Multimodal contrastive learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals and patient metadata

This work discusses the use of contrastive learning and deep learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals. While the ECG signals usually contain 12 leads (channels), many healthcare facilities and devices lack access to all these 12 leads. This raises the pr...

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Veröffentlicht in:	arXiv.org 2023-04
Hauptverfasser:	Cao, Tue M, Tran, Nhat H, Phi Le Nguyen, Pham, Hieu
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Electrocardiography Health care facilities
Online-Zugang:	Volltext
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