A Blood Flow Volume Linear Inversion Model Based on Electromagnetic Sensor for Predicting the Rate of Arterial Stenosis

Sensors

Bin Xu¹  Dan Yang²  Yan-jun Liu²  Yun-hui Duo² 

[1] College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China;College of Information Science and Engineering, Northeastern University, Shenyang 110819, China;

关键词: electromagnetic sensor;    artery stenosis;    COMSOL;    finite element;    weight function;   

DOI  :  10.3390/s19133006

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown