SOTAVerified

ECG Classification

Papers

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Showing 71–80 of 116 papers

TitleStatusHype
A Compact Online-Learning Spiking Neuromorphic Biosignal Processor—0
A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks—0
A Dual-scale Lead-seperated Transformer With Lead-orthogonal Attention And Meta-information For Ecg Classification—0
Adversarial Examples for Electrocardiograms—0
A General-Purpose Neuromorphic Sensor based on Spiketrum Algorithm: Hardware Details and Real-life Applications—0
A Generative Modeling Approach to Limited Channel ECG Classification—0
AmpliNetECG12: A lightweight SoftMax-based relativistic amplitude amplification architecture for 12 lead ECG classification—0
Analysis and classification of heart diseases using heartbeat features and machine learning algorithms—0
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria—0
Application of Adversarial Examples to Physical ECG Signals—0
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All datasetsPhysioNet Challenge 2021Electrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)PhysioNet Challenge 2020PTB-XLUCR Time Series Classification Archive

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Local Lead AttentionPhysioNet Challenge score 20210.52—Unverified
2Classifier Chain (3-lead)PhysioNet Challenge score 2021-0.6—Unverified
3Classifier Chain (4-lead)PhysioNet Challenge score 2021-0.63—Unverified
4Classifier Chain (6-lead)PhysioNet Challenge score 2021-0.63—Unverified
5Classifier Chain (2-lead)PhysioNet Challenge score 2021-0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1DNNF1 (1dAVb)0.89—Unverified
24th year cardiology residentF1 (1dAVb)0.78—Unverified
35th year medical studentF1 (1dAVb)0.73—Unverified
43rd year emergency residentF1 (1dAVb)0.72—Unverified
#ModelMetricClaimedVerifiedStatus
11D CNN EncoderPhysioNet Challenge score (test data)0.21—Unverified
#ModelMetricClaimedVerifiedStatus
1xresnet1d101AUROC0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1V2SaAccuracy (Test)93.96—Unverified