Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xiaoda, Han, Kaiqiao, Xu, Yuhao, Luo, Xiao, Sun, Yizhou, Wang, Wei, Yang, Carl |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model
by: Xu, Yuhao, et al.
Published: (2025)
by: Xu, Yuhao, et al.
Published: (2025)
ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model
by: Xu, Yuhao, et al.
Published: (2026)
by: Xu, Yuhao, et al.
Published: (2026)
An Electrocardiogram Multi-task Benchmark with Comprehensive Evaluations and Insightful Findings
by: Xu, Yuhao, et al.
Published: (2025)
by: Xu, Yuhao, et al.
Published: (2025)
Exploring Correlations of Self-Supervised Tasks for Graphs
by: Fang, Taoran, et al.
Published: (2024)
by: Fang, Taoran, et al.
Published: (2024)
ECGTwin: Personalized ECG Generation Using Controllable Diffusion Model
by: Lai, Yongfan, et al.
Published: (2025)
by: Lai, Yongfan, et al.
Published: (2025)
Fast Inference of Removal-Based Node Influence
by: Li, Weikai, et al.
Published: (2024)
by: Li, Weikai, et al.
Published: (2024)
Inference Attacks Against Graph Generative Diffusion Models
by: Wang, Xiuling, et al.
Published: (2026)
by: Wang, Xiuling, et al.
Published: (2026)
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)
Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting
by: Wang, Xiaoda, et al.
Published: (2025)
by: Wang, Xiaoda, et al.
Published: (2025)
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
by: Cao, Defu, et al.
Published: (2024)
by: Cao, Defu, et al.
Published: (2024)
Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation
by: Zhao, Chu, et al.
Published: (2025)
by: Zhao, Chu, et al.
Published: (2025)
ECG-RAMBA: Zero-Shot ECG Generalization by Morphology-Rhythm Disentanglement and Long-Range Modeling
by: Nguyen, Hai Duong, et al.
Published: (2025)
by: Nguyen, Hai Duong, et al.
Published: (2025)
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
by: Huang, Zijie, et al.
Published: (2024)
by: Huang, Zijie, et al.
Published: (2024)
Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model
by: Liu, Zhangdaihong, et al.
Published: (2026)
by: Liu, Zhangdaihong, et al.
Published: (2026)
AnyECG-Lab: An Exploration Study of Fine-tuning an ECG Foundation Model to Estimate Laboratory Values from Single-Lead ECG Signals
by: Xiao, Yujie, et al.
Published: (2025)
by: Xiao, Yujie, et al.
Published: (2025)
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
by: Jin, Jiarui, et al.
Published: (2025)
by: Jin, Jiarui, et al.
Published: (2025)
Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons
by: Tang, Wei, et al.
Published: (2026)
by: Tang, Wei, et al.
Published: (2026)
High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training
by: Huang, Zhuoyi, et al.
Published: (2025)
by: Huang, Zhuoyi, et al.
Published: (2025)
CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy
by: Qin, Zehao, et al.
Published: (2026)
by: Qin, Zehao, et al.
Published: (2026)
Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-View Echos
by: Liman, Michelle Espranita, et al.
Published: (2026)
by: Liman, Michelle Espranita, et al.
Published: (2026)
De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion
by: Sun, Xichen, et al.
Published: (2026)
by: Sun, Xichen, et al.
Published: (2026)
ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
by: Nguyen, Phu X., et al.
Published: (2025)
by: Nguyen, Phu X., et al.
Published: (2025)
Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos
by: Wang, Yizhou, et al.
Published: (2023)
by: Wang, Yizhou, et al.
Published: (2023)
Protein Large Language Models: A Comprehensive Survey
by: Xiao, Yijia, et al.
Published: (2025)
by: Xiao, Yijia, et al.
Published: (2025)
HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding
by: Xie, Yihan, et al.
Published: (2025)
by: Xie, Yihan, et al.
Published: (2025)
AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling
by: Li, Jun, et al.
Published: (2026)
by: Li, Jun, et al.
Published: (2026)
Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay
by: Chen, Yuyang, et al.
Published: (2024)
by: Chen, Yuyang, et al.
Published: (2024)
PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection
by: Fang, Xiaocheng, et al.
Published: (2025)
by: Fang, Xiaocheng, et al.
Published: (2025)
OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records
by: Wan, Zhijiang, et al.
Published: (2025)
by: Wan, Zhijiang, et al.
Published: (2025)
Anomaly Detection and Generation with Diffusion Models: A Survey
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Bridging Performance Gaps for ECG Foundation Models: A Post-Training Strategy
by: Zhou, Ya, et al.
Published: (2025)
by: Zhou, Ya, et al.
Published: (2025)
How Well Do Multimodal Models Reason on ECG Signals?
by: Xu, Maxwell A., et al.
Published: (2026)
by: Xu, Maxwell A., et al.
Published: (2026)
Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective
by: Pan, Tan, et al.
Published: (2025)
by: Pan, Tan, et al.
Published: (2025)
AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings
by: Wang, Yue, et al.
Published: (2024)
by: Wang, Yue, et al.
Published: (2024)
Social Physics Informed Diffusion Model for Crowd Simulation
by: Chen, Hongyi, et al.
Published: (2024)
by: Chen, Hongyi, et al.
Published: (2024)
ExECG: An Explainable AI Framework for ECG models
by: Jang, Jong-Hwan, et al.
Published: (2026)
by: Jang, Jong-Hwan, et al.
Published: (2026)
CCD: Continual Consistency Diffusion for Lifelong Generative Modeling
by: Liu, Jingren, et al.
Published: (2025)
by: Liu, Jingren, et al.
Published: (2025)
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
by: Wang, Xiaoqi, et al.
Published: (2022)
by: Wang, Xiaoqi, et al.
Published: (2022)
SCALEX: Scalable Concept and Latent Exploration for Diffusion Models
by: Zeng, E. Zhixuan, et al.
Published: (2025)
by: Zeng, E. Zhixuan, et al.
Published: (2025)
Similar Items
-
PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation
by: Wang, Xiaoda, et al.
Published: (2026) -
EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model
by: Xu, Yuhao, et al.
Published: (2025) -
ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model
by: Xu, Yuhao, et al.
Published: (2026) -
An Electrocardiogram Multi-task Benchmark with Comprehensive Evaluations and Insightful Findings
by: Xu, Yuhao, et al.
Published: (2025) -
Exploring Correlations of Self-Supervised Tasks for Graphs
by: Fang, Taoran, et al.
Published: (2024)