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首页> 外文会议>2015 IEEE Student Symposium in Biomedical Engineering amp; Sciences >Selection of Symlets wavelet function order for EEG signal feature extraction in children with dyslexia
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Selection of Symlets wavelet function order for EEG signal feature extraction in children with dyslexia

机译：Symlets小波函数阶数选择在儿童阅读障碍脑电信号特征中的应用

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摘要

Electroencephalograph (EEG) signal provides information on brain functionalities where electrodes are placed on the surface of the scalp and is suitable in analyzing neurological based disorder such as dyslexia. Known to cause learning disorder, dyslexic tends to utilize different areas of the brain in processing information compared to that of a normal learner. Being non-stationary, the wavelet theory has been extensively used in extracting relevant features from the noisy EEG signal with a wide option of wavelet families. The aim of this paper is to identify a suitable function order within the Symlets family to extract power feature in the EEG signal of dyslexic children during writing. Recorded EEG signals from 8 electrode locations of C3, C4, P3, P4, FC5, FC6, T7 and T8 were analyzed using Symlets function of order 5, 7, 8 and 9. The final selection are based on the order ability to provide the most distinctive variance and consistency in term of its beta band power feature. Results indicated that Symlets of order 5 and 7 (Sym-5, Sym-7) are suitable for extracting power band feature for EEG signal of poor dyslexic children during writing. However, results with capable dyslexic children were inconsistent.
机译：脑电图（EEG）信号可提供有关将电极置于头皮表面的大脑功能的信息，适用于分析基于神经系统的疾病，例如阅读障碍。与正常学习者相比，诵读困难症已知会引起学习障碍，它倾向于利用大脑的不同区域来处理信息。由于非平稳性，小波理论已被广泛用于从噪声脑电信号中提取具有多种小波族选择的相关特征。本文的目的是确定Symlets系列中合适的功能顺序，以在阅读期间从阅读障碍儿童的EEG信号中提取功率特征。使用5、7、8和9阶的Symlets函数分析了来自C3，C4，P3，P4，FC5，FC6，T7和T8的8个电极位置的记录的EEG信号。最终选择基于提供以下功能的订购能力：就其β波段功率特性而言，最鲜明的变化和一致性。结果表明，5级和7级的Symlet（Sym-5，Sym-7）适合于在阅读过程中为贫困的阅读障碍儿童的脑电信号提取功率带特征。然而，有能力的阅读障碍儿童的结果不一致。

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