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An SVM based algorithm for analysis and discrimination of dyslexic readers from regular readers using ERPs

机译:基于SVM的阅读障碍者与ERP读者之间的阅读障碍者与普通读者的分析和区分算法

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Dyslexia is a learning disability that impairs a person's ability to decode words accurately and fluently. This deficit can manifest itself in the language-related domain as difficulties in phonological and orthographic working memory, brain systems asynchrony, poor executive function skills and/or poor rapid naming processing. However it is not clear yet whether the dyslexia phenomenon is only related to language or if it can also be seen as a non-language deficit. Moreover, if it is also related to non-language activity, it is important to verify if it is possible to identify dyslexic readers at the earliest stage of information processing for better and effective remediation. Based on this, an effective algorithm was developed for analysis and classification of subjects as either Regular Readers or Dyslexic Readers, by using EEG recorded channels with Event Related Potentials (ERP) methodology during an auditory, short non-linguistic, simple, sub-phonetic choices reaction time task.
机译:阅读障碍是一种学习障碍,会损害一个人准确,流畅地解码单词的能力。这种缺陷可能会在语言相关领域中表现为语音和正字法工作记忆的困难,大脑系统的异步性,执行功能技能差和/或快速命名处理差。但是,目前还不清楚阅读障碍现象是否仅与语言有关,还是也可以视为非语言缺陷。此外,如果它也与非语言活动有关,则重要的是要验证是否有可能在信息处理的最早阶段识别阅读困难的读者,以实现更好而有效的补救。基于此,在听觉,简短的非语言,简单,亚语音过程中,通过使用带有事件相关电位(ERP)方法的EEG记录通道,开发了一种有效的算法,用于将主题分为普通读者或阅读障碍者进行分析和分类选择反应时间任务。

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