loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ninah Koolen 1 ; Anneleen Dereymaeker 2 ; Katrien Jansen 2 ; Jan Vervisch 2 ; Vladimir Matic 1 ; Maarten De Vos 3 ; Gunnar Naulaers 2 and Sabine Van Huffel 1

Affiliations: 1 University of Leuven and iMinds-KU Leuven Future Health Department, Belgium ; 2 University Hospital Gasthuisberg, Belgium ; 3 University of Leuven, iMinds-KU Leuven Future Health Department and University of Oldenburg, Belgium

Keyword(s): Preterm Brain, Symmetry, Channel Symmetry Index, Spectral Power, EEG, One-class SVM, Classification.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Classification ; Health Engineering and Technology Applications ; Pattern Recognition ; Signal Processing ; Software Engineering ; Theory and Methods

Abstract: The automated analysis of the EEG pattern of the preterm newborn would be a valuable tool in the neonatal intensive care units for the prognosis of neurological development. The analysis of the (a)symmetry between the two hemispheres can provide useful information about neuronal dysfunction in early stages. Consecutive and subgroup analyses of different brain regions will allow detecting physiologic asymmetry versus pathologic asymmetry. This can improve the assessment of the long-term neurodevelopmental outcome. We show that pathological asymmetry can be measured and detected using the channel symmetry index, which comprises the difference in power spectral density of contralateral EEG signals. To distinguish pathological from physiological normal EEG patterns, we make use of one-class SVM classifiers.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.235.249.219

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Koolen, N.; Dereymaeker, A.; Jansen, K.; Vervisch, J.; Matic, V.; De Vos, M.; Naulaers, G. and Van Huffel, S. (2014). Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-018-5; ISSN 2184-4313, SciTePress, pages 765-770. DOI: 10.5220/0004922407650770

@conference{icpram14,
author={Ninah Koolen. and Anneleen Dereymaeker. and Katrien Jansen. and Jan Vervisch. and Vladimir Matic. and Maarten {De Vos}. and Gunnar Naulaers. and Sabine {Van Huffel}.},
title={Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2014},
pages={765-770},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004922407650770},
isbn={978-989-758-018-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain
SN - 978-989-758-018-5
IS - 2184-4313
AU - Koolen, N.
AU - Dereymaeker, A.
AU - Jansen, K.
AU - Vervisch, J.
AU - Matic, V.
AU - De Vos, M.
AU - Naulaers, G.
AU - Van Huffel, S.
PY - 2014
SP - 765
EP - 770
DO - 10.5220/0004922407650770
PB - SciTePress