Copertina

CrossStateECG: Multi-Scale Deep Convolutional Network with Attention for Rest-Exercise ECG Biometrics

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zheng, Dan, Feng, Jing, Liu, Juan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ECG-biometrics-bench: A Unified Framework for Reproducible Benchmarking of ECG Biometrics
di: Parvan, Milad
Pubblicazione: (2026)

DE-PADA: Personalized Augmentation and Domain Adaptation for ECG Biometrics Across Physiological States
di: Saleh, Amro Abu, et al.
Pubblicazione: (2025)

EfficientECG: Cross-Attention with Feature Fusion for Efficient Electrocardiogram Classification
di: Deng, Hanhui, et al.
Pubblicazione: (2025)

Optimizing Neural Network Scale for ECG Classification
di: Lee, Byeong Tak, et al.
Pubblicazione: (2023)

ECG Biometrics with ArcFace-Inception: External Validation on MIMIC and HEEDB
di: Scagnetto, Arjuna
Pubblicazione: (2026)

Interpretable Cross-Network Attention for Resting-State fMRI Representation Learning
di: Singh, Karanpartap, et al.
Pubblicazione: (2026)

Deep learning model for ECG reconstruction reveals the information content of ECG leads
di: Gradowski, Tomasz, et al.
Pubblicazione: (2025)

ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
di: Nguyen, Phu X., et al.
Pubblicazione: (2025)

Vib2ECG: A Paired Chest-Lead SCG-ECG Dataset and Benchmark for ECG Reconstruction
di: Lu, Guorui, et al.
Pubblicazione: (2026)

In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
di: Occhipinti, Edoardo, et al.
Pubblicazione: (2024)

UCTECG-Net: Uncertainty-aware Convolution Transformer ECG Network for Arrhythmia Detection
di: Asgharnezhad, Hamzeh, et al.
Pubblicazione: (2026)

ECG Classification System for Arrhythmia Detection Using Convolutional Neural Networks
di: Odugoudar, Aryan, et al.
Pubblicazione: (2023)

A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
di: Huang, Wei, et al.
Pubblicazione: (2024)

ECG Arrhythmia Detection Using Disease-specific Attention-based Deep Learning Model
di: Jin, Linpeng
Pubblicazione: (2024)

ExECG: An Explainable AI Framework for ECG models
di: Jang, Jong-Hwan, et al.
Pubblicazione: (2026)

PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling
di: Vo, Khuong, et al.
Pubblicazione: (2023)

SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation
di: Skorik, Sergey, et al.
Pubblicazione: (2024)

EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
di: Hong, Dang Nguyen, et al.
Pubblicazione: (2026)

BenchECG and xECG: a benchmark and baseline for ECG foundation models
di: Lunelli, Riccardo, et al.
Pubblicazione: (2025)

Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-View Echos
di: Liman, Michelle Espranita, et al.
Pubblicazione: (2026)

CARE-ECG: Causal Agent-based Reasoning for Explainable and Counterfactual ECG Interpretation
di: Khatibi, Elahe, et al.
Pubblicazione: (2026)

PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection
di: Fang, Xiaocheng, et al.
Pubblicazione: (2025)

Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification
di: Jeong, Sam, et al.
Pubblicazione: (2025)

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG
di: Zhang, Huaicheng, et al.
Pubblicazione: (2025)

Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model
di: Liu, Zhangdaihong, et al.
Pubblicazione: (2026)

AnyECG-Lab: An Exploration Study of Fine-tuning an ECG Foundation Model to Estimate Laboratory Values from Single-Lead ECG Signals
di: Xiao, Yujie, et al.
Pubblicazione: (2025)

ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction
di: Riek, Nathan T., et al.
Pubblicazione: (2024)

ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
di: Aghaomidi, Poorya, et al.
Pubblicazione: (2024)

Graph-Based Spatio-temporal Attention and Multi-Scale Fusion for Clinically Interpretable, High-Fidelity Fetal ECG Extraction
di: Wang, Chang, et al.
Pubblicazione: (2025)

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
di: Kang, Lei, et al.
Pubblicazione: (2025)

Generating Realistic Multi-Beat ECG Signals
di: Pöhl, Paul, et al.
Pubblicazione: (2025)

Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
di: Rodriguez, Mario Padilla, et al.
Pubblicazione: (2025)

TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
di: Wang, Ziyu, et al.
Pubblicazione: (2025)

Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG
di: Chen, Jiarong, et al.
Pubblicazione: (2024)

PEACE: Cross-modal Enhanced Pediatric-Adult ECG Alignment for Robust Pediatric Diagnosis
di: Liu, Xinran, et al.
Pubblicazione: (2026)

GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention
di: Qin, Jiahao, et al.
Pubblicazione: (2024)

AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling
di: Li, Jun, et al.
Pubblicazione: (2026)

ECG-NAT: A Self-supervised Neighborhood Attention Transformer for Multi-lead Electrocardiogram Classification
di: Gazeran, Mahsa, et al.
Pubblicazione: (2026)

OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records
di: Wan, Zhijiang, et al.
Pubblicazione: (2025)

ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets
di: Wang, Ziyu, et al.
Pubblicazione: (2024)