MSCA-TNet based deep learning method for ECG arrhythmia classification
S
Songjian Huang
S
Senpeng Chen
Z
Zihao Guo
(State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), Frontier Interdisciplinary Science Research Center, School of Chemistry and Chemical Engineering)
K
Kaiming Ji
M
Miao Zhang
(State Key Laboratory of Advanced Materials for Intelligent Sensing, Key Laboratory of Organic Integrated Circuits, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science)
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 1, Issue 1
Published
June 19, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (5)
S
Songjian Huang
S
Senpeng Chen
Z
Zihao Guo
State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), Frontier Interdisciplinary Science Research Center, School of Chemistry and Chemical Engineering
K
Kaiming Ji
M
Miao Zhang
State Key Laboratory of Advanced Materials for Intelligent Sensing, Key Laboratory of Organic Integrated Circuits, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science
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