Advancing Quantum Machine Learning: From Theoretical Concepts to Experimental Implementations
This paper explores quantum machine learning, examining its theoretical foundations,
challenges, and practical implementation. It addresses the gap between theoretical …
challenges, and practical implementation. It addresses the gap between theoretical …
Continuous blood pressure monitoring based on transformer encoders and stacked attention gated recurrent units
Z Huang, J Shao, P Zhou, B Liu, J Zhu… - … Signal Processing and …, 2025 - Elsevier
Continuous blood pressure monitoring (CBPM) is critical to support the accurate prevention
and reliable treatment of cardiovascular diseases. To achieve efficient multi-information …
and reliable treatment of cardiovascular diseases. To achieve efficient multi-information …
Schrödinger spectrum and slim CNN architecture-based signal quality estimation for Photoplethysmogram signals
Photoplethysmography (PPG) signal comprises physiological information related to
cardiorespiratory health. However, these signals are often contaminated by motion artifacts …
cardiorespiratory health. However, these signals are often contaminated by motion artifacts …
Stratified diagnosis of cotton canopy spectral characteristics based on CWT-SPA and its relationship with moisture, nitrogen, and SPAD values
N Zhang, X Zhang, P Shang, XT Yuan… - International Journal of …, 2024 - Taylor & Francis
Cotton is an economically valuable crop worldwide, and accurate and rapid leaf moisture
content, nitrogen content, and soil plant analysis development (SPAD) value estimations are …
content, nitrogen content, and soil plant analysis development (SPAD) value estimations are …
From video to vital signs: using personal device cameras to measure pulse rate and predict blood pressure using explainable AI
LD van Putten, KE Bamford, I Veleslavov… - Discover Applied …, 2024 - Springer
In this study, we address the need for low-cost, rapid, and reliable methods for blood
pressure measurement to facilitate timely diagnosis and treatment of hypertension. We aim …
pressure measurement to facilitate timely diagnosis and treatment of hypertension. We aim …
Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivatives
EJ Argüello-Prada, CDC Mosquera - 2024 - researchsquare.com
Abstract Machine learning has proven valuable in developing PPG-based approaches for
blood pressure (BP) estimation, with many holding some promise for cuff-less BP …
blood pressure (BP) estimation, with many holding some promise for cuff-less BP …
An efficient Blood pressure estimation algorithm based on machine learning using a mixture of non-contact hand-face PPG signals features
Hypertension, or high blood pressure, occurs when blood forcefully presses against artery
walls, increasing heart and health risks. Blood pressure is typically measured with a …
walls, increasing heart and health risks. Blood pressure is typically measured with a …