Li Zhangyong, Zhao Zhiqiang, Liu Shengrong, Xie Zhengxiang, Lu Jie
College of Bio-information, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2007 Jun;24(3):504-8.
This study was directed at extracting the rabbit somatosensory evoked potential (SEP), locating and analyzing the waveform of rabbit SEP. The rabbit was narcotized and stimulated by 0.5 Hz electric pulse. Potential of scalp was sampled at 3.764 Hz. Rabbit somatosensory evoked potential was extracted by one-dimension multi-resolution analysis, and continuous wavelet transform (CWT) was employed to locate and analyze the wave of SEP. The study results showed that Single-trail SEP can be extracted by Daubechies wavelet, when wavelet transform result of single-trail was compared with the result of averaged SEP. Wave component of SEP can be located precisely through the method of continuous wavelet transform. Frequency feature of SEP can also be analyzed by CWT. The technique of continuous wavelet transform, which can project a one-dimension signal into a two-dimension time-frequency space, shows good application prospect of processing medical electronic signal.
本研究旨在提取家兔体感诱发电位(SEP),定位并分析家兔SEP的波形。将家兔麻醉后,用0.5Hz的电脉冲进行刺激。头皮电位以3.764Hz的频率进行采样。采用一维多分辨率分析提取家兔体感诱发电位,并利用连续小波变换(CWT)对SEP波形进行定位和分析。研究结果表明,当将单次SEP的小波变换结果与平均SEP结果进行比较时,可通过Daubechies小波提取单次SEP。通过连续小波变换方法可精确地定位SEP的波成分。也可利用CWT分析SEP的频率特征。连续小波变换技术能将一维信号投影到二维时频空间,在处理医学电子信号方面显示出良好的应用前景。