Gerla et al., 2008 - Google Patents

Multivariate analysis of full-term neonatal polysomnographic data

Gerla et al., 2008

Document ID
2209454349386378426
Author
Gerla V
Paul K
Lhotska L
Krajca V
Publication year
Publication venue
IEEE Transactions on Information Technology in Biomedicine

External Links

Snippet

Polysomnography (PSG) is one of the most important noninvasive methods for studying maturation of the child brain. Sleep in infants is significantly different from sleep in adults. This paper addresses the problem of computer analysis of neonatal polygraphic signals. We …
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Classifications

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    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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