Blood pressure estimation
7 papers with code • 2 benchmarks • 2 datasets
Latest papers with no code
BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
Unlike previous methods, our approach requires the predicted ABP waveforms to satisfy the Navier-Stokes equation with a time-periodic condition and a Windkessel boundary condition.
MSPM: A Multi-Site Physiological Monitoring Dataset for Remote Pulse, Respiration, and Blood Pressure Estimation
We provide thorough experiments demonstrating the suitability of MSPM to support research on rPPG, respiration rate, and PTT.
Speech-Based Blood Pressure Estimation with Enhanced Optimization and Incremental Clustering
Blood Pressure (BP) estimation plays a pivotal role in diagnosing various health conditions, highlighting the need for innovative approaches to overcome conventional measurement challenges.
RGB Camera-Based Blood Pressure Measurement Using U-Net Basic Generative Model
Blood pressure is a fundamental health metric widely employed to predict cardiac diseases and monitor overall well-being.
"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis
The use of observed wearable sensor data (e. g., photoplethysmograms [PPG]) to infer health measures (e. g., glucose level or blood pressure) is a very active area of research.
Schrödinger Spectrum based Continuous Cuff-less Blood Pressure Estimation using Clinically Relevant Features from PPG Signal and its Second Derivative
The noise stress tests showed that the algorithm maintained its key feature detection, signal reconstruction capability, and estimation accuracy up to a 10 dB SNR ratio.
BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture
Objective: The paper focuses on development of robust and accurate processing solutions for continuous and cuff-less blood pressure (BP) monitoring.
A Novel Clustering-Based Algorithm for Continuous and Non-invasive Cuff-Less Blood Pressure Estimation
as independent variables and extracting features from Arterial Blood Pressure (ABP) signals as dependent variables, and then using machine learning algorithms to develop a blood pressure estimation model based on these data.
Wearable Health Monitoring System for Older Adults in a Smart Home Environment
We have also proposed a blood pressure estimation model using PPG signal and advanced regression techniques for integration with the stress detection model in the wearable health monitoring system.
ECG-Based Blood Pressure Estimation Using Mechano-Electric Coupling Concept
A new method to estimate the blood pressure including is proposed which uses only the Electrocardiograph signal.