A model for generating synthetic arterial blood pressure
Journal
Physiological Measurement
Journal Volume
38
Journal Issue
3
Pages
477-488
Date Issued
2017
Author(s)
Abstract
A new model capable of simulating many important aspects of human arterial blood pressure (ABP) is proposed. Both data-driven approach and physiological principles have been applied to describe the time series of diastolic, systolic, dicrotic notch and dicrotic peak pressure points. Major static and dynamic features of the model can be prescribed by the user, including heart rate, mean systolic and diastolic pressure, and the corresponding physiological control quantities, such as baroreflex sensitivity coefficient and Windkessel time constant. A realistic ABP generator can be used to compile a virtual database of signals reflecting individuals with different clinical conditions and signals containing common artefacts. The ABP model permits to create a platform to assess a wide range of biomedical signal processing approaches and be used in conjunction with, e.g. Kalman filters to improve the quality of ABP signals. ? 2017 Institute of Physics and Engineering in Medicine.
Subjects
Biomedical signal processing
Blood pressure
Physiological models
Arterial blood pressure
Baroreflex
Data-driven approach
Diastolic pressure
Dicrotic notch
Heart rate variability
Physiological principles
Synthetic arterial blood pressure
Systolic pressure
Times series
Heart
arterial pressure
biological model
diastole
heart rate
physiology
pressoreceptor reflex
Arterial Pressure
Diastole
Heart Rate
Models, Cardiovascular
SDGs
Type
journal article