Matic V - Search Results

1

Multi-sparse signal recovery for compressive sensing.

Liu Y, Gligorijevic I, Matic V, De Vos M, Van Huffel S. Liu Y, et al. Among authors: matic v. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1053-6. doi: 10.1109/EMBC.2012.6346115. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23366076

2

Independent component analysis as a preprocessing step for data compression of neonatal EEG.

Mijovíc B, Matić V, De Vos M, Van Huffel S. Mijovíc B, et al. Among authors: matic v. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:7316-9. doi: 10.1109/IEMBS.2011.6091706. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22256028

3

Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy.

Matic V, Cherian PJ, Jansen K, Koolen N, Naulaers G, Swarte RM, Govaert P, Visser GH, Van Huffel S, De Vos M. Matic V, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:17-20. doi: 10.1109/EMBC.2012.6345860. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23365821

4

Multi-structural signal recovery for biomedical compressive sensing.

Liu Y, De Vos M, Gligorijevic I, Matic V, Li Y, Van Huffel S. Liu Y, et al. Among authors: matic v. IEEE Trans Biomed Eng. 2013 Oct;60(10):2794-805. doi: 10.1109/TBME.2013.2264772. Epub 2013 May 23. IEEE Trans Biomed Eng. 2013. PMID: 23715599

5

Line length as a robust method to detect high-activity events: automated burst detection in premature EEG recordings.

Koolen N, Jansen K, Vervisch J, Matic V, De Vos M, Naulaers G, Van Huffel S. Koolen N, et al. Among authors: matic v. Clin Neurophysiol. 2014 Oct;125(10):1985-94. doi: 10.1016/j.clinph.2014.02.015. Epub 2014 Feb 25. Clin Neurophysiol. 2014. PMID: 24631012

6

Heart rate variability in newborns with hypoxic brain injury.

Matić V, Cherian PJ, Widjaja D, Jansen K, Naulaers G, Van Huffel S, De Vos M. Matić V, et al. Adv Exp Med Biol. 2013;789:43-48. doi: 10.1007/978-1-4614-7411-1_7. Adv Exp Med Biol. 2013. PMID: 23852475

7

Holistic approach for automated background EEG assessment in asphyxiated full-term infants.

Matic V, Cherian PJ, Koolen N, Naulaers G, Swarte RM, Govaert P, Van Huffel S, De Vos M. Matic V, et al. J Neural Eng. 2014 Dec;11(6):066007. doi: 10.1088/1741-2560/11/6/066007. Epub 2014 Oct 31. J Neural Eng. 2014. PMID: 25358441

8

Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants.

Matic V, Cherian PJ, Jansen K, Koolen N, Naulaers G, Swarte RM, Govaert P, Van Huffel S, De Vos M. Matic V, et al. IEEE Trans Biomed Eng. 2016 May;63(5):973-983. doi: 10.1109/TBME.2015.2477946. Epub 2015 Sep 14. IEEE Trans Biomed Eng. 2016. PMID: 26390441

9

Data-driven metric representing the maturation of preterm EEG.

Koolen N, Dereymaeker A, Rasanen O, Jansen K, Vervisch J, Matic V, De Vos M, Naulaers G, Van Huffel S, Vanhatalo S. Koolen N, et al. Among authors: matic v. Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:1492-5. doi: 10.1109/EMBC.2015.7318653. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26736553

10

Automated artifact removal as preprocessing refines neonatal seizure detection.

De Vos M, Deburchgraeve W, Cherian PJ, Matic V, Swarte RM, Govaert P, Visser GH, Van Huffel S. De Vos M, et al. Among authors: matic v. Clin Neurophysiol. 2011 Dec;122(12):2345-54. doi: 10.1016/j.clinph.2011.04.026. Epub 2011 Jun 25. Clin Neurophysiol. 2011. PMID: 21705269

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