Blind Identification of the Central Aortic Pressure Waveform from Multiple Peripheral Arterial Pressure Waveforms

Gokul Swamy, Qi Ling, Tongtong Li, Ramakrishna Mukkamala

Abstract: We introduce a blind identification technique to reconstruct the clinically more relevant central aortic pressure waveform from multiple less invasively measured peripheral arterial pressure waveforms. We conducted initial testing of the technique in two swine in which peripheral arterial pressure waveforms from the femoral and radial arteries and reference central aortic pressure were simultaneously measured during diverse hemodynamic conditions. We report an overall error between the estimated and measured central aortic pressure waveforms of 4.8%. Potential clinical applications of the technique may include critical care monitoring with respect to invasive catheter systems and emergency and home monitoring with respect to non-invasive arterial pressure transducers.

External IDs:dblp:conf/embc/SwamyLLM06