Computerized EEG pattern classification by adaptive segmentation and probability density function classification. Clinical evaluation-Reference-Cited by-同舟云学术

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Computerized EEG pattern classification by adaptive segmentation and probability density function classification. Clinical evaluation

Published:1985-05 Issue:5 Volume:60 Page:373-393
ISSN:0013-4694
Container-title:Electroencephalography and Clinical Neurophysiology
language:en
Short-container-title:Electroencephalography and Clinical Neurophysiology

Author:

Creutzfeldt O.-D,Bodenstein G,Barlow J.S

Publisher

Elsevier BV

Subject

Clinical Neurology,General Neuroscience

Reference16 articles.

1. Methods of analysis of non-stationary EEGs, with emphasis on segmentation techniques: a comparative review;Barlow;J. clin. Neurophysiol.,1985

2. Artifact processing (rejection and minimization) in EEG data processing;Barlow,1985

3. Automatic adaptive segmentationof clinical EEGs;Barlow;Electroenceph. clin. Neurophysiol.,1981

4. Adaptive segmentation of the EEG and its possible application to sleep research;Bodenstein,1984

5. Feature extraction from the electroencephalogram by adaptive segmentation;Bodenstein,1977

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