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ECG Classification

Papers

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Showing 26–50 of 116 papers

TitleStatusHype
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XLCode1
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG ClassificationCode1
CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture—0
Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNetCode0
Mitigating Adversarial Attacks on ECG Classification in Federated Learning via Adversarial TrainingCode0
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM—0
Integrating Notch Filtering and Statistical Methods for Improved Cardiac Diagnostics Using MATLAB—0
A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility—0
Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification—0
A General-Purpose Neuromorphic Sensor based on Spiketrum Algorithm: Hardware Details and Real-life Applications—0
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split AttentionCode0
AmpliNetECG12: A lightweight SoftMax-based relativistic amplitude amplification architecture for 12 lead ECG classification—0
Heartbeat classification using various machine learning models: A comparative studyCode0
VizECGNet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation—0
Non-linear Analysis Based ECG Classification of Cardiovascular Disorders—0
ECGMamba: Towards Efficient ECG Classification with BiSSM—0
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification—0
Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning—0
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram DataCode0
Empirical investigation of multi-source cross-validation in clinical ECG classificationCode0
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments—0
Transfer Learning in ECG Diagnosis: Is It Effective?Code0
Reading Between the Leads: Local Lead-Attention Based Classification of Electrocardiogram SignalsCode0
Graph Neural Networks for Topological Feature Extraction in ECG Classification—0
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG DiagnosisCode0
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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