A blind approach to reconstruction of aortic blood pressure waveform using gray-box identification of multiple pressure transfer channels

This paper presents a blind approach to the reconstruction of central aortic blood pressure waveform from multiple peripheral blood pressure measurements. The blind channel identification methodology is applied to the gray-box model of the arterial circulatory system to formulate the arterial system identification problem, which is solved using constrained optimization technique. The aortic blood pressure waveform is then reconstructed by de-convolution of the identified gray-box arterial system dynamics. In contrast to most of the previously developed methods for estimating aortic blood pressure waveform, the key merit of the proposed algorithm is its ability to be individualized, i.e., the proposed method can be applied on a per-patient basis. Experimental results show the clinical potential of the proposed algorithm as well as its efficacy to accurately reconstruct the aortic blood pressure waveform.