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Fractal dimension of mean arterial pressure and heart-rate time series from ambulatory blood pressure monitoring devices

机译:动态血压监测装置的平均动脉压和心率时间序列的分形维数

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Ambulatory blood pressure monitoring (ABPM) devices provide 24-hour profiles of mean arterial pressure (MAP) and heart rate (HR) by inflating an arm-cuff every 15 minutes during daytime and every 20 minutes during night-time. Aim of this work is to evaluate whether the intrinsic structure of ABPM dynamics can be described during day and night subperiods by calculating the fractal dimension (FD) of MAP and HR. For this aim, first we evaluated the performances a recently proposed FD estimator on short segments of fractional Brownian motions. Then we applied the new FD estimator on 24-hour ABPM recordings of two healthy volunteers. The FD estimator showed good performances on synthesized data, with lower bias compared to Higuchi''s method. FD estimates of real data tended to be higher during the day. In particular, FD of daytime MAP (1.84 ±0.06 M±SD) was substantially higher than 1.5, suggesting that anticorrelation mechanisms may influence the diurnal long-term regulation of blood pressure
机译:动态血压监测(ABPM)设备通过在白天每隔15分钟和夜间每隔20分钟充气一次袖套来提供24小时的平均动脉压(MAP)和心率(HR)曲线。这项工作的目的是通过计算MAP和HR的分形维数(FD)来评估ABPM动力学的内在结构是否可以在白天和晚上的子时段中描述。为此,首先我们评估了分数布朗运动的短片段上最近提出的FD估计器的性能。然后,我们将新的FD估算器应用于两名健康志愿者的24小时ABPM录音中。 FD估计器在合成数据上表现出良好的性能,与Higuchi的方法相比具有较低的偏差。 FD对实际数据的估计在一天中往往更高。尤其是,白天MAP的FD(1.84±0.06 M±SD)明显高于1.5,这表明抗相关机制可能会影响血压的昼夜长期调节

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