Salvato in:
Dettagli Bibliografici
Autori principali: Nguyen, Phu X., Phan, Huy, Pham, Hieu, Chatzichristos, Christos, Vandenberk, Bert, De Vos, Maarten
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:https://arxiv.org/abs/2509.00102
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866914110860427264
author Nguyen, Phu X.
Phan, Huy
Pham, Hieu
Chatzichristos, Christos
Vandenberk, Bert
De Vos, Maarten
author_facet Nguyen, Phu X.
Phan, Huy
Pham, Hieu
Chatzichristos, Christos
Vandenberk, Bert
De Vos, Maarten
contents Transformer-based foundation models for Electrocardiograms (ECGs) have recently achieved impressive performance in many downstream applications.
format Preprint
id arxiv_https___arxiv_org_abs_2509_00102
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
Nguyen, Phu X.
Phan, Huy
Pham, Hieu
Chatzichristos, Christos
Vandenberk, Bert
De Vos, Maarten
Machine Learning
Artificial Intelligence
Transformer-based foundation models for Electrocardiograms (ECGs) have recently achieved impressive performance in many downstream applications.
title ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
topic Machine Learning
Artificial Intelligence
url https://arxiv.org/abs/2509.00102