利用全息希尔伯特光谱分析测量动脉血压的幅度变化

IF 0.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Advances in Data Science and Adaptive Analysis Pub Date : 2018-07-01 DOI:10.1142/S2424922X18500079
Jia-Hua Lee, T. Hsiao, Chia-Chi Chang, H. Hsu
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引用次数: 4

摘要

动脉血压(ABP)是临床最重要的心血管指标之一。对ABP信号进行Hilbert-Huang变换(HHT),导致了ABP的可变性。用气压反射灵敏度进一步检测了瞬时纵波间隔变化。然而,ABP信号的瞬时幅度随脉压(PP)变异性的变化尚不清楚。2016年,Holo-Hilbert频谱分析(HHSA)扩展了HHT方法,用于识别信号的调幅(AM)特性。本研究采用该方法研究不同呼吸操作过程中ABP信号的幅度变化。结果表明,AM部分与PP系列和相应的呼吸模式中度相关。PP系列的[公式:见文]值分别为自发呼吸、六周期呼吸和超换气的[公式:见文]和[公式:见文]。自主呼吸、六周期呼吸和过度通气的呼吸模式值分别为[公式:见文]和[公式:见文]。本研究认为,与HHSA相关的ABP信号具有相应的PP序列、呼吸相关活性以及呼吸对PP变异性的影响。这是ABP信号幅度变化的首次证明,在这一领域的进一步研究是有必要的。
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Magnitude Variation of Arterial Blood Pressure Measured Using Holo-Hilbert Spectral Analysis
Arterial blood pressure (ABP) is one of the most crucial cardiovascular indicators in clinical practice. Hilbert–Huang transform (HHT) has been performed on ABP signals and resulted in ABP variability. The instantaneous P-wave interval variation had been further examined with baroreflex sensitivity. However, the instantaneous magnitude variation of ABP signal is still unclear with the pulse pressure (PP) variability. In 2016, Holo–Hilbert spectral analysis (HHSA) extended the HHT method for identifying the amplitude-modulated (AM) characteristics of signals. This method was applied to investigate the magnitude variation of ABP signal during different respiratory manipulations in this study. The results indicated that the AM parts were moderately correlated with PP series and corresponding respiratory patterns. The [Formula: see text]-values on PP series are [Formula: see text], and [Formula: see text] for spontaneous breathing, six-cycle breathing, and hyperventilation, respectively. The values on respiratory patterns are [Formula: see text], and [Formula: see text] for spontaneous breathing, six-cycle breathing, and hyperventilation, respectively. This study concludes that ABP signal with HHSA presents the corresponding PP series, the respiratory-related activities, and the respiratory effect on PP variability. This is the first demonstration of the magnitude variation of ABP signal and further research in this area is warranted.
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来源期刊
Advances in Data Science and Adaptive Analysis
Advances in Data Science and Adaptive Analysis MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
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