ESC 365 - To compare 24 hour blood pressure values of a conventional 24 hours ambulatory blood pressure device versus a wristband using an artificial intelligence algorithm based on photophletysmography

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To compare 24 hour blood pressure values of a conventional 24 hours ambulatory blood pressure device versus a wristband using an artificial intelligence algorithm based on photophletysmography

Session: Artificial intelligence-powered cardiovascular risk assessment: machine learning for disease detection

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor E. Ronner (Delft, NL)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Eelko Ronner

Reinier de Graaf Hospital, Delft (Netherlands (The))

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8 more presentations in this session

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Time-series clustering of raw recordings of 24-hour ambulatory blood presssure for risk stratification in general population

Speaker: Mr E. Ntalianis (Leuven, BE)

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Speaker: Doctor Y. Bitton (Jerusalem, IL)

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Artificial intelligence-powered cardiovascular risk assessment: machine learning for disease detection

Speakers: Doctor E. Ronner, Doctor Y. Chen, Mr M. Knorr, Doctor A. Unger, Mr E. Ntalianis...

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ESC Congress 2024

30 August - 2 September 2024

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