Estimation of the dynamics of event-related desynchronisation changes in electroencephalograms

Author:

Hiltunen J. K.,Karjalainen P. A.,Partanen J.,Kaipio J. P.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference30 articles.

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2. Barlow, J., Creutzfeldt, O., Michael, D., Houchin, J., andEpelbaum, H. (1981): ‘Automatic adaptive segmentation of clinical EEGs’;Electroencephalogr. Clin. Neurophysiol.,51, pp. 512–525

3. Barlow, J. (1985): ‘Methods of analysis of nonstationary EEGs, with emphasis on segmentation techniques: A comparative review’,Electroencephalogr. Clin. Neurophysiol.,2(3), pp. 267–304

4. Bodenstein, G., andPraetorius, H. (1977a): ‘Pattern recognition of EEG by adaptive segmentation’,in Perkins, W. (Ed.) ‘Biomedical computing’, pp. 20–31 (Pitman Medical)

5. Bodenstein, G., andPraetorius H. (1977b): ‘Feature extraction from the electroencephalogram by adaptive segmentation’,Proc. IEEE,65, pp. 642–652

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