Journal of Northeastern University Natural Science ›› 2019, Vol. 40 ›› Issue (12): 1695-1699.DOI: 10.12068/j.issn.1005-3026.2019.12.005

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Feasibility Research of Pulse Wave Decomposition Based on Lognormal Function

WANG Lu1, CHEN Xue-wei2, HAO Li-ling2, XU Li-sheng2,3   

  1. 1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China; 2. School of Medicine & Biological Information Engineering, Northeastern University, Shenyang 110169, China; 3. Neusoft Research of Intelligent Healthcare Technology, Co., Ltd., Shenyang 110167, China.
  • Received:2019-02-12 Revised:2019-02-12 Online:2019-12-15 Published:2019-12-12
  • Contact: XU Li-sheng
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Abstract: The feasibility of decomposing pulse wave was evaluated by constructing the blood flow wave based on the Lognormal function. Twenty-three healthy subjects were studied and their noninvasive aortic pulse waves were acquired by using a noninvasive aortic pulse analyzer (AtCor Medical SphygmoCor). The Lognormal function and the triangle function are applied respectively for constructing the blood flow wave, and aortic pressure waveform is decomposed into forward and backward waves by means of the impedance analysis. The reflection parameters including reflection amplitude (RMlog, RMtri) and reflection index (RIlog, RItri) are then calculated. Meanwhile, these parameters are analyzed by the Bland-Altman method and the regression analysis. The estimation of RM and RI has high consistency for these two methods, and their regression equations are RMlog=1.009RMtri-0.007 and RIlog=1.008RItri-0.004, respectively. RMlog has significantly positive correlation with RMtri (r=0.999; P<0.001), and RIlog has significantly positive correlation with RItri (r=0.999; P<0.001). Therefore, it is feasible to decompose the aortic pressure waveform based on the Lognormal function and the performance is better than that of the triangle function.

Key words: pulse wave, wave decomposition, impedance analysis, regression analysis

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