AIMC Topic: Blood Pressure Determination
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Predicting Blood Pressures for Pregnant Women by PPG and Personalized Deep Learning.
IEEE journal of biomedical and health informatics
Jan 7, 2025
Blood pressure (BP) is predicted by this effort based on photoplethysmography (PPG) data to provide effective pre-warning of possible preeclampsia of pregnant women. Towards frequent BP measurement, a PPG sensor device is utilized in this study as a ...
Machine learning models based on FEM simulation of hoop mode vibrations to enable ultrasonic cuffless measurement of blood pressure.
Medical & biological engineering & computing
Jan 6, 2025
Blood pressure (BP) is one of the vital physiological parameters, and its measurement is done routinely for almost all patients who visit hospitals. Cuffless BP measurement has been of great research interest over the last few years. In this paper, w...
Early detection of high blood pressure from natural speech sounds with graph diffusion network.
Computers in biology and medicine
Dec 22, 2024
This study presents an innovative approach to cuffless blood pressure prediction by integrating speech and demographic features. With a focus on non-invasive monitoring, especially in remote regions, our model harnesses speech signals and demographic...
Blood Pressure Estimation Using Explainable Deep-Learning Models Based on Photoplethysmography.
Anesthesia and analgesia
Dec 16, 2024
BACKGROUND: Due to their invasiveness, arterial lines are not typically used in routine monitoring, despite their superior responsiveness in hemodynamic monitoring and detecting intraoperative hypotension. To address this issue, noninvasive, continuo...
Robust modelling of arterial blood pressure reconstruction from photoplethysmography.
Scientific reports
Dec 5, 2024
Blood pressure is a crucial indicator of cardiovascular disease, and arterial blood pressure (ABP) waveforms contain information that reflects the cardiovascular status. We propose a novel deep-learning method that converts photoplethysmogram (PPG) s...
BP-Net: Monitoring "Changes" in Blood Pressure Using PPG With Self-Contrastive Masking.
IEEE journal of biomedical and health informatics
Dec 5, 2024
Estimating blood pressure (BP) values from physiological signals (e.g., photoplethysmogram (PPG)) using deep learning models has recently received increased attention, yet challenges remain in terms of models' generalizability. Here, we propose takin...
MIMIC-BP: A curated dataset for blood pressure estimation.
Scientific data
Nov 15, 2024
Blood pressure (BP) is one of the most prominent indicators of potential cardiovascular disorders. Traditionally, BP measurement relies on inflatable cuffs, which is inconvenient and limit the acquisition of such important health-related information ...
GloGen: PPG prompts for few-shot transfer learning in blood pressure estimation.
Computers in biology and medicine
Oct 8, 2024
With the rapid advancements in machine learning, its applications in the medical field have garnered increasing interest, particularly in non-invasive health monitoring methods. Blood pressure (BP) estimation using Photoplethysmogram (PPG) signals pr...
A review of machine learning methods for non-invasive blood pressure estimation.
Journal of clinical monitoring and computing
Sep 21, 2024
Blood pressure is a very important clinical measurement, offering valuable insights into the hemodynamic status of patients. Regular monitoring is crucial for early detection, prevention, and treatment of conditions like hypotension and hypertension,...
Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.
Journal of clinical monitoring and computing
Aug 19, 2024
PURPOSE: Intraoperative hypotension is associated with adverse outcomes. Predicting and proactively managing hypotension can reduce its incidence. Previously, hypotension prediction algorithms using artificial intelligence were developed for invasive...
Adult
Area Under Curve
Databases, Factual
Male
Electrocardiography
Female
Blood Pressure Monitors
Deep Learning
Hypotension
Middle Aged
Reproducibility of Results
Blood Pressure Determination
Capnography
Intraoperative Complications
Monitoring, Intraoperative
Aged
Humans
Blood Pressure
Consciousness Monitors
ROC Curve
Artificial Intelligence
Photoplethysmography
Algorithms
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