CPR: Causal Physiological Representation Learning for Robust ECG Analysis under Distribution Shifts
Fuente:
arXiv
Saved in:
| Main Authors: | Jia, Shunbo, Liao, Caizhi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SCAR: Semantic Cardiac Adversarial Representation via Spatiotemporal Manifold Optimization in ECG
by: Jia, Shunbo, et al.
Published: (2025)
by: Jia, Shunbo, et al.
Published: (2025)
Learning ECG Representations via Poly-Window Contrastive Learning
by: Yuan, Yi, et al.
Published: (2025)
by: Yuan, Yi, et al.
Published: (2025)
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
by: Soltanieh, Sahar, et al.
Published: (2023)
by: Soltanieh, Sahar, et al.
Published: (2023)
TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
by: Wang, Ziyu, et al.
Published: (2025)
by: Wang, Ziyu, et al.
Published: (2025)
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets
by: Wang, Ziyu, et al.
Published: (2024)
by: Wang, Ziyu, et al.
Published: (2024)
Comparison of Autoencoder Encodings for ECG Representation in Downstream Prediction Tasks
by: Harvey, Christopher J., et al.
Published: (2024)
by: Harvey, Christopher J., et al.
Published: (2024)
Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
by: Ibtehaz, Nabil, et al.
Published: (2024)
by: Ibtehaz, Nabil, et al.
Published: (2024)
MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution
by: Lin, Jie, et al.
Published: (2024)
by: Lin, Jie, et al.
Published: (2024)
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
by: Wagner, Patrick, et al.
Published: (2023)
by: Wagner, Patrick, et al.
Published: (2023)
A Masked Representation Learning to Model Cardiac Functions Using Multiple Physiological Signals
by: Park, Seong-A, et al.
Published: (2025)
by: Park, Seong-A, et al.
Published: (2025)
Comparative Analysis of Data Augmentation for Clinical ECG Classification with STAR
by: Nemati, Nader
Published: (2025)
by: Nemati, Nader
Published: (2025)
DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection
by: You, Siyu, et al.
Published: (2025)
by: You, Siyu, et al.
Published: (2025)
Deep learning model for ECG reconstruction reveals the information content of ECG leads
by: Gradowski, Tomasz, et al.
Published: (2025)
by: Gradowski, Tomasz, et al.
Published: (2025)
A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR
by: Islam, Saidul, et al.
Published: (2024)
by: Islam, Saidul, et al.
Published: (2024)
Exploring Best Practices for ECG Pre-Processing in Machine Learning
by: Salimi, Amir, et al.
Published: (2023)
by: Salimi, Amir, et al.
Published: (2023)
PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation
by: Wang, Xiaoda, et al.
Published: (2026)
by: Wang, Xiaoda, et al.
Published: (2026)
Learning Graph from Smooth Signals under Partial Observation: A Robustness Analysis
by: Nguyen, Hoang-Son, et al.
Published: (2025)
by: Nguyen, Hoang-Son, et al.
Published: (2025)
SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation
by: Skorik, Sergey, et al.
Published: (2024)
by: Skorik, Sergey, et al.
Published: (2024)
Enhancing AI-Based ECG Delineation with Deep Learning Denoising Techniques
by: Breeding-Allison, Jeff, et al.
Published: (2026)
by: Breeding-Allison, Jeff, et al.
Published: (2026)
Machine Learning-Based Analysis of ECG and PCG Signals for Rheumatic Heart Disease Detection: A Scoping Review (2015-2025)
by: Olatunji, Damilare Emmanuel, et al.
Published: (2025)
by: Olatunji, Damilare Emmanuel, et al.
Published: (2025)
ECGXtract: Deep Learning-based ECG Feature Extraction for Automated CVD Diagnosis
by: Abuzied, Youssif, et al.
Published: (2025)
by: Abuzied, Youssif, et al.
Published: (2025)
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
by: Jiang, Wei-Bang, et al.
Published: (2025)
by: Jiang, Wei-Bang, et al.
Published: (2025)
A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
by: Gao, Hongxiang, et al.
Published: (2023)
by: Gao, Hongxiang, et al.
Published: (2023)
Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
by: Zhou, Hao, et al.
Published: (2026)
by: Zhou, Hao, et al.
Published: (2026)
Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification
by: Jeong, Sam, et al.
Published: (2025)
by: Jeong, Sam, et al.
Published: (2025)
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition
by: Mansourian, Nastaran, et al.
Published: (2025)
by: Mansourian, Nastaran, et al.
Published: (2025)
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG
by: Ben-Moshe, Noam, et al.
Published: (2023)
by: Ben-Moshe, Noam, et al.
Published: (2023)
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
by: Thapa, Rahul, et al.
Published: (2024)
by: Thapa, Rahul, et al.
Published: (2024)
Generating Realistic Multi-Beat ECG Signals
by: Pöhl, Paul, et al.
Published: (2025)
by: Pöhl, Paul, et al.
Published: (2025)
Optimizing Neural Network Scale for ECG Classification
by: Lee, Byeong Tak, et al.
Published: (2023)
by: Lee, Byeong Tak, et al.
Published: (2023)
Self-Trained Model for ECG Complex Delineation
by: Avetisyan, Aram, et al.
Published: (2024)
by: Avetisyan, Aram, et al.
Published: (2024)
Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning
by: Schroth, Christian A., et al.
Published: (2024)
by: Schroth, Christian A., et al.
Published: (2024)
HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis
by: Tahery, Saedeh, et al.
Published: (2024)
by: Tahery, Saedeh, et al.
Published: (2024)
Neuro-Informed Adaptive Learning (NIAL) Algorithm: A Hybrid Deep Learning Approach for ECG Signal Classification
by: Rahman, Sowad
Published: (2025)
by: Rahman, Sowad
Published: (2025)
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
by: Occhipinti, Edoardo, et al.
Published: (2024)
by: Occhipinti, Edoardo, et al.
Published: (2024)
Evaluating the Efficacy of Vectocardiographic and ECG Parameters for Efficient Tertiary Cardiology Care Allocation Using Decision Tree Analysis
by: da Costa, Lucas José, et al.
Published: (2024)
by: da Costa, Lucas José, et al.
Published: (2024)
ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction
by: Riek, Nathan T., et al.
Published: (2024)
by: Riek, Nathan T., et al.
Published: (2024)
ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
by: Aghaomidi, Poorya, et al.
Published: (2024)
by: Aghaomidi, Poorya, et al.
Published: (2024)
Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification
by: Owfi, Ali, et al.
Published: (2025)
by: Owfi, Ali, et al.
Published: (2025)
Similar Items
-
SCAR: Semantic Cardiac Adversarial Representation via Spatiotemporal Manifold Optimization in ECG
by: Jia, Shunbo, et al.
Published: (2025) -
Learning ECG Representations via Poly-Window Contrastive Learning
by: Yuan, Yi, et al.
Published: (2025) -
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
by: Soltanieh, Sahar, et al.
Published: (2023) -
TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
by: Wang, Ziyu, et al.
Published: (2025) -
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets
by: Wang, Ziyu, et al.
Published: (2024)