Unsupervised electrocardiogram feature extraction using deep learning empowers discovery of genetic and phenotypic determinants of cardiac electrophysiology

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Unsupervised electrocardiogram feature extraction using deep learning empowers discovery of genetic and phenotypic determinants of cardiac electrophysiology

Session: Revolutionising cardiac diagnosis: exploring deep learning in electrocardiography and beyond

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Speaker: Doctor E. Sieliwonczyk (Antwerpen, BE)

Event: ESC Congress 2024

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Doctor Ewa Sieliwonczyk

University Hospital Antwerp, Antwerpen (Belgium)

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Revolutionising cardiac diagnosis: exploring deep learning in electrocardiography and beyond

Speakers: Doctor E. Sieliwonczyk, Mr V. Sangha, Associate Professor J. Lee, Doctor J. Ramirez, Doctor F. Theurl...

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ESC Congress 2024

30 August - 2 September 2024

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