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.

本文的目的是介绍便携式非屏蔽心磁图仪 (MCG) 的使用，并确定 MCG 扫描的关键特征，这些特征可用于未来研究以确定对心脏病理学敏感的参数。我们招募了过去 12 周内确诊为心肌梗死 (MI) 的 50 名患者和 46 名没有心脏病史的志愿者。从 MCG 特征中提取了一组 38 个参数，包括来自传感器阵列的信号和从设备获得的磁图像，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变量中。然后使用这些参数的线性拟合来检查 MCG 区分患者亚组的能力。第一个例子，本研究的主要目的是确保 MCG 具有区分高度分化的患者组（年轻对照与梗死后患者）的基本能力，并确定可用于未来研究的参数以构建正式的诊断工具包。确定了参数化左心室射血分数 (LVEF) 的参数，并提供了一个示例来显示不同的低射血分数和高射血分数。