Palmu, K., Stevenson, N., Wikström, S., Hellström-Westas, L., Vanhatalo, S. and Palva, J. M. (2010) Optimization of an NLEO-based algorithm for automated detection of spontaneous activity transients in early preterm EEG. Physiological Measurement, 31(11), N85-N93. (doi: 10.1088/0967-3334/31/11/n02) (PMID:20938065)
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Abstract
We propose here a simple algorithm for automated detection of spontaneous activity transients (SATs) in early preterm electroencephalography (EEG). The parameters of the algorithm were optimized by supervised learning using a gold standard created from visual classification data obtained from three human raters. The generalization performance of the algorithm was estimated by leave-one-out cross-validation. The mean sensitivity of the optimized algorithm was 97% (range 91–100%) and specificity 95% (76–100%). The optimized algorithm makes it possible to systematically study brain state fluctuations of preterm infants.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Palva, Professor Matias |
| Authors: | Palmu, K., Stevenson, N., Wikström, S., Hellström-Westas, L., Vanhatalo, S., and Palva, J. M. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
| Journal Name: | Physiological Measurement |
| Publisher: | IOP Publishing |
| ISSN: | 0967-3334 |
| ISSN (Online): | 1361-6579 |
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