Personalized Blood Pressure Control by Machine Learning for Remote ...
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2024/06/12 · An adaptive closed-loop structure has been formulated with the objective of controlling a patient's MAP through governed administration of the medication ...
2024/06/26 · The effective control of mean arterial pressure (MAP) in a closed-loop manner is particularly critical for individuals who are critically ill or ...
In this scholarly article, the functioning of an active distur- bance rejection control (ADRC) is thoroughly investigated to effectively regulate the mean ...
Personalized Blood Pressure Control by Machine Learning for Remote Patient Monitoring. M. Vu, K. Alattas, Y. Bouteraa, E. Ghaderpour, and A. Mohammadzadeh.
The aim of this study is to leverage machine learning (ML) algorithms for real-time predictions of stress-induced BP spikes using consumer wearable devices such ...
We aim to use machine learning techniques to investigate the complex relationships between BP and lifestyle factors in order to provide personalized and ...
2024/02/13 · This review investigates the convergence of artificial intelligence (AI) and personalized health monitoring through wearable devices.
2024/03/27 · Today, RPM and Internet of Medical Things (IoMT) devices can be used to continuously monitor patients' vital signs, including weight, blood ...
This paper presents a literature review on such studies. We aimed to identify the best practices, challenges, and opportunities in developing machine learning ...
2024/03/29 · RPM for hypertension utilizes digital tools and platforms to monitor patients' blood pressure and other vital signs from the comfort of their homes.