Journal
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL
Volume 32, Issue 3-4, Pages 226-231Publisher
INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJMIC.2019.103651
Keywords
arterial blood pressure; ABP; curve fitting; modelling; bradycardia; tachycardia
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Funding
- National Natural Science Foundation of China [61673075, 61273312]
- Natural Science Foundation of Jiangsu Province [BK20170436, BK20181033]
- Jiangsu Postdoctoral Research Project
- State Scholarship Fund by China Scholarship Council
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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.
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