Neonatal Seizure detection using GLCM feature extraction & AlexNet classification
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18779-8.pdf
Reference17 articles.
1. Prasad M, Chow G (2012) Neonatal seizure: what is the cause?. BMJ 345. https://doi.org/10.1136/bmj.e6003
2. Dickmark M, Ågren J, Hellström-Westas L, Jonsson M (2022) Risk factors for seizures in the vigorous term neonate: a population-based register study of singleton births in Sweden. PLoS ONE 17(2):e0264117. https://doi.org/10.1371/journal.pone.0264117
3. Vegda H, Krishnan V, Variane G, Bagayi V, Ivain P, Pressler RM (2022) Neonatal seizures—perspective in low-and middle-income countries. India J Pediatr 89(3):245–253. https://doi.org/10.1007/s12098-021-04039-2
4. Pavel AM, Rennie JM, de Vries LS, Blennow M, Foran A, Shah DK, ... Boylan GB (2020) A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial. Lancet Child Adolesc Health 4(10):740–749. https://doi.org/10.1016/S2352-4642(20)30239-X
5. Bashir RA, Espinoza L, Vayalthrikkovil S, Buchhalter J, Irvine L, Bello-Espinosa L, Mohammad K (2016) Implementation of a neurocritical care program: improved seizure detection and decreased antiseizure medication at discharge in neonates with hypoxic-ischemic encephalopathy. Pediatr Neurol 64:38–43. https://doi.org/10.1016/j.pediatrneurol.2016.07.007
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