论文信息 - Data mining and EEG

Data mining and EEG

An overview of Data Mining (DM) and its application to the analysis of EEG is given by (i) presenting a working deenition of DM, (ii) motivating why EEG analysis is a challenging eld of application for DM technology and (iii) by reviewing exemplary work on DM applied to EEG analysis. The current status of work on DM and EEG is discussed and some general conclusions are drawn.

Arthur Flexer | A. Flexer

[1] I. Rezek,et al. Stochastic complexity measures for physiological signal analysis , 1998, IEEE Transactions on Biomedical Engineering.

[2] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .

[3] Herbert Bauer,et al. Monitoring human information processing via intelligent data analysis of EEG recordings , 2000, Intell. Data Anal..

[4] D Lehmann,et al. EEG alpha map series: brain micro-states by space-oriented adaptive segmentation. , 1987, Electroencephalography and clinical neurophysiology.

[5] Blake W. Johnson,et al. High-density mapping in an N400 paradigm: evidence for bilateral temporal lobe generators , 2000, Clinical Neurophysiology.

[6] D. Lehmann,et al. Principles of spatial analysis , 1987 .

[7] Pierre Baldi,et al. Bioinformatics - the machine learning approach (2. ed.) , 2000 .