Alexopoulos V, Kollias S, Leger P, Boccalon H, Csiki Z
Department of Electrical and Computer Engineering, National Technical University of Athens, Greece.
Technol Health Care. 1999;7(2-3):85-101.
This paper presents an application of higher order statistics and spectra to the problem of laser-Doppler Flowmetry (LDF) for microcirculation monitoring. The proposed signal processing technique computes the bispectra of LDF signals after appropriate pre-processing and extracts features which can be used for classification of the signals to a normal or patient category. Bispectra are defined in terms of the third-order moments or cumulants of signals and are shown to contain valuable information for the above classification of LDF signals. Experimental studies, including (a) a set of 17 normal subjects and 69 patients with Raynaud's phenomenon and (b) 50 LDF-signals separated to four groups from patients that have different pathologic characteristics, are described and results are presented which illustrate the performance of the proposed approach when applied to the LDF signals.
本文介绍了高阶统计量和谱在激光多普勒血流仪（LDF）微循环监测问题中的应用。所提出的信号处理技术在进行适当的预处理后计算LDF信号的双谱，并提取可用于将信号分类为正常或患者类别的特征。双谱是根据信号的三阶矩或累积量定义的，并且已证明其包含用于上述LDF信号分类的有价值信息。描述了实验研究，包括（a）一组17名正常受试者和69名患有雷诺现象的患者，以及（b）从具有不同病理特征的患者中分离出的50个LDF信号分成四组，并给出了结果，这些结果说明了所提出的方法应用于LDF信号时的性能。
