Automatic Detector of Abnormal EEG for Preterm Infants-Reference-Cited by-同舟云学术

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Automatic Detector of Abnormal EEG for Preterm Infants

Published:2018 Issue: Volume: Page:82-87
ISSN:1867-8211
Container-title:Internet of Things (IoT) Technologies for HealthCare
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Author:

Jrad Nisrine,Schang Daniel,Chauvet Pierre,Nguyen The Tich Sylvie,Daya Bassam,Gibaud Marc

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-76213-5_12

Reference9 articles.

1. Howson, C., Kinney, M., McDougall, J.L.L.: Born too soon: preterm birth matters. Reprod. Health 10(1). https://doi.org/10.1186/1742-4755-10-S1-S1

2. Deburchgraeve, W., Cherian, P., Vos, M.D., Swarte, R., Blok, J., Visser, G., Govaert, P., Huffel, S.V.: Automated neonatal seizure detection mimicking a human observer reading EEG. Clin. Neurophysiol. 119(11), 2447–2454 (2008)

3. Koolen, N., Jansen, K., Vervisch, J., Matic, V., Vos, M.D., Naulaers, G., Huffel, S.V.: Line length as a robust method to detect high-activity envents: automated burst detection in premature EEG recordings. Clin. Neurophysiol. 125(10), 1985–1994 (2014)

4. Temko, A., Thomas, E., Marnane, W., Lightbody, G., Boylan, G.: EEG-based neonatal seizure detection with support vector machines. Clin. Neurophysiol. 122(3), 464–473 (2010)

5. Joseph, J., Lesevre, N., Dreyfus-Brisac, C.: Spatio-temporal organization of EEG in premature infants and full-term new-borns. Electroencephalogr. Clin. Neurophysiol. 40(2), 153–168 (1976)

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