[HTML][HTML] Non-Invasive Blood Pressure Sensing via Machine Learning
In this paper, a machine learning (ML) approach to estimate blood pressure (BP) using
photoplethysmography (PPG) is presented. The final aim of this paper was to develop ML …
photoplethysmography (PPG) is presented. The final aim of this paper was to develop ML …
Comparative Study of Brain Signals for Early Detection of Sleep Disorder Using Machine and Deep Learning Algorithm
SK Satapathy, V Patel, M Gandhi… - … in Technology and …, 2024 - ieeexplore.ieee.org
Sleep disorders are a common health concern affecting a significant portion of the global
population. Early detection and intervention are crucial for preventing the detrimental impact …
population. Early detection and intervention are crucial for preventing the detrimental impact …
Insomnia Forecasting using Cutting-Edge Deep Learning Techniques
In this article, we provide the findings of an in-depth examination of the use of Convolutional
Neural Networks (also known as CNNs) as well as Random Forests (RFs) to perform the …
Neural Networks (also known as CNNs) as well as Random Forests (RFs) to perform the …
Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management
The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in
medicine, where it has enabled the modeling of complex relationships from massive …
medicine, where it has enabled the modeling of complex relationships from massive …