基于最小二乘回归模型的EIT数据分析

EIT data analysis based onleast square regression model

医学电阻抗成像技术(EIT)是当今生物医学工程领域重大研究课题之一。本文利用最小二乘回归模型分析了圆形场EIT扫描数据,实现了场域内干扰物质的相对尺寸及相对位置的确定,为实现EIT动态心肺监测活动奠定基础。

Medical electrical impedance tomography technology（EIT） is an important subject in biomedical engineering field.This paper analyzes the circular field EIT scan data by using least square regression model and achieves the determination to the relative size and position of interfering substances within the field,which provides foundations for EIT dynamic cardiopulmonary monitoring activities.