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Optimisation of artefact detection in photoplethysmography heart rate data: influence of different classifiers in machine learning models

1 September 2024 (13:00 - 13:30)
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Congress Presentation Part of: Innovations in digital health: from neural tracts to cardiovascular health and innovation Remote Patient Monitoring ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Paulien Vermunicht

University of Antwerp, Antwerp (Belgium)

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Integrity of central nervous autonomous tracts is associated with cardiac function, cardiovascular risk factors, organ damage and major adverse cardiovascular events
Doctor J. Nolde (Freiburg, DE)
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Evaluating the feasibility of upper arm ECG for cardiac monitoring
Mr J. Diven (Belfast, GB)
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A novel classification of dyslipidaemia through the analysis of five million lipid profiles: an unsupervised machine learning approach
Doctor S. Haider (London, GB)
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Development of an automated process for monitoring of amiodarone treatment
Associate Professor H. Sjoland (Gothenburg, SE)
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Innovations in digital health: from neural tracts to cardiovascular health and innovation

The Event

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ESC Congress 2024

1 September 2024 13:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources
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