基于小波变换和非线性能量算子的神经元放电检测  

Detection of Neural Spikes Based on the Combination of Wavelet Transforms and Nonlinear Energy Operator

作　　者：刘新文[1] 钱志余[1] 王惠南[1] 杨天明[2] 

机构地区：[1]南京航空航天大学自动化学院生物医学工程系,南京210016 [2]东南大学附属中大医院神经外科,南京210009

出　　处：《生物医学工程学杂志》2007年第5期981-985,共5页Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目(30371362)

摘　　要：微电极导向的立体定向手术中,微电极记录的神经元放电信号噪声干扰严重,信噪比变化大,影响着神经元放电脉冲的分析。利用小波变换和非线性能量算子相结合的一种新的方法能检测出神经元放电。通过对临床不同病人、不同特点的神经元放电信号处理,结果表明:该方法能成功地检测出细胞放电,提取出放电波形。The microelectrode recordings of neuron dlscharge, which contain noises, are very complex and apt to be disturbed by many factors during the microelectrode-guided stereotactlc operations. The varying signal-to- noise ratios are obstacles to the analysis of neural spikes. A novel method based on a combination of wavelet-based and non-linear energy operator is presented for the detection of neural spikes. The method is tested for neural signals of different patients and various SNR values. The results demonstrate its performance for successful detection and effective extraction of the waveform of neural spikes.

关 键 词：神经元放电检测 小波变换 非线性能量算子 信噪比 

分 类 号：R318[医药卫生—生物医学工程]