ABSTRACT
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 feasib ility 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 treatedfor 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. © 2020 Creative Commons;the authors hold their copyright.