TY  - JOUR
  - Stevenson, NJ,Palmu, K,Wikstrom, S,Hellstrom-Westas, L,Vanhatalo, S
  - 2014
  - July
  - Physiological Measurement
  - Measuring brain activity cycling (BAC) in long term EEG monitoring of preterm babies
  - Validated
  - WOS: 19 ()
  - brain monitoring electroencephalography periodicity sleep wake cycle AMPLITUDE-INTEGRATED EEG BIRTH-WEIGHT CHILDREN AUTOMATED DETECTION GESTATIONAL-AGE FETAL BEHAVIOR SLEEP INFANTS ELECTROENCEPHALOGRAPHY PREDICTS METAANALYSIS
  - 35
  - 1493
  - 1508
  - 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.
  - 10.1088/0967-3334/35/7/1493
DA  - 2014/07
ER  - 

@article{V271355905,
   = {Stevenson,  NJ and Palmu,  K and Wikstrom,  S and Hellstrom-Westas,  L and Vanhatalo,  S },
   = {2014},
   = {July},
   = {Physiological Measurement},
   = {Measuring brain activity cycling (BAC) in long term EEG monitoring of preterm babies},
   = {Validated},
   = {WOS: 19 ()},
   = {brain monitoring electroencephalography periodicity sleep wake cycle AMPLITUDE-INTEGRATED EEG BIRTH-WEIGHT CHILDREN AUTOMATED DETECTION GESTATIONAL-AGE FETAL BEHAVIOR SLEEP INFANTS ELECTROENCEPHALOGRAPHY PREDICTS METAANALYSIS},
   = {35},
  pages = {1493--1508},
   = {{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.}},
   = {10.1088/0967-3334/35/7/1493},
  source = {IRIS}
}