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基于小波变换和非线性能量算子的神经元放电检测
引用本文:刘新文,钱志余,王惠南,杨天明.基于小波变换和非线性能量算子的神经元放电检测[J].生物医学工程学杂志,2007,24(5):981-985.
作者姓名:刘新文  钱志余  王惠南  杨天明
作者单位: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
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。

关 键 词:神经元放电检测  小波变换  非线性能量算子  信噪比
修稿时间:2005-05-16

Detection of Neural Spikes Based on the Combination of Wavelet Transforms and Nonlinear Energy Operator
Liu Xinwen,Qian Zhiyu,Wang Huinan,Yang Tianming.Detection of Neural Spikes Based on the Combination of Wavelet Transforms and Nonlinear Energy Operator[J].Journal of Biomedical Engineering,2007,24(5):981-985.
Authors:Liu Xinwen  Qian Zhiyu  Wang Huinan  Yang Tianming
Institution:1.Dapartment of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China; 2.Department of Neurosurgery,The Affiliated Zhongda Hospital,Southeastern University,Nanjing 210009,China
Abstract:The microelectrode recordings of neuron discharge,which contain noises,are very complex and apt to be disturbed by many factors during the microelectrode-guided stereotactic 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.
Keywords:Neural spike detection Wavelet transform Nonlinear energy operator Signal-to-noise ratio(SNR)
本文献已被 CNKI 维普 万方数据 等数据库收录!
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