PhysioNet/CinC Challenges

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Quick links for this year's Challenge:

Please post questions and comments in the forum. However, if your question reveals information about your entry, then please email challenge at physionet.org. We may post parts of our reply publicly if we feel that all Challengers should benefit from it. We will not answer emails about the Challenge to any other address.

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020

Citations

For this year’s Challenge, please cite:

Perez Alday EA, Gu A, Shah AJ, Robichaux C, Wong AI, Liu C, Liu F, Rad AB, Elola A, Seyedi S, Li Q, Sharma A, Clifford GD*, Reyna MA*. Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. Physiol Meas. 2020 Nov 11. doi: 10.1088/1361-6579/abc960

Focus Issue Papers

The Physiological Measurement Focus Collection: Classification of Multilead ECGs includes the above paper.

Conference Papers

The conference papers for Computing in Cardiology 2020 are available on the CinC and IEEE websites.

The scores for the teams are available here, including scores for official entries that were scored on the validation and test data, scores for unofficial entries that were scored on the validation and test data but did not satisfy one or more of the Challenge rules or were unsuccessful on one or more of the test databases, and additional metrics for the official entries.

Abstract Team Name Title Author(s)
7 SpaceOn Flattop Multi-label Classification of Electrocardiogram With Modified Residual Networks Shan Yang, Heng Xiang, Qingda Kong and Chunli Wang
32 ISIBrno Utilization of Residual CNN-GRU with Attention Mechanism for Classification of 12-lead ECG Petr Nejedly, Adam Ivora, Ivo Viscor, Josef Halamek, Pavel Jurak and Filip Plesinger
35 PALab Arrhythmia Detection and Classification of 12-lead ECGs Using a Deep Neural Network wenxiao jia, Xiao Xu, Xian Xu, Yuyao Sun and Xiaoshuang Liu
39 nebula Automatic 12-lead ECG Classification Using Deep Neural Networks Wenjie Cai, Shuaicong Hu, Jingying Yang and Jianjian Cao
44 DeepHeart Automatic Classification of Arrhythmias by Residual Network and BiGRU With Attention Mechanism Runnan He, Kuanquan Wang, Na Zhao, Qiang Sun, Yacong Li, Qince Li and Henggui Zhang
61 Alba_W.O. Selected Features for Classification of 12-lead ECGs Marek Żyliński and Gerard Cybulski
63 NN-MIH Electrocardiogram Classification by Modified EfficientNet with Data Augmentation Naoki Nonaka and Jun Seita
71 DSC Multi-Class Classification of Pathologies Found on Short ECG Signals Georgi Nalbantov, Svetoslav Ivanov and Jeffrey van Prehn
72 NTU-Accesslab Explainable Deep Neural Network for Identifying Cardiac Abnormalities Using Class Activation Map Yu-Cheng Lin, Yun-Chieh Lee, Wen-Chiao Tsai, Win-Ken Beh and An-Yeu Wu
74 Marquette A Deep Neural Network and Reconstructed Phase Space Approach to Classifying 12-lead ECGs David Kaftan and Richard Povinelli
85 CQUPT_ECG SE-ECGNet: Multi-scale SE-Net for Multi-lead ECG Data Jiabo Chen, Tianlong Chen, Bin Xiao, Xiuli Bi, Yongchao Wang, Weisheng Li, Han Duan, Junhui Zhang and Xu Ma
95 ECGLearner Deep Multi-Label Multi-Instance Classification on 12-Lead ECG Yingjing Feng and Edward Vigmond
107 prna A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification Annamalai Natarajan, Yale Chang, Sara Mariani, Asif Rahman, Gregory Boverman, Shruti Vij and Jonathan Rubin
112 Between a ROC and a heart place Adaptive lead weighted ResNet trained with different duration signals for classifying 12-lead ECGs Zhibin Zhao, Hui Fang, Samuel Relton, Ruqiang Yan, Yuhong Liu, Zhijing Li, Jing Qin and David Wong
116 Gio_Ivo Rule-Based methods and Deep Learning Networks for Automatic Classification of ECG giovanni bortolan, Ivaylo Christov and Iana Simova
124 BioS 12-lead ECG Arrythmia Classification Using Convolutional Neural Network for Mutually Non-Exclusive Classes Mateusz Soliński, Michał Łepek, Antonina Pater, Katarzyna Muter, Przemysław Wiszniewski, Dorota Kokosińska, Judyta Salamon and Zuzanna Puzio
127 Care4MyHeart Identification of Cardiac Arrhythmias from 12-lead ECG using Beat-wise Analysis and a Combination of CNN and LSTM Mohanad Alkhodari, Leontios J. Hadjileontiadis and Ahsan H. Khandoker
128 CVC Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul and Abram Hindle
130 Code Team Automatic 12-lead ECG Classification Using a Convolutional Network Ensemble Antonio H. Ribeiro, Daniel Gedon, Daniel Martins Teixeira, Manoel Horta Ribeiro, Antonio Luiz Ribeiro, Thomas B. Schön and Wagner Meira Jr
133 Triage Combining Scatter Transform and Deep Neural Networks for Multilabel ECG Signal Classification Maximilian Oppelt, Maximilian Riehl, Felix Kemeth and Jan Steffan
134 JuJuRock Multi-label Arrhythmia Classification From 12-Lead Electrocardiograms Po-Ya Hsu, Po-Han Hsu, Tsung-Han Lee and Hsin-Li Liu
135 Leicester-Fox Diagnostic of Multiple Cardiac Disorders from 12-lead ECGs Using Graph Convolutional Network Based Multi-label Classification Zheheng Jiang, Tiago Paggi de Almeida, Fernando Schlindwein, G. André Ng, Huiyu Zhou and Xin Li
138 Eagles Automated Classification of Electrocardiograms Using Wavelet Analysis and Deep Learning Andrew Demonbreun and Grace Mirsky
139 EASTBLUE Multi-label Classification of Abnormalities in 12-Lead ECG Using Deep Learning Ao Ran, Dongsheng Ruan, Yuan Zheng and Huafeng Liu
144 CardioLux - Unicauca ECG Arrhythmia Classification using Non-Linear Features and Convolutional Neural Networks Sebastian Cajas, Pedro Astaiza, David Santiago Garcia Chicangana, Camilo Segura and Diego Lopez
148 easyG Multi-Stream Deep Neural Network for 12-Lead ECG Classification Martin Baumgartner, Dieter Hayn, Andreas Ziegl, Alphons Eggerth and Günter Schreier
161 ECU Impact of Neural Architecture Design on Cardiac Abnormality Classification Using 12-lead ECG Signals Najmeh Fayyazifar, Selam Ahderom, David Suter, Andrew Maiorana and Girish dwivedi
162 Triology A Real-time ECG Classification Scheme Using Anti-aliased Blocks with Low Sampling Rate Yunkai Yu, Zhihong Yang, Zhicheng Yang, Peiyao Li and Yuyang You
171 HITTING Cardiac Pathologies Detection and Classification in 12-lead ECG Radovan Smisek, Andrea Nemcova, Lucie Marsanova, Lukas Smital, Martin Vítek and Jiri Kozumplik
185 Madhardmax Interpretable XGBoost Based Classification of 12-lead ECGs Applying Information Theory Measures From Neuroscience Hardik Rajpal, Madalina Sas, Rebecca Joakim, Chris Lockwood, Nicholas S. Peters and Max Falkenberg
189 BUTTeam ECG Abnormalities Recognition Using Convolutional Network With Global Skip Connections and Custom Loss Function Tomas Vicar, Jakub Hejc, Petra Novotna, Marina Ronzhina and Oto Janousek
196 MetaHeart A Novel Convolutional Neural Network for Arrhythmia Detection From 12-lead Electrocardiograms Zhengling He, Pengfei Zhang, Lirui Xu, Zhongrui Bai, Hao Zhang, Weisong Li, Pan Xia and Xianxiang Chen
198 Pink Irish Hat ECG Classification With a Convolutional Recurrent Neural Network Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo and Mathieu Lemay
202 Technion_AIMLAB Classification of 12-lead ECGs using digital biomarkers and representation learning David Assaraf, Jeremy Levy, Janmajay Singh, Armand Chocron and Joachim A. Behar
217 Whitaker’s Lab Detecting Cardiac Abnormalities from 12-lead ECG Signals Using Feature Extraction, Dimensionality Reduction, and Machine Learning Classification Garrett Perkins, J. Chase McGlinn, Muhammad Rizwan and Bradley Whitaker
225 Cardio-Challengers A Bio-toolkit for Multi-Cardiac Abnormality Diagnosis Using ECG Signal and Deep Learning Akash Kirodiwal, Apoorva Srivastava, Ashutosh Dash, Ayantika Saha, Gopi Vamsi Penaganti, Sawon Pratiher, sazedul alam, Amit Patra, Nirmalya Ghosh and Nilanjan Banerjee
227 Team UIO Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs Bjørn-Jostein Singstad and Christian Tronstad
229 UC_Lab_Kn Cardiac Abnormality Detection in 12-lead ECGs with Deep Convolutional Neural Networks Using Data Augmentation Lucas Weber, Maksym Gaiduk, Wilhelm Daniel Scherz and Ralf Seepold
236 PhysioNet Challenge Organizers Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020 Matthew Reyna, Erick Andres Perez Alday, Annie Gu, Chengyu Liu, Salman Seyedi, Ali Bahrami Rad, Andoni Elola, Qiao Li, Ashish Sharma and Gari Clifford
253 UMCUVA Automated Comprehensive Interpretation of 12-lead Electrocardiograms Using Pre-trained Exponentially Dilated Causal Convolutional Neural Networks Max Bos, Rutger van de Leur, Jeroen Vranken, Deepak Gupta, Pim van der Harst, Pieter Doevendans and René van Es
277 AI Strollers Classification of 12 Lead ECG Signal Using 1D-CNN With Class Dependent Threshold Rohit Pardasani and Navchetan Awasthi
281 HeartBeats Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet Zhaowei Zhu, Han Wang, Tingting Zhao, Yangming Guo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Xiang Lan, Xingzhi Sun and Mengling Feng
282 Minibus MADNN: A Multi-scale Attention Deep Neural Network for Arrythmia Classification Ran Duan, Xiaodong He and Ouyang Zhuoran
285 ECGMaster Multi-Label Classification of 12-lead ECGs by Using Residual CNN and Class-Wise Attention Yang Liu, Kuanquan Wang, Yongfeng Yuan, Qince Li, Yacong Li, Yongpeng Xu and Henggui Zhang
297 Cordi-Ak A Topology Informed Random Forest Classifier for ECG Classification Paul Samuel Ignacio, Jay-Anne Bulauan and John Rick Manzanares
305 ELBIT A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs Alvaro Huerta Herraiz, Arturo Martinez-Rodrigo, José J Rieta and Raul Alcaraz
307 SBU_AI Classification of 12-lead ECGs Using Intra-Heartbeat Discrete-time Fourier Transform and Inter-Heartbeat Attention Ibrahim Hammoud, IV Ramakrishnan and Petar Djuric
328 DSAIL_SNU Bag of Tricks for Electrocardiogram Classification with Deep Neural Networks Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee and Sungroh Yoon
339 MIndS Detection of Cardiac Arrhythmias From Varied Length Multichannel Electrocardiogram Recordings Using Deep Convolutional Neural Networks Marwen Sallem, Adnen Saadaoui, Amina Ghrissi and Vicente Zarzoso
349 CardiUniBo On the Application of Convolutional Neural Networks for 12-lead ECG Multi-label Classification using Datasets from Multiple Centers Davide Borra, Alice Andalò, Stefano Severi and Cristiana Corsi
353 LaussenLabs Rhythm classification of 12-lead ECGs using deep neural network and class-activation maps for improved explainability Sebastian Goodfellow, Dmitrii Shubin, Danny Eytan, Andrew Goodwin, Anusha Jega, Azadeh Assadi, Mjaye Mazwi, Robert Greer, Sujay Nagaraj, Peter Laussen, William Dixon and Carson McLean
356 heartly-ai ECG Segmentation using a Neural Network as the Basis for Detection of Cardiac Pathologies Philipp Sodmann and Marcus Vollmer
363 Desafinado Classification of 12-lead ECGs Using Gradient Boosting on Features Acquired With Domain-Specific and Domain-Agnostic Methods Durmus Umutcan Uguz, Felix Berief, Steffen Leonhardt and Christoph Hoog Antink
374 MCIRCC Classification of 12-Lead Electrocardiograms Using Residual Neural Networks and Transfer Learning Sardar Ansari, Christopher Gillies, Brandon Cummings, Jonathan Motyka, Guan Wang, Kevin Ward and Hamid Ghanbari
406 BiSP Lab Classification of 12-lead ECG with an Ensemble Machine Learning Approach Matteo Bodini, Massimo W Rivolta and Roberto Sassi
417 AUTh Team Convolutional Recurrent Neural Network and LightGBM Ensemble Model for 12-lead ECG Classification Charilaos Zisou, Andreas Sochopoulos and Konstantinos Kitsios
424 deepzx987 Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks Deepankar Nankani, Pallabi Saikia and Rashmi Dutta Baruah
435 Germinating ECG Morphological Decomposition for Automatic Rhythm Identification Guadalupe García Isla, Rita Laureanti, Valentina Corino and Luca Mainardi
445 Sharif AI Team Classification of 12-lead ECG Signals with Adversarial Multi-Source Domain Generalization Hosein Hasani, Adeleh Bitarafan and Mahdieh Soleymani
456 UIDT-UNAM Cardiac Arrhythmias Identification by Parallel CNNs and ECG Time-Frequency Representation Jonathan Roberto Torres Castillo, K De Los Rios and Miguel Ángel Padilla Castañeda
462 BitScattered Arrhythmia classification of 12-lead Electrocardiograms by Hybrid Scattering-LSTM networks Philip Warrick, Masun Nabhan Homsi, Vincent Lostanlen, Michael Eikenberg and Joakim Andén

Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant R01EB030362.

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