摘要
本研究以可靠、快速提取体感诱发电位为目标,试图解决相干叠加方法既费时又不能反映体感诱发电位时变特征的缺点。运用以自适应噪声减法器和自适应增强器为基础构造的复合自适应滤波器提取体感诱发电位。仿真实验表明,运用复合自适应滤波器可实现从强噪声背景中快速提取体感诱发电位,能更快地识别体感诱发电位的潜伏期及幅值,并且系统性能稳定。
To extract somatosensory evoked potential (SEP) rapidly and reliably. Conventional averaging method is very time-consuming and fail to track trial-to-trial variations both in latency and amplitude. This may also be solved in this study. By using of a multi-adaptive filtering (MAF) technique, which developed from the combination of well-developed adaptive noise canceller and adaptive signa/enhancer, SEP was extracted rapidly and reliably. The simulated results indicate that the MAF can extract the SEP from the extremely noisy background rapidly and stably.
出处
《生物医学工程研究》
2007年第3期223-227,共5页
Journal Of Biomedical Engineering Research
基金
国家人事部高层次留学人员回国资助项目
香港研究基金会基金资助项目(CERGHKU7130/06E)。
关键词
体感诱发电位
复合自适应滤波器
自适应噪声减法器
自适应增强器
信噪比
Somatosensory evoked potential (SEP)
Multi-adaptive filter(MAF)
Adaptive noise canceller (ANC)
Adaptive signal enhancer (ASE)
Signal-to-noise ratio (SNR)