Wavelet Transform for the analysis of EEG signals in patients with oral communications problems

María Viqueira, B. G. Zapirain, A. M. Zorrilla
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引用次数: 1

Abstract

This chapter presents a system for helping people who can't talk or control their movements when communication by speech. The system is based on applying the wavelet transform to EEG signals. In this study it has been used the 64 channels to know in which ones of them exists higher difference between the P300b and the P300a, in order to chose the best four channels that will be used in the application. The results have achieved a 80% success using the bior3.7 the wavelet.
小波变换在口腔沟通障碍患者脑电信号分析中的应用
本章介绍了一个系统,用于帮助那些不能说话或不能控制自己动作的人进行语言交流。该系统基于对脑电信号进行小波变换。在本研究中,我们使用了64个通道来了解P300b和P300a之间哪些通道存在较大的差异,以便选择将在应用中使用的最佳四个通道。结果表明,利用bior3.7的小波变换实现了80%的成功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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