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The Electro-Anatomical Pathway for Normal and Abnormal ECGs in COVID Patients

机译:Covid患者正常和异常ECG的电解剖途径

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Patients with COVID-19 frequently have non-typical ECG changes in the QRS and T-wave morphology. The novel CineECG uses using the mean temporal spatial isochrones (mTSI) to relate the activation and recovery pathway to the cardiac anatomy. The aim of this feasibility study is to use the novel CineECG to separate normal from abnormal ECGs. The ECGs of 100 normal controls were used to obtain the normal mTSI paths values for the QRS, ST segment and T-wave. These normal CineECG values were used to classify the COVID-19 ECGs as either as normal or abnormal of 107 patients being treated for COVID-19 in the University Medical Center Utrecht. The CineECG was able to classify 98% of the normal ECG correctly and 94% of the abnormal ECG in comparison to expert ECG classifications. The ability of the CineECG to relate the ECG to the cardiac anatomy supports the detection of abnormal ECGs. The CineECG might be a novel ECG screening tool to detect potential cardiac involvement of the COVID-19 disease for non-ECG experts.
机译:Covid-19患者经常具有QRS和T波形态的非典型的ECG变化。新型Cineecg使用平均时间空间等色素(MTSI)来将活化和回收途径与心脏解剖学相关联。这种可行性研究的目的是使用新的CINEECG与异常心电图分离正常。使用100个正常对照的ECG用于获得QRS,ST段和T波的正常MTSI路径值。这些正常的Cineecg值用于将Covid-19 ECG分类为107名患者的正常或异常,在大学医疗中心UTRECHT的Covid-19治疗。与专家ECG分类相比,Cineecg能够正确分类98%的正常心电图和94%的异常ECG。 CINEECG将ECG与心脏解剖学相关的能力支持异常ECG的检测。 Cineecg可能是一种新型的ECG筛选工具,可检测非ECG专家Covid-19疾病的潜在心脏累积。

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