Imagen de Portada

Aortic Valve Disease Detection from PPG via Physiology-Informed Self-Supervised Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Jiaze, Zhao, Qinghao, Chen, Zizheng, Sun, Zhejun, Zhang, Deyun, Zhou, Yuxi, Hong, Shenda
Formato:	Preprint
Publicado:	2026
Materias:	Signal Processing Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Scoping Review of Deep Learning Methods for Photoplethysmography Data
por: Nie, Guangkun, et al.
Publicado: (2024)

A Deep Learning Method for Beat-Level Risk Analysis and Interpretation of Atrial Fibrillation Patients during Sinus Rhythm
por: Lei, Jun, et al.
Publicado: (2024)

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations
por: Zhang, Deyun, et al.
Publicado: (2025)

Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health
por: Nie, Guangkun, et al.
Publicado: (2024)

Artificial Intelligence-derived Photoplethysmography Age as a Digital Biomarker for Cardiovascular Health
por: Nie, Guangkun, et al.
Publicado: (2025)

AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health Profiling
por: Nie, Guangkun, et al.
Publicado: (2025)

EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation
por: Benfenati, Luca, et al.
Publicado: (2024)

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

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

Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
por: Shao, Wei, et al.
Publicado: (2025)

Artificial Intelligence-Enabled Spirometry for Early Detection of Right Heart Failure
por: Liu, Bin, et al.
Publicado: (2025)

On-device Computation of Single-lead ECG Parameters for Real-time Remote Cardiac Health Assessment: A Real-world Validation Study
por: Fan, Sumei, et al.
Publicado: (2025)

Opportunistic Screening of Wolff-Parkinson-White Syndrome using Single-Lead AI-ECG Mobile System: A Real-World Study of over 3.5 million ECG Recordings in China
por: Huang, Shun, et al.
Publicado: (2025)

Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG
por: Jin, Jiarui, et al.
Publicado: (2025)

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
por: Kechris, Christodoulos, et al.
Publicado: (2024)

PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation
por: Wang, Xiaoda, et al.
Publicado: (2026)

mtslearn: Machine Learning in Python for Medical Time Series
por: Jiang, Zhongheng, et al.
Publicado: (2026)

On Improving PPG-Based Sleep Staging: A Pilot Study
por: Wang, Jiawei, et al.
Publicado: (2025)

Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning
por: Soumma, Shovito Barua, et al.
Publicado: (2024)

TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection
por: Zuo, Chunsheng, et al.
Publicado: (2025)

Optimizing Domain-Adaptive Self-Supervised Learning for Clinical Voice-Based Disease Classification
por: Liu, Weixin, et al.
Publicado: (2026)

Revolutionizing Wireless Networks with Self-Supervised Learning: A Pathway to Intelligent Communications
por: Yang, Zhixiang, et al.
Publicado: (2024)

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

A Comprehensive PPG-based Dataset for HR/HRV Studies
por: Xu, Jingye, et al.
Publicado: (2025)

Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping
por: Xie, Donglin, et al.
Publicado: (2026)

Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health
por: Zhou, Songchi, et al.
Publicado: (2024)

Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems
por: Xu, Kaidi, et al.
Publicado: (2025)

Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning
por: Miao, Yuyang, et al.
Publicado: (2023)

SpellerSSL: Self-Supervised Learning with P300 Aggregation for Speller BCIs
por: Hong, Jiazhen, et al.
Publicado: (2025)

Leveraging Self-Supervised Learning for MIMO-OFDM Channel Representation and Generation
por: Liu, Zongxi, et al.
Publicado: (2024)

ApSense: Data-driven Algorithm in PPG-based Sleep Apnea Sensing
por: Choksatchawathi, Tanut, et al.
Publicado: (2023)

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network
por: Soliman, Abdelrhman Y., et al.
Publicado: (2024)

Artificial Intelligence-derived Cardiotocography Age as a Digital Biomarker for Predicting Future Adverse Pregnancy Outcomes
por: Gu, Jinshuai, et al.
Publicado: (2025)

Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring
por: Meier, Manuel, et al.
Publicado: (2024)

Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG
por: Liang, Zequan, et al.
Publicado: (2025)

Self-Supervised Learning via VICReg Enables Training of EMG Pattern Recognition Using Continuous Data with Unclear Labels
por: Raghu, Shriram Tallam Puranam, et al.
Publicado: (2024)

Self-Supervised Learning for Covariance Estimation
por: Diskin, Tzvi, et al.
Publicado: (2024)

ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors
por: Wang, Guoxin, et al.
Publicado: (2024)

GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals
por: Chen, Zhaoliang, et al.
Publicado: (2025)

Longitudinal Wrist PPG Analysis for Reliable Hypertension Risk Screening Using Deep Learning
por: Lin, Hui, et al.
Publicado: (2024)