时频分析在心率变异性研究中的应用

心率变异(HRV)包含着心血管神经体液调节的大量信息,由于信号提取的无创性,心率变异性分析是近年生理信号分析研究的热点。鉴于动态变化或病理状态下心电信号的非平稳特性,传统的时域和频域HRV分析有一定的局限性,而时频分析法在这方面显示出其明显的优越性。目前较常用的时频分析法有短时傅里叶变换(STFT)、Wigner-Ville分布(WVD)、小波变换等。本研究系统阐述了这3种时频分析方法在HRV分析中的应用,并提出了今后的研究方向和发展前景。

The Application of Time-frequency Analysis in Heart Rate Variability Research

Heart rate variability(HRV) contains a lot of information about cardiovascular nerve and humor regulation.Non-invasive signal acquisition,the investigation on HRV has been a focus in physiological signal analysis.There are limitations in analysis of non-stationary character of ECG signal,especially in dynamic or pathological condition using traditional methods.Time-frequency methods are suitable for the analysis of such non-stationary signals.Short-time Fourier methods(STFT),Wigner-Ville distribution(WVD) and Wavelet Transform(WV) are common time-frequency analysis methods used in time-related spectral analysis of HRV.The application of them is reviewed and the research prospect of time-frequency analysis is also proposed.