Serial electrocardiography to detect newly emerging or aggravating cardiac pathology: a deep-learning approach

Serial electrocardiography to detect newly emerging or aggravating cardiac pathology: a deep-learning approach

Abstract Background Serial electrocardiography aims to contribute to electrocardiogram (ECG) diagnosis by comparing the ECG under consideration with a previously made ECG in the same individual. Here, we present a novel algorithm to construct dedicated deep-learning neural networks (NNs) that are sp...

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Bibliographic Details
Main Authors: Agnese Sbrollini, Marjolein C. De Jongh, C. Cato Ter Haar, Roderick W. Treskes, Sumche Man, Laura Burattini, Cees A. Swenne
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BioMedical Engineering OnLine
Subjects:
Serial electrocardiography
Vectorcardiography
Deep learning
Neural networks
Constructive algorithm
Online Access:http://link.springer.com/article/10.1186/s12938-019-0630-9

Internet

http://link.springer.com/article/10.1186/s12938-019-0630-9

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