摘要
在处理脑电图(Electroencephalogram,EEG)过程中,对采集到脑电信号的预处理特别重要。文中利用信号分析与处理知识,在Matlab软件平台上仿真分析了不同小波基函数对脑电信号分解和重构的影响,以及利用db5小波基函数对EEG进行5层多尺度分解和重构,仿真信号颤动情况。通过采用不同阈值进行降噪和与低通滤波器的消噪仿真比较,对特定频带仿真结果进行分析和研究。研究结果表明:小波分析在EEG信号预处理降噪中可有效地提取脑电微信号,对EEG在更广的领域里发挥作用具有实用意义。
The pretreatment of collected EEG signals is quite important in processing EEG signals. By adopting the knowledge of signal analysis and processing, we simulate the impact of different wavelet basis functions on the decomposition and reconstruction of EEG signals based on matlab platform. Then we de- compose and reconstruct EEG in a 5-layer multi-scale way by using db5 wavelet basis function, and simu- late the vibration of the signals. By comparing the simulation results of denoising under different thresholds with that under lowpass filters, we analyze and study the results of specific frequency bands. The research shows that in the process of denoising EEG signals, wavelet analysis can extract EEG micro signals effectively, and thus has important value on the practical use of EEG in broader fields.
出处
《南京邮电大学学报（自然科学版）》
2011年第6期37-43,共7页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
南京邮电大学青蓝基金(NY210047)
东南大学生物电子学国家重点实验室开放课题(BJ211005)资助项目
