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

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

doi:10.1016/0013-4694(85)91012-0

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

Creutzfeldt, O. D., Bodenstein, G., & Barlow, J. S. (1985). Computerized EEG pattern classification by adaptive segmentation and probability density function classification. Clinical evaluation. Electroencephalography and Clinical Neurophysiology, 60(3), 373-393. doi:10.1016/0013-4694(85)91012-0.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-36FD-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-3700-1

Genre: Journal Article

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Creators:
Creutzfeldt, O. D.¹, Author
Bodenstein, G., Author
Barlow, J. S., Author

Affiliations:
1Abteilung Neurobiologie, MPI for biophysical chemistry, Max Planck Society, ou_578620

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Language(s): eng - English

Dates: Date issued: 1985-05

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1016/0013-4694(85)91012-0

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Title: Electroencephalography and Clinical Neurophysiology

Source Genre: Journal

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Pages: - Volume / Issue: 60 (3) Sequence Number: - Start / End Page: 373 - 393 Identifier: -