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ECG Classification

Papers

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Showing 61–70 of 116 papers

TitleStatusHype
SEVGGNet-LSTM: a fused deep learning model for ECG classification—0
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification—0
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification—0
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification—0
Transforming ECG Diagnosis:An In-depth Review of Transformer-based DeepLearning Models in Cardiovascular Disease Detection—0
Ultra Low-Power and Real-time ECG Classification Based on STDP and R-STDP Neural Networks for Wearable Devices—0
Weakly Supervised Arrhythmia Detection Based on Deep Convolutional Neural Network—0
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM—0
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices—0
VizECGNet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation—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 (2-lead)PhysioNet Challenge score 2021-0.63—Unverified
4Classifier Chain (4-lead)PhysioNet Challenge score 2021-0.63—Unverified
5Classifier Chain (6-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