人体脉搏信号的希尔伯特-黄特征提取

脉搏信号包含与心血管相关的特征参数,提取与分析其特征参数能为心血管的初步检测提供一定的参考信息.采用希尔伯特-黄变换对脉搏信号进行时频特征提取,主要包括预处理和特征提取两部分.对小波软阈值滤波后的信号经验模态分解和希尔伯特变换,求取Hilbert谱与边际谱.从Hilbert谱与边际谱中分析了脉搏信号的生理特征反映,对人体心血管等方面健康状况的判断有一定指导意义.

HHT feature extraction of human pulse signal

Characteristic parameters related to cardiovascular is contained pulse signal,certain reference information for the initial detection of cardiovascular is provided by extracting and analyzing the characteristic parameters of pulse signal.Hilbert-Huang transform is used to extract the time-frequency feature of the pulse signal in this thesis,including preprocessing and feature extraction in two aspects.Pulse signal is preprocessed by wavelet soft threshold denoising,the denoised signal is carried out by empirical mode decomposition and Hilbert-Huang transform to attain Hilbert spectrum and marginal spectrum.Physiological characteristic of pulse signal is analysed by Hilbert spectrum and marginal spectrum,which has guiding significance to the determinion of health status of the human pulse.