AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017

Gari Clifford, Chengyu Liu, Benjamin Moody, Li-wei Lehman, Ikaro Silva, Qiao Li, Alistair Johnson, Roger Mark

Open source

DOI
10.22489/cinc.2017.065-469
Published
2017-09-14
Container
Computing in Cardiology Conference (CinC)
Publisher
Computing in Cardiology
Open access
unknown

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BibTeX

@article{allodium:10.22489/cinc.2017.065-469,
  title = {AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017},
  author = {Gari Clifford and Chengyu Liu and Benjamin Moody and Li-wei Lehman and Ikaro Silva and Qiao Li and Alistair Johnson and Roger Mark},
  year = {2017},
  journal = {Computing in Cardiology Conference (CinC)},
  doi = {10.22489/cinc.2017.065-469},
  url = {https://doi.org/10.22489/cinc.2017.065-469}
}

RIS

TY  - JOUR
TI  - AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017
AU  - Gari Clifford
AU  - Chengyu Liu
AU  - Benjamin Moody
AU  - Li-wei Lehman
AU  - Ikaro Silva
AU  - Qiao Li
AU  - Alistair Johnson
AU  - Roger Mark
PY  - 2017
JO  - Computing in Cardiology Conference (CinC)
DO  - 10.22489/cinc.2017.065-469
UR  - https://doi.org/10.22489/cinc.2017.065-469
ER  - 

APA

Clifford, G., Liu, C., Moody, B., Lehman, L., Silva, I., Li, Q., Johnson, A., & Mark, R. (2017). AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017. Computing in Cardiology Conference (CinC). https://doi.org/10.22489/cinc.2017.065-469

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