摘要
阐述了用加权平均的原理方法来消除事件相关电位(ERP)中的自发脑电(EEG)干扰,推导算法并进行分析。编程仿真结果表明,加权平均技术在ERP的提取和噪声消除方面有显著的优势。它减少了波形失真度和平均叠加次数,提高了生物医学信号提取水平。随着信号处理技术的发展,ERP提取技术将会进一步提高。
This paper introduces the methods which are to remove spontaneous electroencephalograph(EEG)disturbance from event-related potential(ERP)by using weight average,to develop the arithmetic and analyze it.The results demonstrate that weight average technology has advantages in ERP extraction and noise cancel.Extraction level of biomedical signals is improved by reducing wave distortion and average superposition times.With the development of signal processing,optimized methods removing EEG disturbance from ERP will be put forward.
出处
《医疗卫生装备》
CAS
2003年第11期5-6,共2页
Chinese Medical Equipment Journal
