颈动脉血流多普勒信号的特征提取

基金项目:

高等学校骨干教师资助计划资助

详细信息

Characteristic extraction of Doppler signals from the carotid artery

摘要: 利用小波变换在表征信号瞬态特性上的优点,对颈动脉血流多普勒信号的最大频率曲线进行多尺度小波分析,并从不同尺度模极大值的变化曲线上提取出特征参数.临床初步试用结果表明,该参数比传统声谱图参数以及零极点模型参数对脑血管疾病的诊断具有更好的效果。

Abstract: The maximum frequency waveform of Doppler signals from the carotid artery was analyzed using a multi- scale wavelet transform for its advantage in the signal's transient property characterization. A novel index was extracted from the variation of the maximas of the wavelet transform modulus under the different scales. The results of the clinical application showed that this index has a better effect in the cerebral vascular disease diagnosis than the traditional indices from the spectrogram and the indices from the zero-pole model.