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基于DSP的癫痫脑电信号处理
引用本文:雷国伟,郭剑雄,舒强,游荣义.基于DSP的癫痫脑电信号处理[J].现代电子技术,2007,30(11):109-111.
作者姓名:雷国伟  郭剑雄  舒强  游荣义
作者单位:集美大学,理学院,福建,厦门,361021
基金项目:福建省教育厅科研项目;集美大学校科研和校改项目
摘    要:介绍了基于TI公司高速DSP芯片TMS320VC5402的开发平台对癫痫患者的脑电信号进行小波分解,滤除分解后的部分小尺度(高频)成分,保留大尺度(低频)成分,然后对处理后的波形进行重构。采用汇编语言实现定点型TMS320C54xDSP的浮点运算,处理结果既保留了脑电信号的主要信息,又可将高频噪声滤除,有利于对癫痫患者进行临床分析。

关 键 词:小波分解  脑电信号  离散小波变换
文章编号:1004-373X(2007)11-109-03
收稿时间:2006-10-13
修稿时间:2006-10-13

Epileptic EEG Signal Processing Based on DSP
LEI Guowei,GUO Jianxiong,SHU Qiang,YOU Rongyi.Epileptic EEG Signal Processing Based on DSP[J].Modern Electronic Technique,2007,30(11):109-111.
Authors:LEI Guowei  GUO Jianxiong  SHU Qiang  YOU Rongyi
Institution:School of Science,Jimei University,Xiamen,361021 ,China
Abstract:It was introduced to decompose EEG signal of epileptic patient using wavelet transform based on TMS320VC5402 of TI company,among decomposed components,we filtered some of high resolution and preserved those of low resolution.Then reconstruction was applied to the processed signals.Floating-point implementation was realized via assembly language based on fixed-point TMS320VC5402.results show that main useful information of EEG signal has remained while noise with high frequency has been filtered.Which is fit for clinic analyse to epileptic patients.
Keywords:DSP
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