Comput Math Methods Med - Bayesian assessment of newborn brain maturity from two-channel sleep electroencephalograms.

Tópicos

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Resumo

Newborn brain maturity can be assessed by expert analysis of maturity-related patterns recognizable in polysomnograms. Since 36 weeks most of these patterns become recognizable in EEG exclusively, particularly, in EEG recorded via the two central-temporal channels. The use of such EEG recordings enables experts to minimize the disturbance of sleep, preparation time as well as the movement artifacts. We assume that the brain maturity of newborns aged 36 weeks and older can be automatically assessed from the 2-channel sleep EEG as accurately as by expert analysis of the full polysomnographic information. We use Bayesian inference to test this assumption and assist experts to obtain the full probabilistic information on the EEG assessments. The Bayesian methodology is feasibly implemented with Monte Carlo integration over areas of high posterior probability density, however the existing techniques tend to provide biased assessments in the absence of prior information required to explore a model space in detail within a reasonable time. In this paper we aim to use the posterior information about EEG features to reduce possible bias in the assessments. The performance of the proposed method is tested on a set of EEG recordings.

Resumo Limpo

newborn brain matur can assess expert analysi maturityrel pattern recogniz polysomnogram sinc week pattern becom recogniz eeg exclus particular eeg record via two centraltempor channel use eeg record enabl expert minim disturb sleep prepar time well movement artifact assum brain matur newborn age week older can automat assess channel sleep eeg accur expert analysi full polysomnograph inform use bayesian infer test assumpt assist expert obtain full probabilist inform eeg assess bayesian methodolog feasibl implement mont carlo integr area high posterior probabl densiti howev exist techniqu tend provid bias assess absenc prior inform requir explor model space detail within reason time paper aim use posterior inform eeg featur reduc possibl bias assess perform propos method test set eeg record

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