SOTAVerified

ECG Classification

Papers

Showing 51–100 of 116 papers

TitleStatusHype
Cloud-Connected Wireless Holter Monitor Machine with Neural Networks Based ECG Analysis for Remote Health Monitoring—0
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification—0
Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification—0
Convolution-Free Waveform Transformers for Multi-Lead ECG Classification—0
Deep Learning-based ECG Classification on Raspberry PI using a Tensorflow Lite Model based on PTB-XL Dataset—0
Deep Neural Networks Generalization and Fine-Tuning for 12-lead ECG Classification—0
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training—0
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications—0
ECG classification algorithm based on feature synthetic input and multi-resolution neural networks—0
Multi-Label ECG Classification using Temporal Convolutional Neural Network—0
Multi-Lead ECG Classification via an Information-Based Attention Convolutional Neural Network—0
Multistage Pruning of CNN Based ECG Classifiers for Edge Devices—0
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring—0
Nearest Subspace Search in The Signed Cumulative Distribution Transform Space for 1D Signal Classification—0
Optimizing Neural Network Scale for ECG Classification—0
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings—0
Piece-wise Matching Layer in Representation Learning for ECG Classification—0
Proof of Swarm Based Ensemble Learning for Federated Learning Applications—0
PulseNet: Deep Learning ECG-signal classification using random augmentation policy and continous wavelet transform for canines—0
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks—0
Non-linear Analysis Based ECG Classification of Cardiovascular Disorders—0
Robustness of convolutional neural networks to physiological ECG noise—0
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
Global ECG Classification by Self-Operational Neural Networks with Feature Injection—0
Graph Neural Networks for Topological Feature Extraction in ECG Classification—0
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search—0
Identifying Arrhythmias Based on ECG Classification Using Enhanced-PCA and Enhanced-SVM Methods—0
Improving ECG Classification Interpretability using Saliency Maps—0
Integrating Notch Filtering and Statistical Methods for Improved Cardiac Diagnostics Using MATLAB—0
Inter-Patient ECG Classification with Convolutional and Recurrent Neural Networks—0
Inter-Patient ECG Heartbeat Classification with Temporal VCG Optimized by PSO—0
Interpretable ECG classification via a query-based latent space traversal (qLST)—0
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection—0
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis—0
Low-dimensional Denoising Embedding Transformer for ECG Classification—0
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices—0
Masked Transformer for Electrocardiogram Classification—0
MSW-Transformer: Multi-Scale Shifted Windows Transformer Networks for 12-Lead ECG Classification—0
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split AttentionCode0
Transfer Learning in ECG Diagnosis: Is It Effective?Code0
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG DiagnosisCode0
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram DataCode0
Heartbeat classification using various machine learning models: A comparative studyCode0
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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