Copertina

Benchmarking and Enhancing PPG-Based Cuffless Blood Pressure Estimation Methods

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mathew, Neville, Shen, Yidan, Hu, Renjie, Rahimi, Maham, Zouridakis, George
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Signal Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation
di: Wang, Rui, et al.
Pubblicazione: (2024)

Cuffless Blood Pressure Estimation from Six Wearable Sensor Modalities in Multi-Motion-State Scenarios
di: Chen, Yiqiao, et al.
Pubblicazione: (2025)

Generalizable Blood Pressure Estimation from Multi-Wavelength PPG Using Curriculum-Adversarial Learning
di: Liang, Zequan, et al.
Pubblicazione: (2025)

Accelerometric Method for Cuffless Continuous Blood Pressure Measurement
di: Das, Mousumi, et al.
Pubblicazione: (2020)

TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing
di: Arjomand, Amir, et al.
Pubblicazione: (2024)

Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation
di: Tóth, Bálint, et al.
Pubblicazione: (2025)

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

Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
di: Burrello, Alessio, et al.
Pubblicazione: (2024)

Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning
di: Nawaz, Muhammad Wasim, et al.
Pubblicazione: (2024)

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU
di: Kazemi, Kianoosh, et al.
Pubblicazione: (2024)

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

Deriving Health Metrics from the Photoplethysmogram: Benchmarks and Insights from MIMIC-III-Ext-PPG
di: Moulaeifard, Mohammad, et al.
Pubblicazione: (2026)

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

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

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

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

Large Language Models for Cuffless Blood Pressure Measurement From Wearable Biosignals
di: Liu, Zengding, et al.
Pubblicazione: (2024)

Enhancing Generalization in PPG-Based Emotion Measurement with a CNN-TCN-LSTM Model
di: Alghoul, Karim, et al.
Pubblicazione: (2025)

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

CLEP-GAN: An Innovative Approach to Subject-Independent ECG Reconstruction from PPG Signals
di: Li, Xiaoyan, et al.
Pubblicazione: (2025)

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

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
di: Yan, Runze, et al.
Pubblicazione: (2024)

Aortic Valve Disease Detection from PPG via Physiology-Informed Self-Supervised Learning
di: Wang, Jiaze, et al.
Pubblicazione: (2026)

PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model
di: Suzuki, Shuntaro, et al.
Pubblicazione: (2026)

f-GAN: A frequency-domain-constrained generative adversarial network for PPG to ECG synthesis
di: Kong, Nathan C. L., et al.
Pubblicazione: (2024)

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

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

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings
di: Saha, Mithun, et al.
Pubblicazione: (2025)

Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array
di: Hu, Yunqiao, et al.
Pubblicazione: (2024)

Beyond Single-Channel: Multichannel Signal Imaging for PPG-to-ECG Reconstruction with Vision Transformers
di: Li, Xiaoyan, et al.
Pubblicazione: (2025)

BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality Distillation
di: Bello, Hymalai, et al.
Pubblicazione: (2024)

Enhancing Corrosion Resistance of Aluminum Alloys Through AI and ML Modeling
di: Kaboudvand, Farnaz, et al.
Pubblicazione: (2025)

Machine Learning Assisted Postural Movement Recognition using Photoplethysmography(PPG)
di: Maccay, Robbie, et al.
Pubblicazione: (2024)

A Benchmark Study of Deep Learning Methods for Multi-Label Pediatric Electrocardiogram-Based Cardiovascular Disease Classification
di: Chen, Yiqiao
Pubblicazione: (2025)

Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric
di: Tessari, Federico, et al.
Pubblicazione: (2024)

Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis
di: Chen, Xi, et al.
Pubblicazione: (2024)

A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection
di: Le, Thanh-Dung, et al.
Pubblicazione: (2024)

Deep Learning Modeling Method for RF Devices Based on Uniform Noise Training Set
di: Hu, Zhaokun, et al.
Pubblicazione: (2024)

SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography
di: Attia, Shirel, et al.
Pubblicazione: (2024)

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