癫痫特征 meaning in English

epileptic character

Eeg signal is an important method in clinical disease diagnosed , neurophysiology , brain research , etc . automatic detection of epileptic waves in eeg signal and eeg signal prediction is of great significance for clinical application , long - term monitoring ( i . e . eeg holter ) and treatment and control of epilepsy
脑电( eeg )信号中癫痫特征波的自动检测以及脑电信号的预测在临床检测、脑电监护、癫痫等脑疾病的控制与治疗上均有很重要的意义。
It has such feathers as multi - resolution , constant relative bandwidth , and the ability to indicate the local features of signal in time and space . after wavelet transform by using proper wavelet basis functions , the epileptic waves can be separated at different scale , then we can detect the epileptic waves by using the wavelet transform result at the proper threshold value
本文选取适当的小波函数，将信号进行连续小波变换，把脑电信号中的癫痫特征波在不同的尺度下分离出来，然后选取特定尺度下的变换结果，通过阈值判定方法对棘波进行检测。