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

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

Session: Innovations in remote patient care

Topic: Remote Patient Monitoring

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

Event: ESC Congress 2023

Congress Presentation

About the speaker

Miss Carmen Sanchez Vallejo

San Carlos Clinical Hospital, Madrid (Spain)

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5 more presentations in this session

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 (Rio de Janeiro, BR)

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

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

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)

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Innovations in remote patient care

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

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About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

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

About the speaker

Miss Carmen Sanchez Vallejo

5 more presentations in this session

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

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

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

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

AI remote ECG monitoring improves arrhythmia detection

Access the full session

Innovations in remote patient care

About the event

ESC Congress 2023

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