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本文提出了一种检测EEG中棘波的新方法。这种方法首先对仿真信号进行时频变换,得到模型棘波的时频特征。EEG信号经过时频变换后,计算EEG信号与模型棘波的时频相关系数,利用相关系数和时频分布中高频部分的能量,给出了一个确定EEG信号中是否含有棘波的指标,并定义这个指标为棘波概率。检测过程中,以棘波概率的大小检测棘波。实际应用表明,这种方法能够准确地检测EEG信号中的癫痫样瞬态特征
This paper presents a new method for detecting spikes in EEG. This method first time-frequency transformation of the simulation signal, the time-frequency characteristics of the model spikes. After time-frequency transform, the EEG signal is processed to calculate the time-frequency correlation coefficient between the EEG signal and the model spike. By using the correlation coefficient and the energy of the high-frequency part of the time-frequency distribution, an EEG signal is obtained to determine whether it contains spikes Define this indicator as spike probability. During the detection, the spikes are detected by the spike probability. Practical applications show that this method can accurately detect epileptiform transient characteristics in EEG signals