Department of Electronic Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain.
Value for Health CoLAB, Lisbon, Portugal.
PLoS One. 2024 Feb 16;19(2):e0298354. doi: 10.1371/journal.pone.0298354. eCollection 2024.
The pulse arrival time (PAT) has been considered a surrogate measure for pulse wave velocity (PWV), although some studies have noted that this parameter is not accurate enough. Moreover, the inter-beat interval (IBI) time series obtained from successive pulse wave arrivals can be employed as a surrogate measure of the RR time series avoiding the use of electrocardiogram (ECG) signals. Pulse arrival detection is a procedure needed for both PAT and IBI measurements and depends on the proper fiducial points chosen. In this paper, a new set of fiducial points that can be tailored using several optimization criteria is proposed to improve the detection of successive pulse arrivals. This set is based on the location of local maxima and minima in the systolic rise of the pulse wave after fractional differintegration of the signal. Several optimization criteria have been proposed and applied to high-quality recordings of a database with subjects who were breathing at different rates while sitting or standing. When a proper fractional differintegration order is selected by using the RR time series as a reference, the agreement between the obtained IBI and RR is better than that for other state-of-the-art fiducial points. This work tested seven different traditional fiducial points. For the agreement analysis, the median standard deviation of the difference between the IBI and RR time series is 5.72 ms for the proposed fiducial point versus 6.20 ms for the best-performing traditional fiducial point, although it can reach as high as 9.93 ms for another traditional fiducial point. Other optimization criteria aim to reduce the standard deviation of the PAT (7.21 ms using the proposed fiducial point versus 8.22 ms to 15.4 ms for the best- and worst-performing traditional fiducial points) or to minimize the standard deviation of the PAT attributable to breathing (3.44 ms using the proposed fiducial point versus 4.40 ms to 5.12 ms for best- and worst-performing traditional fiducial points). The use of these fiducial points may help to better quantify the beat-to-beat PAT variability and IBI time series.
脉搏到达时间（PAT）一直被认为是脉搏波速度（PWV）的替代测量指标，尽管一些研究指出该参数不够准确。此外，从连续脉搏波到达中获得的心动周期间隔（IBI）时间序列可以作为 RR 时间序列的替代测量指标，而无需使用心电图（ECG）信号。脉搏到达检测是 PAT 和 IBI 测量都需要的过程，并且取决于选择的适当基准点。在本文中，提出了一组新的基准点，可以使用多种优化标准进行定制，以提高连续脉搏到达的检测。该组基准点基于信号分数差分后的脉搏波收缩期上升中的局部最大值和最小值的位置。已经提出并应用了几种优化标准来对具有不同呼吸频率的受试者的高质量数据库记录进行测试，这些受试者或坐或站。当使用 RR 时间序列作为参考选择适当的分数差分阶数时，获得的 IBI 和 RR 之间的一致性优于其他最先进的基准点。这项工作测试了七种不同的传统基准点。对于一致性分析，IBI 和 RR 时间序列之间差异的中位数标准偏差对于提出的基准点为 5.72ms，对于表现最好的传统基准点为 6.20ms，尽管对于另一个传统基准点，它可以高达 9.93ms。其他优化标准旨在降低 PAT 的标准偏差（使用提出的基准点为 7.21ms，而表现最好和最差的传统基准点分别为 8.22ms 到 15.4ms）或最小化归因于呼吸的 PAT 标准偏差（使用提出的基准点为 3.44ms，而表现最好和最差的传统基准点分别为 4.40ms 到 5.12ms）。使用这些基准点可以帮助更好地量化逐拍 PAT 变异性和 IBI 时间序列。
