 1269-1274 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "ウェーブレット解析に基づく睡眠脳波の特徴抽出と認識"第16回SICE九州支部学術講演会予稿集. 189-190 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "睡眠段階の自動判定のアルゴリズム"脳波と筋電図. 25・6. 427-431 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "脳波のコンピュータによる解析"日本臨牀. 56・2. 234-239 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "離散ウェーブレット変換を用いた睡眠脳波ステージ自動判定システムの構築"第37回SICE学術講演会予稿集. 681-682 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "脳波変動に関連する事象関連電位の解析"第17回SICE九州支部学術講演会予稿集. 313-314 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "視覚認識時の脳波変動検出法"第38回SICE学術講演会予稿集. 509-510 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 大岩充: "視覚認識に関連した応答脳波のクラスタリング"第18回SICE九州支部学術講演会予稿集. 271-272 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "呈示視覚刺激に対応する脳波波形の識別を目的とした特徴抽出法"第18回SICE九州支部学術講演会予稿集. 291-292 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "脳波発生機構モデルとMAPアルゴリズムを利用した睡眠脳波ステージに関する特徴抽出"第18期SICE九州支部学術講演会予稿集. 305-306 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "確率ニュートン法を用いた断面平均ボイド率信号のクラスタリング"第36回SICE学術講演会予稿集. 537-538 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 井上勝裕: "確率ニュートン法を用いた断面平均ボイド率信号のクラスタリング"第37回SICE学術講演会予稿集. 657-658 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Hiromu Gotanda: "Necessary Conditions for Multilayer Nets Having Solutions and Convergent Superiority of Bipolar Nets"Proc. of the 11th IFAC Symposium on System Identification. 817-822 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Hiromu Gotanda: "Differnce of Solution Regions due to Net Polarity"Journal of Robotics and Mechatronics. 9・5. 393-397 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Hiromu Gotanda: "Studies on Cardinality of Solutions for Multilayer Nets and a Scaling Method in Hardware"Journal of Robotics and Mechatronics. 398-405 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 白土 浩: "入力集合の可分離性からみた両極型ネットの収束上の優位性"システム制御情報学会論文誌. 190-197 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Hiroshi Shiratsuchi: "A Study on Initialization for BP Networks"Proc. of the 5th international Conference on Neural Information Processing. 1595-1599 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Kousuke Kumamaru: "A Method of Robust Fault Detection for Dynamic Systems by Using Quasi-ARMAX Modeling"Proc. of the 11th IFAC Symposium on System Identification. 1157-1162 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Kousuke Kumamaru: "Fault Detection of Nonlinear Systems by Using Hybrid Quasi-ARMAX Models"Proc. of the IFAC Symposiun on Fault Detection, Supervision and Safety for Technical Processes. 1125-1130 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Jinglu Hu: "A Hybrid Quasi-ARMAX Modeling Scheme for Identification of Nonlinear Systems"計測自動制御学会 論文集. 34・8. 977-985 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Kousuke Kumamaru: "A Method for Threshold Setting in KDI-Based Robust Fault Detection of Nonlinear Systems"Proc. of the 30th ISCIE International Symposium on Stochastic Systems Theory and Its Applications. 19-24 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Jinglu Hu: "KDI-Based Robust Fault Detection in Presence of Nonlinear Undermodeling"計測自動制御学会 論文集. 35・2. 200-207 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Jinglu Hu: "An Indirect Approach to Adaptive Control of Nonlinear Systems Using Quasi-ARMAX Model"Proc. of the 14th IFAC World Congress. 391-396 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Makoto Maeda: "3-D Surface Recovery From Range Images by Using Multiresolution Wavelet Transform"Proc. of IEEE International Conference on Systems, Man, and Cybernetics. 3654-3659 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Makoto Maeda: "Surface Reconstruction Based on B-spline Functions and Its Application to Multiresolution Analysis"Proc. of the 29th ISCIE International Symposium on Stochastic Systems Theory and Its Applications. 121-126 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Makoto Maeda: "Surface Recovery by Using Regularization Theory and Its Application to Multiresolution Analysis"Proc. of the 14th International conference on pattern recognition (ICPR). 19-23 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] K.Inoue, K.Kumamaru & S.Matsuoka: "Feature Extraction Method for EEG Waves by Using MAP Detector of Input Signals with Multi-Discrete-Level Amplitude"Proc.of the 11th IFAC Symposium on System Identification. 1269-1274 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru, Y.Takeshita, D.Takahashi: "Feature Extraction and Recognition of EEG by Using Wavelet Transform"Preprints of the 16th SICE Annual Meeting in Kyushu Branch. 189-190 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru & S.Matsuoka: "Automatic Determination Algorithm of Human EEG Sleep Stages"Japanese Journal of Electroencephalography and Electromyography. 25, No.6. 427-432 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru & S.Matsuoka: "Computer Analysis of Electroencephalogram"Japanese Journal of Clinical Medicine. 56, No.2. 234-239 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru, Y.Takeshita, D.Takahashi & S.Matsuoka: "Automatic Stage Determination System of Human Sleep EEG by Using Wavelet Transform"Preprints of the 37th SICE Annual Meeting. 681-682 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru & N.Hayakawa: "Analysis of ERP Related to EEG Activity"Preprints of the 17th SICE Annunal Meeting in Kyushu Branch. 313-314 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru, S.Matsuoka, N.Hayakawa, N.Houki &M.Morinaga: "Discrimination Method for EEG Activity under the Visual Recognition Task"Preprints of the 38th SICE Annunal Meeting. 509-510 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] M.Ooiwa, K.Inoue, K.Kumamaru & S.Matsuoka: "Clustering of Visual Event Related Potential"Preprints of the 18th SICE Annunal Meeting in Kyushu Branch. 271-272 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru, N.Hayakawa & S.Matsuoka: "Feature Extraction Method for Discrimination of EEG Waves related to the Proposed Visual Stimuli"Preprints of the 18th SICE Annunal Meeting in Kyushu Branch. 291-292 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru, M.Ooiwa & S.Matsuoka: "Feature Extraction Method of Human sleep EEG by Using MAP Algorithm based on EEG Generatin Model"Preprints of the 18th SICE Annunal Meeting in Kyushu Branch. 305-306 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru, T.Hamada & K.Sekoguchi: "A Classification Method of the Cross-sectional Mean Void Fraction Signals with A Stochastic Newton Method"Preprints of the 36th SICE Annunal Meeting. 537-538 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Inoue, K.Kumamaru, T.Hamada & K.Sekoguchi: "A Classification Method of the Cross-sectional Mean Void Fraction Signals based on a Stochastic Newton Method"Preprints of the 37th SICE Annunal Meeting. 657-658 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] H.Gotanda, H.Shiratsuchi, K.Inoue&K.Kumamaru: "Necessary Conditions for Multilayer Nets Having Solutions and Convergent Superiority of Bipolar Nets"Proc.of the 11th IFAC Symposium on System Identification. 817-822 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] H.Gotanda, H.Shiratsuchi, K.Inoue&K.Kumamaru: "Difference of Solution Regions due to Net Polarity"Journal of Robotics and Mechatronics. 9, No.5. 393-397 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] H.Gotanda, H.Shiratsuchi, K.Inoue&K.Kumamaru: "Studies on Cardinality of Solutions for Multilayer Nets and a Scaling Method in Hardware"Journal of Robotics and Mechatronics. 9, No5. 398-405 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] H.Shiratsuchi, H.Gotanda, K.Inoue&K.Kumamaru: "Convergent Superiority of Bipolar Nets from the Viewpoint of Input Set Separability"Systems, Control and Information. 11, No.4. 190-197 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] H.Shiratsuchi, H.Gotanda, K.Inoue&K.Kumamaru: "A study on Initialization for BP Networks"Proc.of the 5th International Conference on Neural Information Processing. 1595-1599 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Kumamaru, J.Hu, K.Inoue&Y.Soderstrom: "A Method of Robust Fault Detection for Dynamic Systems by Using Quasi-ARMAX Modeling"Proc.of the 11th IFAC Symposium on System Identification. 1157-1162 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Kumamaru, J.Hu, K.Inoue&Y.Soderstrom: "Fault Detection of Nonlinear Systems by Using Hybrid Quasi-ARMAX Models"Proc.of the IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes. 1125-1130 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] J.Hu, K.Kumamaru, K.Inoue&K.Hirasawa: "A Hybrid Quasi-ARMAX Modeling Scheme for Identification of Nonlinear System"Transactions of the Society of Instrument and Control Engineers. 34, No.8. 977-985 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Kumamaru, K.Inoue&S.Furukawa: "A Method for Threshold Setting in KDI-Based Robust Fault Detection of Nonlinear Systems"Proc.of the 30th ISCIE International Symposium on Stochastic Systems Theory and Its Applications. 19-24 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] J.Hu, K.Kumamaru, K.Inoue&K.Hirasawa: "KDI-Based Robust Fault Detection in Presence of Nonlinear Undermodeling"Transactions of the Society of Instrument and Control Engineers. 35, No2. 200-207 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] J.Hu, K.Kumamaru, K.Hirasawa &K.Inoue: "An Indirect Approach to Adaptive Control of Nonlinear System Using Quasi-ARMAX Model"Proc.of the 14th IFAC World Congress. 391-396 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] M.Maeda, K.Kumamaru, H.Zha &K.Inoue: "3-D Surface Recovery from Range Images by Using Multiresolution Wavelet Transform"Proc.of IEEE International Conference on Systems, Man, and Cybernetics. 4. 3654-3659 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] M.Maeda, K.Kumamaru, H.Zha &K.Inoue: "Surface Reconstruction Based on B-spline Functions and Its Application to Muliresolution Analysis"Proc.of the 30th ISCIE International Symposium on Stochastic Systems Theory and Its Applications. 121-126 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] M.Maeda, K.Kumamaru, H.Zha &K.Inoue: "Surface Recovery by Using Regularization Theory and Its Application Analysis"Proc.of the 14th International Conference on Pattern Recognition(ICPR). 1. 19-23 (1998)

    • Description
      「研究成果報告書概要(欧文)」より

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Published: 2001-10-23  

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