ECG SOFTWARE TO DETECT ACUTE MYOCARDIAL INFARCTION

用于检测急性心肌梗塞的心电图软件

• 批准号: 6215507
• 负责人: PETER GALEN
• 金额: $ 13.63万
• 依托单位: INOVISE MEDICAL, INC.
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-04 至 2002-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6215507
• 关键词: bioimaging /biomedical imaging; computer program /software; computer system design /evaluation; diagnosis design /evaluation; diagnosis quality /standard; electrocardiography; heart disorder diagnosis; human data; myocardial infarction

The development of electrocardiograph, ECG, software is proposed to improve the accuracy of the detection of acute myocardial infarcts, AMIs. This effort is based on the pioneering work of Dr. R. Selvester and J. Solomon in the field of computerized electrocardiography. Using an advanced electrophysiological computer model of the heart, we propose to create a rich and robust database of synthetic ECG signals. A combination of these synthetic ECGs and ECGs from a learning subset of the Long Beach Memorial ECG database will be used to develop rules and criteria for use in an interpretive ECG algorithm. The resulting interpretive algorithm will be tested using a large test subset chosen from the Memorial database. We propose to develop interpretive software that will significantly improve the detection, location, and sizing of acute myocardial infarcts over that of commercial interpretive ECG algorithms. We expect that this effort will lead to significant improvement in patient care and reduced healthcare costs associated with heart attacks. PROPOSED COMMERCIAL APPLICATIONS: The ECG is the first test that is performed on a patient with chest pain. An improvement in ECG software to detect an acute MI would significantly reduce the time to therapy and increase the chance of limiting or reversing cardiac damage. The market for ECGs based equipment with accurate MI detection capability is over $300 million dollars annually. The proposed software could be used in electrocardiographs, defibriliators, and acute care monitoring equipment.

为提高急性心肌梗死（AMI）检测的准确性，提出了心电图仪（ECG）软件的开发。这项工作是基于R. Selvester和J.所罗门在计算机化心电图领域。 使用先进的心脏电生理计算机模型，我们建议创建一个丰富而强大的合成ECG信号数据库。 这些合成ECG和来自长滩纪念ECG数据库学习子集的ECG的组合将用于开发用于解释性ECG算法的规则和标准。 将使用从Memorial数据库中选择的大型测试子集对所得到的解释算法进行测试。我们建议开发解释性软件，这将显着提高检测，定位和尺寸的急性心肌梗死的商业解释心电图算法。 我们预计，这一努力将导致显着改善患者护理和降低与心脏病发作相关的医疗费用。拟议的商业应用：心电图是对胸痛患者进行的第一项测试。 改进心电图软件以检测急性心肌梗死将显著缩短治疗时间，并增加限制或逆转心脏损伤的机会。具有准确MI检测能力的基于ECG的设备的市场每年超过3亿美元。 所提出的软件可用于心电图机，除颤器，和急性护理监测设备。