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ECG Classification

Papers

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Showing 41–50 of 116 papers

TitleStatusHype
PulseNet: Deep Learning ECG-signal classification using random augmentation policy and continous wavelet transform for canines—0
Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural NetworkCode1
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification—0
ECG Classification System for Arrhythmia Detection Using Convolutional Neural NetworksCode0
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring—0
Proof of Swarm Based Ensemble Learning for Federated Learning Applications—0
A Dual-scale Lead-seperated Transformer With Lead-orthogonal Attention And Meta-information For Ecg Classification—0
Advancing the State-of-the-Art for ECG Analysis through Structured State Space ModelsCode1
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria—0
SEVGGNet-LSTM: a fused deep learning model for ECG classification—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