ESC 365 - External validation of a machine learning based classification algorithm for ambulatory heart rhythm diagnostics using smartphone-photoplethysmography

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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

Session: New clinical insights from implantable loop recorders and smartphones

Topic: Photoplethysmography

Speaker: Mr J. Fernstad (Stockholm, SE)

Event: ESC Congress 2024

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About the speaker

Mr Jonatan Fernstad

Karolinska Institutet Danderyd Hospital, Stockholm (Sweden)

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Dynamic QTc interval changes observed in real-world patients with implanted insertable cardiac monitors taking class III antiarrhythmic drugs

Speaker: Mr G. Rajagopal (Minneapolis, US)

Rates of therapeutic interventions in a large real-world cohort with insertable cardiac monitors

Speaker: Doctor M. De Melis (Maastricht, NL)

Selective use of implatable loop recorders improves diagnostic potential for unexplained syncope

Speaker: Doctor E. Oikonomou (Athens, GR)

Premature ventricular contraction burden measured by an insertable cardiac monitor and the incidence of ventricular tachycardia and fibrillation

Speaker: Doctor J. Dukes (Ventura, US)

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New clinical insights from implantable loop recorders and smartphones

Speakers: Mr J. Fernstad, Professor G. Conte, Mr G. Rajagopal, Doctor M. De Melis, Doctor E. Oikonomou...

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ESC Congress 2024

30 August - 2 September 2024

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