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Automatic detection of epileptic spike using fuzzy ARTMAP neural network

机译:使用模糊ARTMAP神经网络自动检测癫痫发作

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The present paper attempts to introduce a new approach for the automatic detection of epileptic spikes in EEG signal which plays a vital role in diagnosing epilepsy. In this approach, we have detected and classified epileptic spikes by using extracted features and Fuzzy ARTMAP neural network. The performance of classifying system is evaluated by three criteria of sensitivity, selectivity and specificity. For the classifying system applied in the current study, the obtained values of these three criteria are 88.24%, 93.75% and 90.9%, respectively, which compared with MLP classifier system, benefits from a higher speed and precision.
机译:本文试图引入一种新方法来自动检测脑电信号中的癫痫发作,这在诊断癫痫中起着至关重要的作用。在这种方法中,我们通过使用提取的特征和模糊ARTMAP神经网络对癫痫发作进行了检测和分类。分类系统的性能通过敏感性,选择性和特异性三个标准进行评估。对于当前研究中使用的分类系统,这三个标准的获得值分别为88.24%,93.75%和90.9%,与MLP分类器系统相比,受益于更高的速度和精度。

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