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。
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 as- sembly 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.
出处
《现代电子技术》
2007年第11期109-111,共3页
Modern Electronics Technique
基金
福建省教育厅科技项目(JAO04238)
集美大学校教改项目(JY05083)
