Practical Lessons on 12-Lead ECG Classification: Meta-Analysis of Methods From PhysioNet/Computing in Cardiology Challenge 2020.

Hong S, Zhang W, Sun C, Zhou Y, Li H

Open source

DOI
10.3389/fphys.2021.811661
Published
2021
Container
Frontiers in physiology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fphys.2021.811661,
  title = {Practical Lessons on 12-Lead ECG Classification: Meta-Analysis of Methods From PhysioNet/Computing in Cardiology Challenge 2020.},
  author = {Hong S and Zhang W and Sun C and Zhou Y and Li H},
  year = {2021},
  journal = {Frontiers in physiology},
  doi = {10.3389/fphys.2021.811661},
  url = {https://doi.org/10.3389/fphys.2021.811661}
}

RIS

TY  - JOUR
TI  - Practical Lessons on 12-Lead ECG Classification: Meta-Analysis of Methods From PhysioNet/Computing in Cardiology Challenge 2020.
AU  - Hong S
AU  - Zhang W
AU  - Sun C
AU  - Zhou Y
AU  - Li H
PY  - 2021
JO  - Frontiers in physiology
DO  - 10.3389/fphys.2021.811661
UR  - https://doi.org/10.3389/fphys.2021.811661
ER  - 

APA

S, H., W, Z., C, S., Y, Z., & H, L. (2021). Practical Lessons on 12-Lead ECG Classification: Meta-Analysis of Methods From PhysioNet/Computing in Cardiology Challenge 2020.. Frontiers in physiology. https://doi.org/10.3389/fphys.2021.811661

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