Accuracy improvement for Fully Convolutional Networks via selective augmentation with applications to electrocardiogram data

Accuracy improvement for Fully Convolutional Networks via selective augmentation with applications to electrocardiogram data

Deep Learning methods have shown suitability for time series classification in the health and medical domain, with promising results for electrocardiogram data classification. Successful identification of myocardial infarction holds lifesaving potential, and any meaningful improvement upon deep lear...

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Bibliographic Details
Main Author: Lucas Cassiel Jacaruso
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Fully convolutional networks
Deep learning
Time series classification
Electrocardiogram data
Data mining
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821002082

Internet

http://www.sciencedirect.com/science/article/pii/S2352914821002082

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