Dataset Groups Activity Stream PhysioNet/Computing in Cardiology Challenge 2020 The PhysioNet/Computing in Cardiology Challenge 2020 dataset contains 12-lead ECG recordings. BibTex: @dataset{Erick_A_Perez_Alday_and_Annie_Gu_and_Amit_J_Shah_and_Chad_Robichaux_and_An-Kwok_Ian_Wong_and_Chengyu_Liu_and_Feifei_Liu_and_Ali_Bahrami_Rad_and_Andoni_Elola_and_Salman_Seyedi_and_Qiao_Li_and_Ashish_Sharma_and_Gari_D_Clifford_and_Matthew_A_Reyna_2024, abstract = {The PhysioNet/Computing in Cardiology Challenge 2020 dataset contains 12-lead ECG recordings.}, author = {Erick A Perez Alday and Annie Gu and Amit J Shah and Chad Robichaux and An-Kwok Ian Wong and Chengyu Liu and Feifei Liu and Ali Bahrami Rad and Andoni Elola and Salman Seyedi and Qiao Li and Ashish Sharma and Gari D Clifford and Matthew A Reyna}, doi = {10.57702/cc6zu52g}, institution = {No Organization}, keyword = {'Cardiovascular disease', 'ECG signal', 'PhysioNet'}, month = {dec}, publisher = {TIB}, title = {PhysioNet/Computing in Cardiology Challenge 2020}, url = {https://service.tib.eu/ldmservice/dataset/physionet-computing-in-cardiology-challenge-2020}, year = {2024} }