New Non-invasive Method to Detect Myocardial Ischemia

描述(由申请人提供)：检测心肌缺血的新的非侵入性方法-对怀疑患有急性冠脉综合征(急性心肌梗死或不稳定心绞痛)的患者进行及时诊断对于良好的短期和长期患者结果至关重要。常规12导联心电图是在急诊科就诊的胸痛或心绞痛患者中检测急性冠脉综合征(ACS)的主要诊断工具。不幸的是，常规的心电图对大约50%的患者缺乏诊断的敏感性。本研究旨在探索一种新的无创脑缺血检测方法，以提高心电图的诊断率。数字信号处理技术被用来发现心电除极波(HF-QRS)的微妙、高频、低幅度分量。研究表明，HF-QRS成分检测可以提高缺血检测的灵敏度和特异度高达5-15%。将对一项前瞻性临床试验的高分辨率、24小时动态心电图数据进行二次分析，以比较常规心电图和HF-QRS在检测缺血方面的敏感性和特异性。

DESCRIPTION (provided by applicant): New Non-invasive Method to Detect Myocardial Ischemia-The timely diagnosis of patients suspected of having Acute Coronary Syndromes (acute myocardial infarction or unstable angina) is crucial to favorable short- and long-term patient outcomes. The conventional 12-lead electrocardiogram (ECG) is the primary diagnostic tool for the detection of Acute Coronary Syndromes (ACS) in patients presenting to the Emergency Department (ED) with chest pain or anginal equivalents. Unfortunately, the conventional ECG lacks sensitivity to diagnose approximately 50% of these patients. The purposed research examines a promising new non-invasive method of ischemia detection which could improve the diagnostic yield of the electrocardiogram. Digital signal processing techniques are used to uncover subtle, high frequency, low amplitude, components of the ECG depolarization wave (HF-QRS). Studies show that HF-QRS component detection may improve the sensitivity and specificity of ischemia detection by as much as 5-15%. A secondary analysis of high resolution, 24-hour Holter data from a prospective clinical trial will be conducted to compare sensitivity and specificity of conventional ECG versus HF-QRS in the detection of ischemia.