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On the Individuality of Sleep EEG Spectra

Research in recent years has supported the hypothesis that many properties of the electroencephalogram (EEG) are specific to an individual. In this study, the intra- and inter-individual variations of sleep EEG signals were investigated. This was carried out by analyzing the stability of the average...

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Detalles Bibliográficos
Autores principales: Lewandowski, Achim, Rosipal, Roman, Dorffner, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hogrefe Publishing 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3755818/
https://www.ncbi.nlm.nih.gov/pubmed/23997385
http://dx.doi.org/10.1027/0269-8803/a000092
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author Lewandowski, Achim
Rosipal, Roman
Dorffner, Georg
author_facet Lewandowski, Achim
Rosipal, Roman
Dorffner, Georg
author_sort Lewandowski, Achim
collection PubMed
description Research in recent years has supported the hypothesis that many properties of the electroencephalogram (EEG) are specific to an individual. In this study, the intra- and inter-individual variations of sleep EEG signals were investigated. This was carried out by analyzing the stability of the average EEG spectra individually computed for the Rechtschaffen and Kales (RK) sleep stages. Six EEG channels were used to account for the topographical aspect of the analysis. Validity of the results was supported by considering a wide dataset of 174 subjects with normal sleep. Subjects spent two consecutive nights in the sleep laboratory during which EEG recordings were obtained. High similarity between average spectra of two consecutive nights was found considering an individual. More than 89% of the second night recordings were correctly assigned to their counterparts of the first night. The average spectra of sleep EEG computed for each RK sleep stage have shown a high degree of individuality.
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spelling pubmed-37558182013-08-29 On the Individuality of Sleep EEG Spectra Lewandowski, Achim Rosipal, Roman Dorffner, Georg J Psychophysiol Article Research in recent years has supported the hypothesis that many properties of the electroencephalogram (EEG) are specific to an individual. In this study, the intra- and inter-individual variations of sleep EEG signals were investigated. This was carried out by analyzing the stability of the average EEG spectra individually computed for the Rechtschaffen and Kales (RK) sleep stages. Six EEG channels were used to account for the topographical aspect of the analysis. Validity of the results was supported by considering a wide dataset of 174 subjects with normal sleep. Subjects spent two consecutive nights in the sleep laboratory during which EEG recordings were obtained. High similarity between average spectra of two consecutive nights was found considering an individual. More than 89% of the second night recordings were correctly assigned to their counterparts of the first night. The average spectra of sleep EEG computed for each RK sleep stage have shown a high degree of individuality. Hogrefe Publishing 2013-07-22 /pmc/articles/PMC3755818/ /pubmed/23997385 http://dx.doi.org/10.1027/0269-8803/a000092 Text en © 2013 Federation of European Psychophysiology Societies. Distributed under the Hogrefe OpenMind License (http://dx.doi.org/10.1027/a000001)
spellingShingle Article
Lewandowski, Achim
Rosipal, Roman
Dorffner, Georg
On the Individuality of Sleep EEG Spectra
title On the Individuality of Sleep EEG Spectra
title_full On the Individuality of Sleep EEG Spectra
title_fullStr On the Individuality of Sleep EEG Spectra
title_full_unstemmed On the Individuality of Sleep EEG Spectra
title_short On the Individuality of Sleep EEG Spectra
title_sort on the individuality of sleep eeg spectra
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3755818/
https://www.ncbi.nlm.nih.gov/pubmed/23997385
http://dx.doi.org/10.1027/0269-8803/a000092
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