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首页> 外文会议>Mediterranean Conference on Medical and Biological Engineering and Computing >Effects of Wavelets Analysis on Power Spectral Distributions in Laser Doppler Flowmetry Time Series
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Effects of Wavelets Analysis on Power Spectral Distributions in Laser Doppler Flowmetry Time Series

机译：小波分析对激光多普勒流动时间序列功率谱分布的影响

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The evaluation of endothelium function impairments are of great clinical interest in many vascular diseases and laser Doppler flowmetry (LDF) is the gold standard technique for its evaluation. LDF signals show low-frequency oscillations related to heartbeat, respiratory, myogenic and endothelial activities. Although wavelets analysis (WLT) of LDF has been shown as a better technique than Fourier (FFT) and Short Time Fourier Transform (STFT) in the resolution of these oscillatory components, the overall spectral power modifications have not yet been described. Aim of the paper is to study the effects of WLT analysis on power spectral distributions in LDF. We studied 20 min LDF recordings of 20 obese subjects by PeriFlux LDF system. Signals were detrended by moving average algorithms and transformed by FFT, STFT and WLT for spectral analysis. The spectral power has been calculated in bands I (0.6-2 Hz), II (0.145-06), III (0.052-0.145), IV (0.021-0.052), V (0.0095-0.021) and VI (0.005-0.0095) in percent values of the total spectral power. Results of the ANOVA tests between spectral powers in the six bands by the three different spectral analysis' methods showed that WLT exhibited the highest F-value, reflecting significant difference (p<0.001) between II vs III and IV, III vs V and VI, IV vs V and VI bands. Moreover, while WLT values in I band are significantly lower of those of FFT and STFT, WLT values, both in IV and III band, are significantly higher than those of FFT and STFT (p<0.001). Therefore, the overall effects of WLT analysis on power spectral distributions in LDF time series in the studied population seem to limit the spectral power in the I band moving the power to the III and IV bands with the interesting effect to minimize heart rate variability spectral power enhancing myogenic and neurogenic sympathetic activity spectral power in LDF signals.
机译：对内皮功能障碍的评估对许多血管疾病和激光多普勒流动性（LDF）的临床兴趣很大，是其评价的金标准技术。 LDF信号显示与心跳，呼吸，肌遗传和内皮活动相关的低频振荡。尽管LDF的小波分析（WLT）已经显示为比傅里叶（FFT）和短时间傅里叶变换（STFT）在这些振荡器组件的分辨率中显示出更好的技术，但尚未描述整体谱功率修改。本文的目的是研究WLT分析对LDF中功率谱分布的影响。我们研究了20分钟的LDF系统20分钟的LDF录音。通过移动平均算法和由FFT，STF和WLT转换的信号进行解除，用于光谱分析。在带I（0.6-2Hz），II（0.145-06），III（0.052-0.145），IV（0.021-0.052），V（0.0095-0.021）和VI（0.005-0.0095）中计算光谱功率总光谱功率的百分比值。三种不同光谱分析的六个带的光谱功率之间的ANOVA测试结果表明，WLT表现出最高的F值，反映II VS III和IV，III VS V和VI之间的显着差异（P <0.001） ，IV VS V和VI频段。此外，虽然I频带中的WLT值显着降低了FFT和STFT，但IV和III频带中的WLT值显着高于FFT和STFT（P <0.001）。因此，WLT分析对研究人群的LDF时间序列中的功率谱分布的总体影响似乎限制了I频段中的频谱功率与III和IV频段的电力，以最小化心率可变性光谱功率增强LDF信号中的肌原和神经源性交感神经活性谱功率。

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