Electrocardiogram lead conversion from single-lead blindly-segmented signals

Electrocardiogram lead conversion from single-lead blindly-segmented signals

Abstract Background The standard configuration’s set of twelve electrocardiogram (ECG) leads is optimal for the medical diagnosis of diverse cardiac conditions. However, it requires ten electrodes on the patient’s limbs and chest, which is uncomfortable and cumbersome. Interlead conversion methods c...

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Bibliographic Details
Main Authors: Sofia C. Beco, João Ribeiro Pinto, Jaime S. Cardoso
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Autoencoder
Conversion
Deep learning
Electrocardiogram (ECG)
Leads
U-Net
Online Access:https://doi.org/10.1186/s12911-022-02063-6

Internet

https://doi.org/10.1186/s12911-022-02063-6

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