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Detection of ‘EEG bursts’ in the early preterm EEG: Visual vs. automated detection

Detection of ‘EEG bursts’ in the early preterm EEG: Visual vs. automated detection

Authors: 
Kirsi Palmu, Sverre Wikström, Eero Hippeläinen, Geraldine Boylang, Lena Hellström-Westas, Sampsa Vanhatalo
Year: 
2010
Journal: 
Clinical Neurophysiology
Abstract: 

Objective

To describe the characteristics of activity bursts in the early preterm EEG, to assess inter-rater agreement of burst detection by visual inspection, and to determine the performance of an automated burst detector that uses non-linear energy operator (NLEO).

Methods

EEG recordings from extremely preterm (n = 12) and very preterm (n = 6) infants were analysed. Three neurophysiologists independently marked bursts in the EEG, the characteristics of bursts were analyzed and inter-rater agreement determined. Unanimous detections were used as the gold standard in estimating the performance of an automated burst detector. In addition, some details of this automated detector were revised in an attempt to improve performance.

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