Sleep apnoea analysis from neural network post-processing - ORA - Oxford University Research Archive

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Journal article

Sleep apnoea analysis from neural network post-processing

Abstract:: Methods of analysis of electroencephalogram (EEG) signals using artificial neural networks are presented, as well as subsequent methods of detection of obstructive sleep apnoea (OSA). The methods of detection described are based on post-processing sleep state probabilities obtained with a 10-6-4 multi-layer perceptron. Results show periodic changes in sleep states highly correlated with changes in blood oxygen saturation.

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APA Style

Siegwart, D., Tarassenko, L., Roberts, S., Stradling, J. R., & Partlett, J. (2016). Sleep apnoea analysis from neural network post-processing. IEE Conference Publication, 409, 427–432.

MLA Style

Siegwart, D., et al. “Sleep Apnoea Analysis from Neural Network Post-Processing.” IEE Conference Publication, no. 409, IEE, 2016, pp. 427–32.

Chicago Style

Siegwart, D, L Tarassenko, S Roberts, JR Stradling, and J Partlett. 2016. “Sleep Apnoea Analysis from Neural Network Post-Processing.” IEE Conference Publication, no. 409: 427–32.
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Authors

+ Siegwart, D More by this author

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Author

+ Tarassenko, L More by this author

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Author

+ Roberts, S More by this author

Institution:

University of Oxford

Division:

MPLS

Department:

Engineering Science

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Author

+ Stradling, JR More by this author

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Author

+ Partlett, J More by this author

Role:

Author

Bibliographic Details

Publisher:: IEE
Journal:: IEE Conference Publication
Issue:: 409
Pages:: 427-432
Publication date:: 1995-01-01
ISSN:: 0537-9989
Source identifiers:: 94128

Item Description

Language:: English
Pubs id:: pubs:94128
UUID:: uuid:bc253ca2-605c-4186-8671-5cf9891ce547
Local pid:: pubs:94128
Deposit date:: 2013-02-20

Terms of use

Copyright date:: 1995

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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