Key result
A developed method successfully personalized the lumped parameter model of the coronary artery and cardiovascular system using non-invasive physiological parameters.
A novel computational method allows for the personalization of lumped parameter models of the coronary and cardiovascular systems using readily available non-invasive physiological parameters.
May support non-invasive personalization of coronary models; leaves open prospective clinical validation.
A method which can personalize the lumped parameter model of coronary artery and cardiovascular system based on the non-invasive physiological parameters has been developed. The parameters of system were determined by different physiological parameters. The heart module was determined by aortic pressure and heart rate; the systemic circulation module was determined by cardiac output, height and cardio-ankle vascular index (CAVI), while the CAVI was determined by age and aortic pressure; the coronary module was determined by the target waveforms of coronary flow rate predicted from cardiac output. The considerable results proved that this method could be applied to each patient.
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Li et al. (2018) studied this question. Method to personalize the lumped parameter model of coronary artery was evaluated. A developed method successfully personalized the lumped parameter model of the coronary artery and cardiovascular system using non-invasive physiological parameters.
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