Quantitative Analysis of Amplitude-Integrated Electroencephalogram Patterns in Stable Preterm Infants, with Normal Neurological Development at One Year

Niemarkt, Hendrik J.; Andriessen, Peter; Peters, C.H.L.; Pasman, J.W.; Blanco, Carlos E.; Zimmermann, Luc J. I.; Oetomo, Sidarto Bambang

doi:10.1159/000252969

Cited by 37 publications

(23 citation statements)

References 72 publications

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“…To date, discrimination between artifacts and true biological activity mainly has been done by visual editing. The disadvantages of this method are that it is a time-consuming process and a subjective method strongly influenced by the interpreter (16). Trimming the unedited data by removing 5, 10, 15, or 20% of the highest power values, respectively, may give a more representative sample of the true EEG activity.…”

Section: Discussionmentioning

confidence: 99%

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Feasibility of Long-Term Continuous EEG Monitoring During the First Days of Life in Preterm Infants: An Automated Quantification of the EEG Activity

et al. 2011

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Long-term EEG monitoring (LTM) with several electrodes could be a useful tool for surveillance of the brain during the first critical days of life. This study aimed to assess the feasibility of multichannel LTM for automated analysis of EEG activity from d 1 to 3 using eight electrodes. Premature infants (GA Ͻ31 wk; n ϭ 48) were continuously monitored for 3 d. EEG monitoring for a total of 3257 h was successfully performed. Total absolute band power (tABP) was calculated per second. Artifacts were removed visually or by an algorithm removing the highest 5, 10, 15, and 20% tABPs. NS difference was found between the trends of visually edited and 5% mathematically trimmed data. Two groups were compared (24 Յ GA Ͻ 28 wk and 28 Յ GA Ͻ 31 wk) using the median of tABP for all frequency bands per day. The results showed that tABP differed between groups. The changes of tABP d 1-3 were equal in both groups. Automatically assessed LTM confirms that the EEG activity depends on GA. However, it reveals that the early changes (d 1-3) are independent of GA. The study demonstrates the feasibility of multichannel LTM and the possibility of developing automated EEG analyses. (Pediatr Res 69: 413-417, 2011)

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Section: Discussionmentioning

confidence: 99%

“…Another problem is the lack of an algorithm for reliable EEG analyses and thus the dependency of the time-consuming visual editing for identifying and removing artifacts in a LTM (11)(12)(13)(14)(15). In addition, visual editing is a subjective method that requires high interpreter competence and experts may come to different conclusions (16).…”

mentioning

confidence: 99%

Feasibility of Long-Term Continuous EEG Monitoring During the First Days of Life in Preterm Infants: An Automated Quantification of the EEG Activity

et al. 2011

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“…[41][42][43][44][45][46] Olischar et al 43 determined reference values of aEEG tracings in such infants, and characterized their background patterns as continuous, discontinuous high voltage and discontinuous low voltage. By monitoring this population over the first two weeks of life, this study showed that the amount of continuous activity increased with higher GA, whereas the amount of discontinuous activity decreased with higher GA.…”

Section: Introductionmentioning

confidence: 99%

Using amplitude-integrated EEG in neonatal intensive care

Tao

Mathur

2010

J Perinatol

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The implementation of amplitude-integrated electroencephalography (aEEG) has enhanced the neurological monitoring of critically ill infants. Limited channel leads are applied to the patient and data are displayed in a semilogarithmic, time-compressed scale. Several classifications are currently in use to describe patient tracings, incorporating voltage criteria, pattern recognition, cyclicity, and the presence or absence of seizures. In term neonates, aEEG has been used to determine the prognosis and treatment for those affected by hypoxic-ischemic encephalopathy, seizures, meningitis and even congenital heart disease. Its application as inclusion criteria for therapeutic hypothermia remains controversial. In preterm infants, normative values and patterns corresponding to gestational age are being established. As these standards emerge, the predictive value of aEEG increases, especially in the setting of preterm brain injury and intraventricular hemorrhage. The sensitivity and specificity of aEEG are enhanced by the display of a simultaneous raw EEG, which aids interpretation. Caution must be taken when using and interpreting this tool in conjunction with certain medications and in the setting of less experienced staff. Continuing efforts at developing software that can aid seizure detection and background classification will enhance the bedside utility of this tool.

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“…In this paper, we managed to obtain the accurate amplitude of the aEEG margin, which largely enhanced the objectivity of data interpretation. Quantitative aEEG margins can be obtained along with graphical tracing in some new digital aEEG devices (e.g., the NicoletOne monitor [19]) or in some off-line software (e.g., Brainz Analyze Research [5]). We believe that the aEEG algorithm, including margin display and quantitative output, can be used successfully for both individual CFMs and full-scale EEG monitoring systems.…”

Section: Discussionmentioning

confidence: 99%

“…The maximum and minimum amplitudes in each epoch were detected as the upper and the lower terminal points of the associated aEEG vertical line. The time resolution of the compact aEEG was 15 s [19].…”

Section: Segmentation and Terminal Point Extractionmentioning

confidence: 99%

Calculation of compact amplitude-integrated EEG tracing and upper and lower margins using raw EEG data

Zhang¹,

Ding²

2013

Health

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Amplitude-integrated EEG (aEEG) is a popular method for monitoring cerebral function. Although various commercial aEEG recorders have been produced, a detailed aEEG algorithm currently is not available. The upper and lower margins in the aEEG tracing are the discriminating features for data inspection and tracing classification. However, most aEEG devices require that these margins be measured semi-subjectively. This paper proposes a step-by-step signal-processing method to calculate a compact aEEG tracing and the upper/lower margin using raw EEG data. The high accuracy of the algorithm was verified by comparison with a recognized commercial aEEG device based on a representative testing dataset composed of 72 aEEG data. The introduced digital algorithm achieved compact aEEG tracing with a small data size. Moreover, the algorithm precisely represented the upper and lower margins in the tracing for objective data interpretation. The described method should facilitate aEEG signal processing and further establish the clinical and experimental application of aEEG methods.

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Quantitative Analysis of Amplitude-Integrated Electroencephalogram Patterns in Stable Preterm Infants, with Normal Neurological Development at One Year

Cited by 37 publications

References 72 publications

Feasibility of Long-Term Continuous EEG Monitoring During the First Days of Life in Preterm Infants: An Automated Quantification of the EEG Activity

Feasibility of Long-Term Continuous EEG Monitoring During the First Days of Life in Preterm Infants: An Automated Quantification of the EEG Activity

Using amplitude-integrated EEG in neonatal intensive care

Calculation of compact amplitude-integrated EEG tracing and upper and lower margins using raw EEG data

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