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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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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Publisher:
IEE
Journal:
IEE Conference Publication
Issue:
409
Pages:
427-432
Publication date:
1995-01-01
ISSN:
0537-9989
URN:
uuid:bc253ca2-605c-4186-8671-5cf9891ce547
Source identifiers:
94128
Local pid:
pubs:94128
Language:
English

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