ESC 365 - Factors for incorrect automated atrial fibrillation identification in large-scale screening

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Factors for incorrect automated atrial fibrillation identification in large-scale screening

Session: Risks and screening for atrial fibrillation

Topic: Wearables and m-Health

Speaker: Assistant Professor M. Zink (Aachen, DE)

Event: ESC Congress 2023

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Assistant Professor Matthias Daniel Zink

RWTH University Hospital Aachen, Aachen (Germany)

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6 more presentations in this session

Impact of CHA2DS2-VASc score on smartphone-based screening for atrial fibrillation: A pre-specified subgroup analysis of the eBRAVE-AF trial

Speaker: Doctor L. Freyer (Munich, DE)

Diagnostic accuracy of handheld single-lead electrocardiographic devices to detect atrial fibrillation: an examination using more than 30,000 rhythm traces in a randomised control trial.

Speaker: Doctor K. Wong (Sydney, AU)

A polygenic risk score predicts atrial fibrillation in patients with coronary artery disease without severe systolic dysfunction.

Speaker: Doctor R. Sandhu (Los Angeles, US)

The significance of excessive supraventricular ectopic activity immediately after catheter ablation in the risk stratification for late recurrence of atrial fibrillation

Speaker: Doctor T. Fujisawa (Toon, JP)

Incidentally induced atrial fibrillation during programmed electrical stimulation in patients with depressed left ventricular systolic function after an acute myocardial infarction: a CARISMA substudy

Speaker: Doctor T. Sakthivel (Copenhagen, DK)

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Risks and screening for atrial fibrillation

Speakers: Assistant Professor M. Zink, Doctor L. Freyer, Doctor K. Wong, Doctor R. Sandhu, Doctor T. Fujisawa...

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ESC Congress 2023

25 August - 28 August 2023

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