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首页> 外文期刊>Arabian Journal for Science and Engineering >Formulation of a Novel Classification Indices for Classification of Human Hearing Abilities According to Cortical Auditory Event Potential signals
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Formulation of a Novel Classification Indices for Classification of Human Hearing Abilities According to Cortical Auditory Event Potential signals

机译：根据皮层听觉事件电位信号建立用于人类听觉能力分类的新分类指数

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摘要

The classification of brain response signals as per human hearing ability is a complex undertaking. This study presents a novel formulated index for accurately predicting and classifying human hearing abilities based on the auditory brain responses. Moreover, we presented five classification algorithms to classify hearing abilities [normal hearing and sensorineural hearing loss (SNHL)] based on different auditory stimuli. The brain response signals used were the electroencephalography (EEG) evoked by two auditory stimuli (tones and consonant vowels stimulus). The study was carried out on Malaysian (Malay) citizens with and without normal hearing abilities. A new ranking process for the subjects' EEG data and as well as ranking the nonlinear features will be used to obtain the maximum classification accuracy. The study formulated classification indices (CVHI, PTHI & HAI); these classification indices classify human hearing abilities based on the brain auditory responses using features in its numerical values. The K-nearest neighbor and support vector machine classifiers were quite accurate in classifying auditory brain responses for brain hearing abilities. The proposed indices are valuable tools for classifying brain responses, especially in the context of human hearing abilities.
机译：根据人类的听觉能力对大脑反应信号进行分类是一项复杂的工作。这项研究提出了一种新的公式化索引，用于根据听觉大脑反应准确预测和分类人类的听觉能力。此外，我们提出了五种分类算法，根据不同的听觉刺激对听觉能力进行分类[正常听力和感觉神经性听力损失（SNHL）]。使用的大脑反应信号是由两个听觉刺激（音调和辅音元音刺激）引起的脑电图（EEG）。这项研究是针对有或没有正常听力能力的马来西亚（马来）公民进行的。将对受试者的脑电数据进行新的排序过程，并对非线性特征进行排序，以获得最大的分类精度。该研究制定了分类指数（CVHI，PTHI和HAI）；这些分类指数根据大脑听觉反应使用其数值特征对人的听觉能力进行分类。 K近邻和支持向量机分类器在分类听觉大脑反应的听觉能力方面非常准确。拟议的指标是对大脑反应进行分类的宝贵工具，尤其是在人类听觉能力方面。

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