Abstract
A simplified model of arterial blood pressure intended for use in model-based signal processing applications is presented. The main idea is to decompose the pressure into two components: a travelling wave which describes the fast propagation phenomena predominating during the systolic phase and a windkessel flow that represents the slow phenomena during the diastolic phase. Instead of decomposing the blood pressure pulse into a linear superposition of forward and backward harmonic waves, as in the linear wave theory, a nonlinear superposition of travelling waves matched to a reduced physical model of the pressure, is proposed. Very satisfactory experimental results are obtained by using forward waves, the N-soliton solutions of a Korteweg-de Vries equation in conjunction with a two-element windkessel model. The parameter identifiability in the practically important 3-soliton case is also studied. The proposed approach is briefly compared with the linear one and its possible clinical relevance is discussed.
Original language | English (US) |
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Pages (from-to) | 163-170 |
Number of pages | 8 |
Journal | Biomedical Signal Processing and Control |
Volume | 2 |
Issue number | 3 |
DOIs | |
State | Published - Jul 2007 |
Externally published | Yes |
Keywords
- Arterial blood pressure
- Identifiability
- Solitons
- Windkessel model
ASJC Scopus subject areas
- Signal Processing
- Health Informatics