The benefits of early perfusion in ST elevation myocardial infarctions(STEMI) are established; howeverearly perfusion of non-ST elevation myocardial infarctions has not been shown to be beneficial. In additionST eleva...The benefits of early perfusion in ST elevation myocardial infarctions(STEMI) are established; howeverearly perfusion of non-ST elevation myocardial infarctions has not been shown to be beneficial. In additionST elevation(STE) caused by conditions other thanacute ischemia is common. Non-ischemic STE may beconfused as STEMI, but can also mask STEMI on electrocardiogram(ECG). As a result, activating the primarypercutaneous coronary intervention(pPCI) protocooften depends on determining which ST elevation patterns reflect transmural infarction due to acute coronary artery thrombosis. Coordination of interpreting theECG in its clinical context and appropriately activatingthe pPCI protocol has proved a difficult task in borderline cases. But its importance cannot be ignored, asreflected in the 2013 American College of CardiologyFoundation/American Heart Association guidelines concerning the treatment of ST elevation myocardial infarction. Multiples strategies have been tested and studiedand are currently being further perfected. No mattethe strategy, at the heart of delivering the best care lies rapid and accurate interpretation of the ECG. Here, we present the different patterns of non-ischemic STE and methods of distinguishing between them. In writing this paper, we hope for quicker and better stratification of patients with STE on ECG, which will lead to be bet-ter outcomes.展开更多
心电信号的分割方法可以有效地反映运动员的心脏功能和身体机能状况.通过人工对心电信号的手动分割往往耗费大量的时间和精力.为了实现自动化的心电信号分割,本文提出了一种改进的两层双向长短期记忆网络(bi-directional long short-ter...心电信号的分割方法可以有效地反映运动员的心脏功能和身体机能状况.通过人工对心电信号的手动分割往往耗费大量的时间和精力.为了实现自动化的心电信号分割,本文提出了一种改进的两层双向长短期记忆网络(bi-directional long short-term memory,BiLSTM)的心电图分割算法,可以前向和后向分析时间序列,以检测和定位重要波段,如P波、QRS波群和T波.实验使用公开QT数据集进行验证,以模拟运动员在赛前的心电数据.在与LSTM,BiLSTM以及两层BiLSTM的对比实验中,本方法的所有评价指标均有所提升.其准确率达95.68%,召回率为91.62%,精确度为91.05%,特异性为96.64%,F1分数为91.41%.结果表明该方法对心电信号进行分割具有较好的效果.展开更多
基金Supported by John S Dunn Chair in Cardiology Research and Education
文摘The benefits of early perfusion in ST elevation myocardial infarctions(STEMI) are established; howeverearly perfusion of non-ST elevation myocardial infarctions has not been shown to be beneficial. In additionST elevation(STE) caused by conditions other thanacute ischemia is common. Non-ischemic STE may beconfused as STEMI, but can also mask STEMI on electrocardiogram(ECG). As a result, activating the primarypercutaneous coronary intervention(pPCI) protocooften depends on determining which ST elevation patterns reflect transmural infarction due to acute coronary artery thrombosis. Coordination of interpreting theECG in its clinical context and appropriately activatingthe pPCI protocol has proved a difficult task in borderline cases. But its importance cannot be ignored, asreflected in the 2013 American College of CardiologyFoundation/American Heart Association guidelines concerning the treatment of ST elevation myocardial infarction. Multiples strategies have been tested and studiedand are currently being further perfected. No mattethe strategy, at the heart of delivering the best care lies rapid and accurate interpretation of the ECG. Here, we present the different patterns of non-ischemic STE and methods of distinguishing between them. In writing this paper, we hope for quicker and better stratification of patients with STE on ECG, which will lead to be bet-ter outcomes.
文摘心电信号的分割方法可以有效地反映运动员的心脏功能和身体机能状况.通过人工对心电信号的手动分割往往耗费大量的时间和精力.为了实现自动化的心电信号分割,本文提出了一种改进的两层双向长短期记忆网络(bi-directional long short-term memory,BiLSTM)的心电图分割算法,可以前向和后向分析时间序列,以检测和定位重要波段,如P波、QRS波群和T波.实验使用公开QT数据集进行验证,以模拟运动员在赛前的心电数据.在与LSTM,BiLSTM以及两层BiLSTM的对比实验中,本方法的所有评价指标均有所提升.其准确率达95.68%,召回率为91.62%,精确度为91.05%,特异性为96.64%,F1分数为91.41%.结果表明该方法对心电信号进行分割具有较好的效果.