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External validation of a machine learning based classification algorithm for ambulatory heart rhythm diagnostics using smartphone-photoplethysmography - the SMARTBEATS algorithm study

30 August 2024 (08:00 - 17:30)
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Congress Presentation Part of: New clinical insights from implantable loop recorders and smartphones Photoplethysmography ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Mr Jonatan Fernstad

Karolinska Institutet Danderyd Hospital, Stockholm (Sweden)

5 More presentations in this session

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Implantable loop recorders in children and adolescents with Brugada syndrome: the YoungBruLoop study
Professor G. Conte (Lugano, CH)
Abstract Slides Video
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Dynamic QTc interval changes observed in real-world patients with implanted insertable cardiac monitors taking class III antiarrhythmic drugs
Mr G. Rajagopal (Minneapolis, US)
Abstract Slides Video
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Rates of therapeutic interventions in a large real-world cohort with insertable cardiac monitors
Doctor M. De Melis (Maastricht, NL)
Abstract Slides Video
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Selective use of implatable loop recorders improves diagnostic potential for unexplained syncope
Doctor E. Oikonomou (Athens, GR)
Abstract Slides Video
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Premature ventricular contraction burden measured by an insertable cardiac monitor and the incidence of ventricular tachycardia and fibrillation
Doctor J. Dukes (Ventura, US)
Abstract Slides Video

Access the full session

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New clinical insights from implantable loop recorders and smartphones
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The Event

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ESC Congress 2024

30 August - 2 September 2024

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources