Klasyfikacja słuchowych potencjałów wywołanych w oparciu o dekompozycję falkową i sieć SVM

M. Suchocki, A. Dobrowolski, E. Majda-Zdancewicz, K. Tomczykiewicz
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引用次数: 1

Abstract

For electrophysiological hearing assessment and diagnosis of brain stem lesions, the most often used are auditory brainstem evoked potentials of short latency. They are characterized by successively arranged maxima as a function of time, called waves. Morphology of the course, in particular, the timing and amplitude of each wave, allow a neurologist to make diagnose, what is not an easy task. a neurologist should be experienced, concentrated, and should have very good perception. in order to support his diagnostic process, the authors have developed an algorithm implementing the automated classification of auditory evoked potentials to the group of pathological and physiological cases, the sensitivity and specificity determined for an independent test group (of 50 cases) of respectively 84% and 88%.
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基于小波分解和SVM网络的听觉电位触发分类
对于脑干病变的电生理听力评估和诊断,最常用的是短潜伏期的听觉脑干诱发电位。它们的特征是依次排列的最大值作为时间的函数,称为波。过程的形态学,特别是每一波的时间和振幅,使神经科医生能够做出诊断,这不是一件容易的事。神经科医生应该经验丰富,注意力集中,并且应该有很好的洞察力。为了支持他的诊断过程,作者开发了一种算法,实现了对病理和生理病例组的听觉诱发电位的自动分类,对独立测试组(50例)的灵敏度和特异性分别为84%和88%。
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