A Blood Flow Volume Linear Inversion Model Based on Electromagnetic Sensor for Predicting the Rate of Arterial Stenosis.
This paper presents a mathematical model of measuring blood flow based on electromagnetic induction for predicting the rate of arterial stenosis. Firstly, an electrode sensor was used to collect the induced potential differences from human skin surface in a uniform magnetic field. Then, the inversion matrix was constructed by the weight function theory and finite element method. Next, the blood flow volume inversion model was constructed by combining the induction potential differences and inversion matrix. Finally, the rate of arterial stenosis was predicted based on mathematical relationship between blood flow and the area of arterial stenosis. To verify the accuracy of the model, a uniform magnetic field distribution of Helmholtz coil and a 3D geometric model of the ulnar artery of the forearm with different rates of stenosis were established in COMSOL, a finite element analysis software. Simulation results showed that the inversion model had high accuracy in the measurement of blood flow and the prediction of rate of stenosis, and is of great significance for the early diagnosis of arterial stenosis and other vessel diseases.
['Yang|Dan|D|0000-0002-9790-0851', 'Liu|Yan-Jun|YJ|', 'Xu|Bin|B|', 'Duo|Yun-Hui|YH|']
D001158:Arteries D003198:Computer Simulation D003251:Constriction, Pathologic D055590:Electromagnetic Phenomena D004867:Equipment Design D020342:Finite Element Analysis D006801:Humans D016014:Linear Models D008955:Models, Cardiovascular D012039:Regional Blood Flow D012984:Software D014652:Vascular Diseases
electromagnetic sensor artery stenosis weight function finite element COMSOL