Deburchgraeve W, Cherian P J, De Vos M, Swarte R M, Blok J H, Visser G H, Govaert P, Van Huffel S
Department of Electrical Engineering (ESAT), Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, Postbox 02446, 3001 Leuven-Heverlee, Belgium.
Methods Inf Med. 2010;49(5):473-8. doi: 10.3414/ME09-02-0041. Epub 2010 Jun 7.
A common cause for damage to the neonatal brain is a shortage in the oxygen supply to the brain or asphyxia. Neonatal seizures are the most frequent manifestation of neonatal neurologic disorders. Multichannel EEG recordings allow topographic localization of seizure foci.
We want to objectively determine the spatial distribution of the seizure on the scalp, the location in time and order the dominant sources in the brain based on their strength.
In this paper we combine a method based on higher order CP-decomposition with subsequent singular value decomposition (SVD).
We illustrate the abilities of the method on simulated as well as on real neonatal seizure EEG.
The proposed method provides reliable time and spatial information about the seizure, gives a clear overview of what is going on in the EEG and allows easy interpretation.
新生儿脑损伤的一个常见原因是脑供氧不足或窒息。新生儿惊厥是新生儿神经系统疾病最常见的表现形式。多通道脑电图记录可实现癫痫病灶的地形图定位。
我们希望客观地确定癫痫发作在头皮上的空间分布、发作时间以及根据大脑中主要来源的强度对其进行排序。
在本文中，我们将基于高阶CP分解并随后进行奇异值分解（SVD）的方法相结合。
我们展示了该方法在模拟以及真实新生儿癫痫脑电图上的能力。
所提出的方法提供了有关癫痫发作的可靠时间和空间信息，清晰地概述了脑电图中发生的情况，并便于解读。
