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Development of a realistic head model for EEG event-detection and source localization in newborn infants

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Abstract
In this work we present an integrated method for electroencephalography (EEG) source localization in newborn infants, based on a realistic head model. To build a realistic head model we propose an interactive hybrid segmentation method for T1 magnetic resonance images (MRI), consisting of active contours, fuzzy c-means (FCM) clustering and mathematical morphology. Subsequently, we solve the localization problem using a spike train detection algorithm and an algorithm that deals with the forward and inverse problem. The performance of this fused method indicates that our realistic head model is suitable for the accurate localization of the EEG activity. We will present both initial qualitative and quantitative results.
Keywords
SEGMENTATION, BRAIN, MR-IMAGES

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Chicago
Despotovic, Ivana, Wouter Deburchgraeve, Hans Hallez, Ewout Vansteenkiste, and Wilfried Philips. 2009. “Development of a Realistic Head Model for EEG Event-detection and Source Localization in Newborn Infants.” In EMBC : 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-20, 2296–2299. New York, NY, USA: IEEE.
APA
Despotovic, I., Deburchgraeve, W., Hallez, H., Vansteenkiste, E., & Philips, W. (2009). Development of a realistic head model for EEG event-detection and source localization in newborn infants. EMBC : 2009 annual international conference of the IEEE Engineering in Medicine and Biology Society, vols 1-20 (pp. 2296–2299). Presented at the 31st Annual international conference of the IEEE Engineering in Medicine and Biology Society : Engineering the future of biomedicine (EMBC 2009), New York, NY, USA: IEEE.
Vancouver
1.
Despotovic I, Deburchgraeve W, Hallez H, Vansteenkiste E, Philips W. Development of a realistic head model for EEG event-detection and source localization in newborn infants. EMBC : 2009 annual international conference of the IEEE Engineering in Medicine and Biology Society, vols 1-20. New York, NY, USA: IEEE; 2009. p. 2296–9.
MLA
Despotovic, Ivana et al. “Development of a Realistic Head Model for EEG Event-detection and Source Localization in Newborn Infants.” EMBC : 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-20. New York, NY, USA: IEEE, 2009. 2296–2299. Print.
@inproceedings{705787,
  abstract     = {In this work we present an integrated method for electroencephalography (EEG) source localization in newborn infants, based on a realistic head model. To build a realistic head model we propose an interactive hybrid segmentation method for T1 magnetic resonance images (MRI), consisting of active contours, fuzzy c-means (FCM) clustering and mathematical morphology. Subsequently, we solve the localization problem using a spike train detection algorithm and an algorithm that deals with the forward and inverse problem. The performance of this fused method indicates that our realistic head model is suitable for the accurate localization of the EEG activity. We will present both initial qualitative and quantitative results.},
  author       = {Despotovic, Ivana and Deburchgraeve, Wouter and Hallez, Hans and Vansteenkiste, Ewout and Philips, Wilfried},
  booktitle    = {EMBC : 2009 annual international conference of the IEEE Engineering in Medicine and Biology Society, vols 1-20},
  isbn         = {9781424432950},
  keywords     = {SEGMENTATION,BRAIN,MR-IMAGES},
  language     = {eng},
  location     = {Minneapolis, MN, USA},
  pages        = {2296--2299},
  publisher    = {IEEE},
  title        = {Development of a realistic head model for EEG event-detection and source localization in newborn infants},
  url          = {http://dx.doi.org/10.1109/IEMBS.2009.5335052},
  year         = {2009},
}

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