Key result
An algorithm based on modulating functions was proposed and illustrated through numerical tests to estimate arterial blood flow and calibrate the conventional Windkessel model.
Why the study?
Measuring arterial blood flow directly is difficult, making its estimation from non-invasive arterial pressure waveforms important for detecting arterial stenosis and diagnosing heart valve diseases.
Answers are grounded in this paper and cite their sources.
A novel algorithm using modulating functions can estimate arterial blood flow and calibrate the Windkessel model from non-invasive arterial pressure waveforms in numerical tests.
Studying the arterial hemodynamic response plays a crucial role in the understanding and the treatment of cardiovascular diseases. Due to the difficulty of measuring the arterial blood flow, its estimation through a particular arterial vessel, using non-invasive arterial pressure waveform measurements, has always been an important topic in physiology. For instance, knowing the blood flow in a specific site of the arterial network helps in the detection of arterial stenosis. It may also help in the diagnosis of heart valve’s diseases. In this paper, an algorithm based on modulating functions is proposed to estimate the arterial blood flow as well as to calibrate the conventional Windkessel model using arterial blood pressure signals measured in a particular site of the arterial system. The algorithm is presented and illustrated through several numerical tests.
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Bahloul et al. (2020) studied Cardiovascular diseases. Algorithm based on modulating functions was evaluated on Estimation of arterial blood flow and calibration of the Windkessel model. An algorithm based on modulating functions was proposed and illustrated through numerical tests to estimate arterial blood flow and calibrate the conventional Windkessel model.
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