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Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary.

, , , , and . IEEE Trans. Biomed. Eng., 61 (11): 2724-2732 (2014)

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Gaussian Process Modelling as an Indicator of Neonatal Seizure., , , , , and . SPPRA, page 177-182. IASTED/ACTA Press, (2006)Optimal Energy Providing Strategy of Micro-Grid's Operator Based on a Game Theoretical Approach., , , and . CoDIT, page 104-109. IEEE, (2018)Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture., , , and . Neural Networks, (2020)Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel., , , , and . Comput. Biol. Medicine, (2017)Modulation frequency analysis of seizures in neonatal EEG., , , and . ICASSP, page 5879-5883. IEEE, (2014)Temporal evolution of seizure burden for automated neonatal EEG classification., , , , and . EMBC, page 4915-4918. IEEE, (2012)Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture., , , and . CoRR, (2021)Modelling interactions between blood pressure and brain activity in preterm neonates., , , , , and . EMBC, page 3969-3972. IEEE, (2017)Gaussian process internal model control., and . Int. J. Systems Science, 43 (11): 2079-2094 (2012)EEG Signal Description with Spectral-Envelope-Based Speech Recognition Features for Detection of Neonatal Seizures., , , , and . IEEE Trans. Information Technology in Biomedicine, 15 (6): 839-847 (2011)