Mobile single-lead ECG atrial fibrillation prediction enhancement integrated by standard ECG algorithm with Deep learning model

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Mobile single-lead ECG atrial fibrillation prediction enhancement integrated by standard ECG algorithm with Deep learning model

Session: Innovations in cardiac health prediction: integrating deep learning with multimodal data analysis

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Speaker: Associate Professor K. Lee (Gwangju, KR)

Event: ESC Congress 2024

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About the speaker

Associate Professor Ki Hong Lee

Chonnam National University Hospital, Gwangju (Korea (Republic of))

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5 more presentations in this session

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Speaker: Doctor G. Siontis (Bern, CH)

Detection and risk stratification of cardiac amyloidosis patients by integration of imaging and non-imaging data using a machine learning approach

Speaker: Doctor C. Spielvogel (Vienna, AT)

Standardization of transthoracic impedance values for estimating heart failure and its utility

Speaker: Doctor D. Nose (Fukuoka, JP)

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Speaker: Associate Professor Y. Nakao (Kyoto, JP)

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Innovations in cardiac health prediction: integrating deep learning with multimodal data analysis

Speakers: Associate Professor K. Lee, Mr I. Vatsaraj, Doctor G. Siontis, Doctor C. Spielvogel, Doctor D. Nose...

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ESC Congress 2024

30 August - 2 September 2024

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