Title: Modelling arterial blood pressure waveforms for extreme bradycardia and tachycardia by curve fitting with Gaussian functions

Authors: Yongxin Chou; Ya Gu; Jicheng Liu; Xufeng Huang; Jiajun Lin

Addresses: School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou, China ' School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou, China ' School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou, China ' The East China Science and Technology, Research Institute of Changshu Co., Ltd., Suzhou, China ' The East China Science and Technology, Research Institute of Changshu Co., Ltd., Suzhou, China

Abstract: Arterial blood pressure (ABP) signal contains abundant information about heart beat rhythm and hemodynamic changes which can be employed to predict bradycardia and tachycardia. Thus, a waveform modelling method based on curve fitting is proposed to extract some significant difference between bradycardia and tachycardia. First, the ABP signal is pre-processed and is split into a series of single-period waveform. Then, a single-period ABP waveform model is proposed to describe the change of linear trend and waveform, and a nonlinear least squares method is employed to compute the parameters of the model. The bradycardia and tachycardia data from 2015 PhysioNet/CinC Challenge are engaged as experimental data. The results show that there are significant differences for many of the model parameters between bradycardia and tachycardia.

Keywords: arterial blood pressure; ABP; curve fitting; modelling; bradycardia; tachycardia.

DOI: 10.1504/IJMIC.2019.103651

International Journal of Modelling, Identification and Control, 2019 Vol.32 No.3/4, pp.226 - 231

Received: 26 Jan 2019
Accepted: 07 Mar 2019
Published online: 18 Nov 2019 *

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