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Measuring brain activity cycling (BAC) in long term EEG monitoring of preterm babies
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Women's and Children's Health, Pediatrics.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Women's and Children's Health, Pediatrics.
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2014 (English)In: Physiological Measurement, ISSN 0967-3334, E-ISSN 1361-6579, Vol. 35, no 7, 1493-1508 p.Article in journal (Refereed) Published
Abstract [en]

Measuring fluctuation of vigilance states in early preterm infants undergoing long term intensive care holds promise for monitoring their neurological wellbeing. There is currently, however, neither objective nor quantitative methods available for this purpose in a research or clinical environment. The aim of this proof-of-concept study was, therefore, to develop quantitative measures of the fluctuation in vigilance states or brain activity cycling (BAC) in early preterm infants. The proposed measures of BAC were summary statistics computed on a frequency domain representation of the proportional duration of spontaneous activity transients (SAT%) calculated from electroencephalograph (EEG) recordings. Eighteen combinations of three statistics and six frequency domain representations were compared to a visual interpretation of cycling in the SAT% signal. Three high performing measures (band energy/periodogram: R = 0.809, relative band energy/nonstationary frequency marginal: R = 0.711, g-statistic/nonstationary frequency marginal: R = 0.638) were then compared to a grading of sleep wake cycling based on the visual interpretation of the amplitude-integrated EEG trend. These measures of BAC are conceptually straightforward, correlate well with the visual scores of BAC and sleep wake cycling, are robust enough to cope with the technically compromised monitoring data available in intensive care units, and are recommended for further validation in prospective studies.

Place, publisher, year, edition, pages
2014. Vol. 35, no 7, 1493-1508 p.
Keyword [en]
brain monitoring, electroencephalography, periodicity, sleep wake cycle
National Category
Physiology Pediatrics
Identifiers
URN: urn:nbn:se:uu:diva-229439DOI: 10.1088/0967-3334/35/7/1493ISI: 000338476000021OAI: oai:DiVA.org:uu-229439DiVA: diva2:736746
Available from: 2014-08-08 Created: 2014-08-07 Last updated: 2017-12-05Bibliographically approved

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Wikstrom, SverreHellström-Westas, Lena

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