MSCA-TNet based deep learning method for ECG arrhythmia classification

Songjian Huang, Senpeng Chen, Zihao Guo, Kaiming Ji, Miao Zhang

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DOI: 10.1038/s41598-026-58850-y
Published: 2026-06-19
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-58850-y,
  title = {MSCA-TNet based deep learning method for ECG arrhythmia classification},
  author = {Songjian Huang and Senpeng Chen and Zihao Guo and Kaiming Ji and Miao Zhang},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-58850-y},
  url = {https://doi.org/10.1038/s41598-026-58850-y}
}

RIS

TY  - JOUR
TI  - MSCA-TNet based deep learning method for ECG arrhythmia classification
AU  - Songjian Huang
AU  - Senpeng Chen
AU  - Zihao Guo
AU  - Kaiming Ji
AU  - Miao Zhang
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-58850-y
UR  - https://doi.org/10.1038/s41598-026-58850-y
ER  -

APA

Huang, S., Chen, S., Guo, Z., Ji, K., & Zhang, M. (2026). MSCA-TNet based deep learning method for ECG arrhythmia classification. Scientific Reports. https://doi.org/10.1038/s41598-026-58850-y

Source records

crossref · retrieved 2026-09-26T00:21:34.126Z