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The meaning of character combination for the separation of EEG-data

SummaryStandard EEG risk evaluation works on scoring systems that use different types of questionnaires. Here, an alternative for SIDS (Sudden Infant Death Syndrome) risk detection is presented that is based exclusively on EEG data which possibly could substitute the procedure of questioning the par...

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Bibliographic Details
Published in:Theory in biosciences = Theorie in den Biowissenschaften 2001-06, Vol.120 (2), p.107-114
Main Authors: Schult, Joachim, Querengässer, Jürgen, Breidbach, Olaf, Scheidt, Burghart, Erler, Thomas
Format: Article
Language:English
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Summary:SummaryStandard EEG risk evaluation works on scoring systems that use different types of questionnaires. Here, an alternative for SIDS (Sudden Infant Death Syndrome) risk detection is presented that is based exclusively on EEG data which possibly could substitute the procedure of questioning the parents and allow a direct qualification of the physiological disposition of the individual neonate: Using EEG-characters an approved SIDS-case could be discriminated as well against the group of “healthy” infants as against the “high-risk-group”. The results of this study may confirm the evidence that the EEG analysis can be a promising approach to predict an increased SIDS risk.
ISSN:1431-7613
1611-7530
DOI:10.1007/s12064-001-0011-2