AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-25T19:04:43.169Z