EHRA Premium Access

Recognition of Brugada type 1 pattern on ECG by Echo State Networks

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Mr Federico Vozzi

National Council of Research, Pisa (Italy)
0 follower

8 more presentations in this session

Changes in public interest in sudden cardiac arrest: a big data analysis

Speaker: Doctor J. Han (Los Angeles, US)

Thumbnail

Results of external validation for anatomical site recognition of ablation sites in atrial fibrillation using the CARTONET R12 model

Speaker: Assistant Professor W. sasaki (Hidaka, JP)

Thumbnail

Artificial intelligence-estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablations

Speaker: Doctor H. Park (Seoul, KR)

Thumbnail

Twelve-lead electrocardiography-based artificial intelligence predicts the upcoming future of patients with heart failure with mildly reduced ejection fraction

Speaker: Mr S. Lee (Incheon, KR)

Thumbnail

Same-day discharge strategy in a heart rhythm management clinic - what about patients' reported experience ?

Speaker: Doctor S. Zeriouh (Cambridge, GB)

Thumbnail

Access the full session

eCardiology 1

Speakers: Mr F. Vozzi, Doctor J. Han, Assistant Professor W. sasaki, Doctor H. Park, Mr S. Lee...
Thumbnail

About the event

Image

EHRA 2024

7 April - 9 April 2024

Sessions Presentations