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

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Summary

Standard 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.

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Authors and Affiliations

  1. TheoLab/Ernst-Haeckel-Haus and the Department of Pediatrics, Friedrich-Schiller University Jena and the Children’s Hospital Cottbus, Germany

    Joachim Schult, Jürgen Querengässer, Olaf Breidbach, Burghart Scheidt & Thomas Erler

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  1. Joachim Schult
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  2. Jürgen Querengässer
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  3. Olaf Breidbach
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  4. Burghart Scheidt
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  5. Thomas Erler
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Correspondence to Joachim Schult.

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Schult, J., Querengässer, J., Breidbach, O. et al. The meaning of character combination for the separation of EEG-data. Theory Biosci. 120, 107–114 (2001). https://doi.org/10.1007/s12064-001-0011-2

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  • DOI: https://doi.org/10.1007/s12064-001-0011-2

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