Department of Cardiology, South Warwickshire NHS Foundation Trust, Warwick, United Kingdom.
Creavo Medical Technologies, Coventry, United Kingdom.
Biomed Phys Eng Express. 2021 Feb 23;7(2). doi: 10.1088/2057-1976/abe5c5.
The aim of this paper is to present the use of a portable, unshielded magnetocardiograph (MCG) and identify key characteristics of MCG scans that could be used in future studies to identify parameters that are sensitive to cardiac pathology. We recruited 50 patients with confirmed myocardial infarction (MI) within the past 12 weeks and 46 volunteers with no history of cardiac disease. A set of 38 parameters were extracted from MCG features including both signals from the sensor array and from magnetic images obtained from the device and principal component analysis was used to concentrate the information contained in these parameters into uncorrelated predictors. Linear fits of these parameters were then used to examine the ability of MCG to distinguish between sub-groups of patients. In the first instance, the primary aim of this study was to ensure that MCG has a basic ability to separate a highly polarised patient group (young controls from post infarction patients) and to identify parameters that could be used in future studies to build a formal diagnostic tool kit. Parameters that parameterised left ventricular ejection fraction (LVEF) were identified and an example is presented to show differential low and high ejection fractions.
本文旨在介绍一种便携式、非屏蔽的磁心图(MCG)的使用,并确定 MCG 扫描的关键特征,这些特征可用于未来的研究,以确定对心脏病理学敏感的参数。我们招募了 50 名在过去 12 周内确诊为心肌梗死(MI)的患者和 46 名无心脏病史的志愿者。从 MCG 特征中提取了一组 38 个参数,包括传感器阵列的信号和设备获得的磁场图像的信号,并使用主成分分析将这些参数中包含的信息集中到不相关的预测因子中。然后,对这些参数进行线性拟合,以检查 MCG 区分患者亚组的能力。本研究的首要目的是确保 MCG 具有基本的能力来区分高度极化的患者群体(年轻对照组与心肌梗死后患者),并确定可用于未来研究以构建正式诊断工具包的参数。确定了参数化左心室射血分数(LVEF)的参数,并给出了一个示例,以显示低和高射血分数的差异。