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APPLICATION OF WAVELET TRANSFORM TO ANALYSIS OF HUMAN SKIN BLOOD FLUX SIGNAL

机译:小波变换在人体皮肤血流信号分析中的应用

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The traditional parameters to evaluate humanmicrocirculation such as mean values of skin blood flux(SBF) and velocity of skin blood flow measured by laserDoppler flowmetry (LDF) failed to find the biologicaleffects of magnetic field (MF) on human microcirculationaccording to numerous researches. Although thisinefficacy of MF indicated by these traditional parameters,other potential parameters were seldom investigated.Therefore, this study aimed to find other potentialparameters by using time-frequency analysis as indicatorsto investigate whether MF affects human microcirculationin future studies. Continuous wavelet transform which hassuperior frequency resolution in low frequency band wasapplied in present study to convert two dimensional dataof flux signal with low frequency band into threedimensional data involving the temporal and frequencyinformation of the original signal. Six characteristic peaksidentified relating to microvascular mechanism wererecognized in the frequency interval between 0.005 and 2Hz and the amplitude of each peak varied with time. Thismethod may provide a new idea and method for theanalysis and processing human SBF signal and lay afoundation for future study of MF effects on humanmicrocirculation. However, more studies are needed todemonstrate the interesting and encouraging effects of MFon untraditional parameters such as wavelet coefficientsof SBF signal and to explain the precise actionmechanism of MF on human microcirculation.
机译:传统参数评估人 微循环,例如皮肤血流量的平均值 (SBF)和激光测得的皮肤血流速度 多普勒血流仪(LDF)未能找到生物 磁场(MF)对人体微循环的影响 根据众多研究。虽然这个 这些传统参数表明MF无效 很少研究其他潜在参数。 因此,本研究旨在寻找其他潜力 以时频分析为指标的参数 调查MF是否会影响人体微循环 在未来的研究中。连续小波变换具有 低频段的较高频率分辨率为 在本研究中应用以转换二维数据 低频带通量信号分为三个 涉及时间和频率的维度数据 原始信号的信息。六个特征峰 确认与微血管机制有关 在0.005和2之间的频率间隔中识别 Hz和每个峰值的幅度随时间变化。这 该方法可以为 分析和处理人的SBF信号并奠定 MF对人体影响的未来研究的基础 微循环。但是,需要更多的研究来 展示MF有趣而令人鼓舞的效果 非传统参数,例如小波系数 SBF信号并解释精确动作 MF对人体微循环的作用机制。

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