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Volumn , Issue , 2007, Pages 1518-1523

Semi-supervised clustering for vigilance analysis based on EEG

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; COMPUTER NETWORKS; ELECTROENCEPHALOGRAPHY; FLOW OF SOLIDS; MATHEMATICAL TRANSFORMATIONS;

EID: 51749123346     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371183     Document Type: Conference Paper
Times cited : (19)

References (19)
  • 1
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    • Monitoring an automated system for a single failure: Vigilance and task complexity effects
    • R. Molloy, R. Parasuraman,"Monitoring an automated system for a single failure: vigilance and task complexity effects," Human Factors, vol. 38, pp. 311-322, 1996.
    • (1996) Human Factors , vol.38 , pp. 311-322
    • Molloy, R.1    Parasuraman, R.2
  • 3
    • 85156228862 scopus 로고    scopus 로고
    • Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence
    • S. Makeig, "Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence," Advances in Neural Information Processing Systems, pp. 931-937, 1996.
    • (1996) Advances in Neural Information Processing Systems , pp. 931-937
    • Makeig, S.1
  • 5
    • 0034095166 scopus 로고    scopus 로고
    • Detection of Characteristic Waves of Sleep EEG by Neural Network Analysis
    • T. Shimada, T. Shiina and Y. Saito, "Detection of Characteristic Waves of Sleep EEG by Neural Network Analysis," IEEE Transactions on Biomedical Engineering, vol. 47, pp. 369-379, 2000.
    • (2000) IEEE Transactions on Biomedical Engineering , vol.47 , pp. 369-379
    • Shimada, T.1    Shiina, T.2    Saito, Y.3
  • 8
    • 0036276923 scopus 로고    scopus 로고
    • Automatic Recognition of Alertness and Drowsiness from EEG by an Artificial Neural Network
    • A. Vuckovic, V. Radivojevic, A. C.N. Chen and Dejan Popovic, "Automatic Recognition of Alertness and Drowsiness from EEG by an Artificial Neural Network," Medical Engineering & Physics, vol. 24, pp. 349-360, 2002.
    • (2002) Medical Engineering & Physics , vol.24 , pp. 349-360
    • Vuckovic, A.1    Radivojevic, V.2    Chen, A.C.N.3    Popovic, D.4
  • 9
    • 33846895904 scopus 로고    scopus 로고
    • Monitoring Driver's Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis
    • Engineering in Medicine and Biology Society, pp
    • S. F. Liang, C. T. Lin, R. C. Wu, Y. C. Chen, T. Y. Huang and T. P. Jung, "Monitoring Driver's Alertness Based on the Driving Performance Estimation and the EEG Power Spectrum Analysis," 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5738-5741, 2005.
    • (2005) 27th Annual International Conference of the IEEE , pp. 5738-5741
    • Liang, S.F.1    Lin, C.T.2    Wu, R.C.3    Chen, Y.C.4    Huang, T.Y.5    Jung, T.P.6
  • 13
    • 0028935431 scopus 로고
    • Principal-Component Localization of the Sources of the Background EEG
    • A. C. K. Soong and Z. J. Koles, "Principal-Component Localization of the Sources of the Background EEG," IEEE Transactions on Biomedical Engineering, vol. 42, pp. 59-67, 1995.
    • (1995) IEEE Transactions on Biomedical Engineering , vol.42 , pp. 59-67
    • Soong, A.C.K.1    Koles, Z.J.2
  • 14
    • 0032947239 scopus 로고    scopus 로고
    • Common Spatial Subspace Decomposition Applied to Analysis of Brain Responses under Multiple Task Conditions: A Simulation Study
    • Y. Wanga, P. Bergc and M. Scherga, "Common Spatial Subspace Decomposition Applied to Analysis of Brain Responses under Multiple Task Conditions: A Simulation Study," Clinical Neurophysiology, vol. 110, pp. 604-614, 1999.
    • (1999) Clinical Neurophysiology , vol.110 , pp. 604-614
    • Wanga, Y.1    Bergc, P.2    Scherga, M.3
  • 15
    • 24344458137 scopus 로고    scopus 로고
    • Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy
    • H. Peng, F. Long and C. Ding, "Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, pp. 1226-1238, 2005.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.