DocumentCode :
3591241
Title :
Data-driven modeling of arterial wave propagation using non-invasive arterial pulse waveforms
Author :
Ghasemi, Zahra ; Jongchan Lee ; Chang-Sei Kim ; Hao-Min Cheng ; Mukkamala, Ramakrishna ; Jin-Oh Hahn
Author_Institution :
Mech. Eng., Univ. of Maryland, College Park, MD, USA
fYear :
2015
Firstpage :
1
Lastpage :
2
Abstract :
This study investigates the validity of two non-invasive arterial pulse waveforms as viable indirect surrogates of arterial blood pressure waveforms, by conducting a data-driven modeling analysis of arterial wave propagation. Using the so-called “tube-load” model, we examined how well the relation between carotid versus femoral tonometry waveforms as well as carotid tonometry versus ankle pulse volume recording waveforms can be fitted to the model. Since the tube-load model describes the relationship between proximal versus distal blood pressures, we hypothesized that viable surrogates of blood pressure waveforms must be fitted well by the tube-load model. Preliminary results derived from 4 subjects with cardiovascular diseases indicated that carotid and femoral tonometry waveforms may serve as viable surrogate of arterial BP waveforms while PVR may need additional treatment, which was attributed to the nature of PVR waveforms: they are volume waveforms but not pressure waveforms.
Keywords :
blood pressure measurement; blood vessels; cardiovascular system; diseases; physiological models; wave propagation; waveform analysis; PVR waveform nature; ankle pulse volume recording waveform; arterial BP waveform surrogate; arterial blood pressure waveform surrogate; arterial wave propagation modeling; blood pressure waveform surrogate fitting; cardiovascular disease; carotid tonometry waveform; data-driven modeling analysis; distal blood pressure; femoral tonometry waveform; noninvasive arterial pulse waveform; proximal blood pressure; tube-load model fitting; Analytical models; Computational modeling; Load modeling; Mathematical model; Predictive models; Propagation; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
Print_ISBN :
978-1-4799-8358-2
Type :
conf
DOI :
10.1109/NEBEC.2015.7117065
Filename :
7117065
Link To Document :
بازگشت