SOTAVerified

Blood pressure estimation

Papers

Showing 110 of 29 papers

TitleStatusHype
Domain Knowledge Integrated CNN-xLSTM-xAtt Network with Multi Stream Feature Fusion for Cuffless Blood Pressure Estimation from Photoplethysmography SignalsCode1
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking StudyCode1
PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure EstimationCode1
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG TranslationCode1
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram SignalsCode1
BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using PhotoplethysmogramCode1
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural NetworksCode1
A Dataset and Toolkit for Multiparameter Cardiovascular Physiology Sensing on Rings0
Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation0
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables0
Show:102550
← PrevPage 1 of 3Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random Forest (features, with personalization)MAE for SBP [mmHg]13.62Unverified
2ResNet (raw PPG + PPG’ + PPG”, with personalization)MAE for SBP [mmHg]9.43Unverified
3Deep RNNMAE for SBP [mmHg]8.54Unverified
4Domain Knowledge Integrated CNN-xLSTM-xAtt NrtworkMean Squared Error0.05Unverified
#ModelMetricClaimedVerifiedStatus
1Deep RNNRMSE3.73Unverified
#ModelMetricClaimedVerifiedStatus
1Domain Knowledge Integrated CNN-xLSTM-xAtt NrtworkMAE1.58Unverified