Matlab-Based Myocardial Ischemia Detection System Design via Deterministic Learning

摘要

In this paper, based on a recently presented myocardial ischemia detection method via deterministic learning theory, a flexible computer-aided-diagnosis system for ischemic heart disease is proposed. Surface 12-lead ECG signals are collected and cardiac dynamics are extracted via deterministic learning. This kind of cardiac dynamics is shown to be sensitive to the variance during myocardial ischemia, and is used for myocardial ischemia detection. Benefit from the powerful matrix computing capabilities and data visualization capabilities of Matlab platform, we develop an effective myocardial ischemia detection system, facilitate the application of deterministic learning and Matlab programming language in myocardial ischemia detection. The effectiveness of the proposed system is verified at Chinese National Center of Cardiovascular Diseases, which is helpful for building up a realtime software tool towards assisting the physician in cardiology departments.