Buchumschlag

PMB-NN: Physiology-Centred Hybrid AI for Personalized Hemodynamic Monitoring from Photoplethysmography

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Zhang, Yaowen, Fresiello, Libera, Veltink, Peter H., Donker, Dirk W., Wang, Ying
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Medical Physics Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Physiological-model-based neural network for modeling the metabolic-heart rate relationship during physical activities
von: Zhang, Yaowen, et al.
Veröffentlicht: (2025)

A Physiological-Model-Based Neural Network Framework for Blood Pressure Estimation from Photoplethysmography Signals
von: Zhang, Yaowen, et al.
Veröffentlicht: (2025)

Cross-View Attention Fusion Net: A Prior-Guided Dual-View Representation Learning for Cardiac Output Estimation from Short-Term PPG Signals
von: Zhang, Yaowen, et al.
Veröffentlicht: (2026)

Physiological control for left ventricular assist devices based on deep reinforcement learning
von: Diego Fernández‐Zapico, et al.
Veröffentlicht: (2024)

Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
von: Bian, Cheng, et al.
Veröffentlicht: (2024)

Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography
von: Oladunni, Timothy, et al.
Veröffentlicht: (2026)

A Mathematical Model for Skin Sympathetic Nerve Activity Simulation
von: Lin, Runwei, et al.
Veröffentlicht: (2024)

Investigating the Generalizability of Physiological Characteristics of Anxiety
von: Zhou, Emily, et al.
Veröffentlicht: (2024)

Accelerated Patient-Specific Calibration via Differentiable Hemodynamics Simulations
von: Renner, Diego, et al.
Veröffentlicht: (2024)

Hybrid Modeling of Photoplethysmography for Non-invasive Monitoring of Cardiovascular Parameters
von: Palumbo, Emanuele, et al.
Veröffentlicht: (2025)

Exploring Strategies for Personalized Radiation Therapy: Part III Identifying genetic determinants for Radiation Response with Meta Learning
von: Peng, Hao, et al.
Veröffentlicht: (2025)

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
von: Bench, Ciaran, et al.
Veröffentlicht: (2025)

An Advanced Two-Stage Model with High Sensitivity and Generalizability for Prediction of Hip Fracture Risk Using Multiple Datasets
von: Sun, Shuo, et al.
Veröffentlicht: (2025)

Accelerometry-based Energy Expenditure Estimation During Activities of Daily Living: A Comparison Among Different Accelerometer Compositions
von: Que, Shuhao, et al.
Veröffentlicht: (2025)

Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning
von: Zhang, Jueye, et al.
Veröffentlicht: (2025)

Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy
von: Wang, Tonghe, et al.
Veröffentlicht: (2025)

Prior Frequency Guided Diffusion Model for Limited Angle (LA)-CBCT Reconstruction
von: Xie, Jiacheng, et al.
Veröffentlicht: (2024)

SpecReX: Explainable AI for Raman Spectroscopy
von: Blake, Nathan, et al.
Veröffentlicht: (2025)

Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study
von: Zhang, Jing, et al.
Veröffentlicht: (2025)

Reproducibility Assessment of Magnetic Resonance Spectroscopy of Pregenual Anterior Cingulate Cortex across Sessions and Vendors via the Cloud Computing Platform CloudBrain-MRS
von: Chen, Runhan, et al.
Veröffentlicht: (2025)

A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture
von: Shaik, Anjum, et al.
Veröffentlicht: (2024)

Spatiotemporal Gaussian representation-based dynamic reconstruction and motion estimation framework for time-resolved volumetric MR imaging (DREME-GSMR)
von: Xie, Jiacheng, et al.
Veröffentlicht: (2026)

An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS
von: Lin, Meijin, et al.
Veröffentlicht: (2025)

Cuffless, calibration-free hemodynamic monitoring with physics-informed machine learning models
von: Crandall, Henry, et al.
Veröffentlicht: (2025)

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
von: Newlin, Nancy R., et al.
Veröffentlicht: (2024)

AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows
von: Du, Pan, et al.
Veröffentlicht: (2025)

Data-driven Synthesis of Magnetic Resonance Spectroscopy Data using a Variational Autoencoder
von: van de Sande, Dennis M. J., et al.
Veröffentlicht: (2026)

DeepLight: A Sobolev-trained Image-to-Image Surrogate Model for Light Transport in Tissue
von: Haim, Philipp, et al.
Veröffentlicht: (2026)

Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning
von: Moradi, Mohammadamin, et al.
Veröffentlicht: (2025)

Imaging-Derived Coronary Fractional Flow Reserve: Advances in Physics-Based, Machine Learning, and Physics-Informed Methods
von: Zhu, Tanxin, et al.
Veröffentlicht: (2026)

High-fidelity 3D multi-slab diffusion MRI using Slab-shifting for Harmonized 3D Acquisition and Reconstruction with Profile Encoding Networks (SHARPEN)
von: Li, Ziyu, et al.
Veröffentlicht: (2026)

Screening of BindingDB database ligands against EGFR, HER2, Estrogen, Progesterone and NF-kB receptors based on machine learning and molecular docking
von: Rezaee, Parham, et al.
Veröffentlicht: (2024)

Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data
von: Haidar, Ali, et al.
Veröffentlicht: (2024)

Uncertainty quantification in neural network-based glucose prediction for diabetes
von: Tan, Hai Siong, et al.
Veröffentlicht: (2026)

Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound
von: Byra, Michal, et al.
Veröffentlicht: (2024)

Untargeted analysis of volatile markers of post-exercise fat oxidation in exhaled breath
von: Homeyer, André, et al.
Veröffentlicht: (2026)

Deep convolutional framelets for dose reconstruction in BNCT with Compton camera detector
von: Didonna, Angelo, et al.
Veröffentlicht: (2024)

Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction
von: Puttanawarut, Chanon, et al.
Veröffentlicht: (2024)

BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
von: Li, Lingfeng, et al.
Veröffentlicht: (2024)

Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations
von: Kuppens, Daan, et al.
Veröffentlicht: (2024)