Correlation between non-invasive measurements and intracardiac pressures using machine learning techniques

Back

ESC Professional Premium Access

Correlation between non-invasive measurements and intracardiac pressures using machine learning techniques

Session: Innovations in remote patient care

Topic: Remote Patient Monitoring

Speaker: Ms A. Van Ravensberg (Rotterdam, NL)

Event: ESC Congress 2023

Congress Presentation

Add to my library

About the speaker

Ms Annemiek Elisabeth Van Ravensberg

Erasmus University Medical Centre, Rotterdam (Netherlands (The))

0 follower

5 more presentations in this session

Mathematical software tool that helps clinicians to classify clinicand and spurious alerts in patients with heart failure and cardiac implantable devices

Speaker: Mrs C. Sanchez Vallejo (Madrid, ES)

Long-term impact of remote monitoring after hospitalisations for acute decompensated heart failure: a systematic review and meta-analysis of randomised controlled trials

Speaker: Ms M. Rodrigues Coutinho Clemente (Petropolis, BR)

Detection of cardiac arrhythmias following acute coronary syndrome using a connected continuous rhythm monitoring device

Speaker: Mr P. Charleux (Paris, FR)

Performance of a multisensor implantable defibrillator algorithm for HF monitoring in the presence of atrial fibrillation.

Speaker: Professor G. Boriani (Modena, IT)

AI remote ECG monitoring improves arrhythmia detection

Speaker: Doctor J. Rosengarten (East Kent, GB)

Access the full session

Innovations in remote patient care

Speakers: Ms A. Van Ravensberg, Mrs C. Sanchez Vallejo, Ms M. Rodrigues Coutinho Clemente, Mr P. Charleux, Professor G. Boriani...

Access

Video

About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources