Abstract

Central aortic pressure (CAP) is pathophysiologically more relevant than peripheral pressures for the evaluation of cardiovascular disease. However, the invasive measurement of CAP is restricted in the clinical. In this study, we proposed a new technique to reconstruct CAP using dual-channel peripheral pressure signal based on blind identification. First, we establish a single input multi-output (SIMO) physics-based model, the common model input then can be estimated directly using input subspace (LS) method. In order to demonstrate the feasibility of this technique, we use two interventional surgery patients conducting human trials, in which non-invasive radial and finger blood pressure (BP) waveform as well as reference invasive CAP are recorded simultaneously. The estimated CAP is very closer in morphology to its measured (selected 30s segments, the root mean square errors is 2.02mmHg). In conclusion, noting that dual-peripheral pressure measurements are all non-invasive, it is conducive to the clinical promotion and application.

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