【摘要】 40HzEEG活动的检测在认识功能障碍的诊断中是非常有用的。但40HzEEG阵发波信号的检测相当困难。在目前的文献中,无例外的采用了窄带滤波与定阈值的方法来识别阵发波信号。如果阈值选择不当,阵发波的误识和漏识的问题可能发生。本文提出了一种新方法。这种方法将自适应技术同AR模型参数识别相结合建立了一套40HzEEG信号检测,处理及分析的完整系统及方法。报告了20例受试者左、右大脑半球的40HzEEG活动的情况。初步的结果表明这种方法是有效的。更多还原

【Abstract】 The measurement of 40Hz EEG activity could be very useful in the diagnosis of cognitive dysfunction. But the detection of 40Hz EEG burst signals is rather difficult. In the present literature concerned, two narrow frequency band filters and given thresholds are adopted to identify the burst signals. But if the thresholds are not adequate, the problem of mis-identification and missing identification may happen. This paper provides a new method which combines adaptive technique with AR model parameter identification so as to establish a complete system and method for detection, processing and analysis of 40Hz EEG signals, and reports the 40Hz EEG activities from the left and right hemispheres of 20 subjects. These preliminary results indicate that the method for 40Hz EEG detection is effective.更多还原