The Electro-Anatomical Pathway for Normal and Abnormal ECGs in COVID Patients
Contributo in Atti di convegno
Data di Pubblicazione:
2020
Citazione:
The Electro-Anatomical Pathway for Normal and Abnormal ECGs in COVID Patients / Van Dam, P.M., Boonstra, M., Roudijk, R., Linschoten, M.P.M., Locati, E.T., Ciconte, G., Borrelli, V., Santinelli, V., Vicedomini, G., Monasky, M.M., Micaglio, E., Giannelli, L., Mecarocci, V., Calovic, Z., Pappone, C., Loh, P.. - In: COMPUTING IN CARDIOLOGY. - ISSN 2325-8861. - 2020-:(2020). (2020 Computing in Cardiology, CinC 2020 ita 2020) [10.22489/CinC.2020.096].
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.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Van Dam, P. M.; Boonstra, M.; Roudijk, R.; Linschoten, M. P. M.; Locati, E. T.; Ciconte, G.; Borrelli, V.; Santinelli, V.; Vicedomini, G.; Monasky, M. M.; Micaglio, E.; Giannelli, L.; Mecarocci, V.; Calovic, Z.; Pappone, C.; Loh, P.
Link alla scheda completa:
Titolo del libro:
Computing in Cardiology
Pubblicato in: