Subject-specific estimation of central aortic blood pressure via system identification: preliminary in-human experimental study

• Published in: Medical & biological engineering & computing Vol. 52; no. 10; pp. 895 - 904
• Main Authors: Fazeli, Nima, Kim, Chang-Sei, Rashedi, Mohammad, Chappell, Alyssa, Wang, Shaohua, MacArthur, Roderick, McMurtry, M. Sean, Finegan, Barry, Hahn, Jin-Oh
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2014; Springer Nature B.V
• Subjects: Aged; Algorithms; Aorta - physiology; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Blood pressure; Blood Pressure - physiology; Blood Pressure Determination - methods; Cardiovascular disease; Cardiovascular system; Circulation; Computer Applications; Coronary vessels; Error analysis; Errors; Estimating techniques; Female; Heart surgery; Human Physiology; Humans; Imaging; Input output; Load; Male; Mathematical models; Medical research; Middle Aged; Models, Cardiovascular; Original Article; Physiology; Polypropylenes; Radiology; Reduction; Reproducibility of Results; Signal processing; Studies; Transfer functions; Validity; Vein & artery diseases; Waveforms; Central aortic blood pressure; System identification; Physiological systems modeling; Cardiovascular monitoring; Physiological signal processing

This paper demonstrates preliminary in-human validity of a novel subject-specific approach to estimation of central aortic blood pressure (CABP) from peripheral circulatory waveforms. In this “Individualized Transfer Function” (ITF) approach, CABP is estimated in two steps. First, the circulatory dy...