EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocard...
EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocardiograms
About this item
Full title
Author / Creator
Peng, Jianhui , Ran, Ao , Yu, Chenjin and Liu, Huafeng
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
Subjects
More information
Scope and Contents
Contents
The automatic classification of electrocardiograms (ECGs) plays a crucial role in the early diagnosis of cardiovascular diseases. In recent research, deep neural network (DNN)-based methods have garnered significant attention due to their exceptional feature extraction capabilities. However, these methods face challenges in dealing with the complex...
Alternative Titles
Full title
EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocardiograms
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_06fef154a370450c89446cf8e358334d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_06fef154a370450c89446cf8e358334d
Other Identifiers
ISSN
1687-6180,1687-6172
E-ISSN
1687-6180
DOI
10.1186/s13634-024-01187-3
