Design of a Multi-Feature Classification Scheme for Infant Epileptic Seizures-Reference-Cited by-同舟云学术

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Design of a Multi-Feature Classification Scheme for Infant Epileptic Seizures

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Torakis Ioannis¹,Antonakakis Marios¹,Bei Ekaterini S.¹,Gikas Petros²,Sakkalis Vangelis³,Zervakis Michalis¹

Affiliation:

1. Technical University of Crete,School of Electrical and Computer Engineering,Chania, Crete, Hellas,73100

2. Technical University of Crete,School of Chemical and Environmental Engineering,Chania, Crete, Hellas,73100

3. Institute of Computer Science,Foundation for Research and Technology,Heraklion, Crete, Hellas,71110

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10341164.pdf?arnumber=10341164

Reference25 articles.

1. Neonatal seizures

2. Efficacy and Safety of Levetiracetam vs. Phenobarbital for Neonatal Seizures: A Systematic Review and Meta-Analysis

3. Clinical implementation of a neonatal seizure detection algorithm

4. A computer-aided detection of EEG seizures in infants: a singular-spectrum approach and performance comparison

5. A multistage knowledge-based system for EEG seizure detection in newborn infants

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