Feature Eztraction of Somatosensory Evoked Potentials Based on ICA for classification of Ezternal Tactile Stimuli in rat

摘要：

Four neural signals are recorded by without stimulation,by stimulation using a toothbrush,pen shaft and needle under an anesthetized rat.First,spectral subtraction is used to reduce noise and the nonlinear energy operator is adopted to detect spikes. Then,independent component analysis is performed with dynamic dimension increase to extract the features and form a feature vector.Finally,kmeans is employed to group the feature vector into different clusters. These four various evoked potentials are separated into respective cluster according to differential percentage of 100%,67%,43%,and 73% individually. The information of monitoring subsystem is applied to assist us in proving of experimental results. The presented methods are successfully utilized to extract the features from various evoked potentials and distinguish the stimulants from different sensory signals.

关键词： Intracortical Somatosensory evoked potential (SEP) Nonlinear energy operator (NEO) Independent component analysis (ICA) Dynamic dimension increase (DDI)

作者: YaoMing Yu RongChin Lo

作者单位: Institute of Computer and Communication Engineering,National Taipei University of Technology,Taiwan, Department of Electronic Engineering,National Taipei University of Technology,Taiwan,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 46-50

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）