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Automatic localization of epileptic spikes in eegs of children with infantile spasms

机译:婴儿痉挛症儿童脑电图中癫痫尖峰的自动定位

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A novel methodology is proposed for identifying epileptiform discharges associated with individuals exhibiting Infantile Spasms (ISS) also known as West Syndrome, which is characterized by electroencephalogram (EEG) recordings exhibiting hypsarrythmia (HYPS). The approach to identify these discharges consists of three stages: first - construct the time-frequency domain (TFD) of the EEG recording using matching pursuit TFD (MP-TFD), second - decompose the TFD matrix into two submatrices (W, H) using non-negative matrix factorization (NMF), and third - use the decomposed spectral and temporal vectors to locate the epileptiform discharges, referred to as spikes, during intervals of HYPS. The method was applied to an EEG dataset of five individuals and the identification of spike locations was compared with those which were visually identified by the epileptologists and those obtained using commercially available clinical analysis software. The MP-TFD method resulted in average true positive and false negative percentages of 86% and 14%, respectively, which represents a significant improvement over the clinical software, which achieved average true positive and false negative percentages of 4% and 96%, respectively.
机译:提出了一种新的方法来鉴定与表现出婴儿痉挛症(ISS)的个体相关的癫痫样放电,也被称为West Syndrome,其特征是脑电图(EEG)记录表现出hyperarrythrmia(HYPS)。识别这些放电的方法包括三个阶段:第一-使用匹配追踪TFD(MP-TFD)构造EEG记录的时频域(TFD),第二-将TFD矩阵分解为两个子矩阵(W,H)使用非负矩阵分解(NMF),第三,在HYPS间隔期间,使用分解的频谱和时间矢量来定位癫痫样放电,称为尖峰。将该方法应用于五个人的EEG数据集,并将峰值位置的识别结果与癫痫专家直观识别的位置以及使用市售临床分析软件获得的位置进行了比较。 MP-TFD方法产生的平均真阳性和假阴性百分比分别为86%和14%,这相对于临床软件的显着改进,后者的平均真阳性和假阴性百分比分别为4%和96% 。

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