Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
Wearable health devices for diagnosis support: evolution and future tendencies
The use of wearable devices has increased substantially in recent years. This, together with
the rise of telemedicine, has led to the use of these types of devices in the healthcare field. In …
the rise of telemedicine, has led to the use of these types of devices in the healthcare field. In …
IoT and health monitoring wearable devices as enabling technologies for sustainable enhancement of life quality in smart environments
Abstract The Internet of Things (IoT) technology with wearable devices provides a promising
solution that enables con-tinuous monitoring of health parameters. Non-invasive sensors …
solution that enables con-tinuous monitoring of health parameters. Non-invasive sensors …
Applications of transistor-based biochemical sensors
Q Gao, J Fu, S Li, D Ming - Biosensors, 2023 - mdpi.com
Transistor-based biochemical sensors feature easy integration with electronic circuits and
non-invasive real-time detection. They have been widely used in intelligent wearable …
non-invasive real-time detection. They have been widely used in intelligent wearable …
Intelligent cardiovascular disease diagnosis using deep learning enhanced neural network with ant colony optimization
B Xia, N Innab, V Kandasamy, A Ahmadian… - Scientific Reports, 2024 - nature.com
To identify patterns in big medical datasets and use Deep Learning and Machine Learning
(ML) to reliably diagnose Cardio Vascular Disease (CVD), researchers are currently delving …
(ML) to reliably diagnose Cardio Vascular Disease (CVD), researchers are currently delving …
Metrology-based design of a wearable augmented reality system for monitoring patient's vitals in real time
P Arpaia, E De Benedetto, CA Dodaro… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
In this work, an augmented-reality (AR) system for monitoring patient's vitals in real time
during surgical procedures is proposed and metrologically characterized in terms of …
during surgical procedures is proposed and metrologically characterized in terms of …
Photoplethysmography Signal Wavelet Enhancement and Novel Features Selection for Non-Invasive Cuff-Less Blood Pressure Monitoring
In this paper, new features relevant to blood pressure (BP) estimation using
photoplethysmography (PPG) are presented. A total of 195 features, including the proposed …
photoplethysmography (PPG) are presented. A total of 195 features, including the proposed …
Machine learning-based heart disease prediction: A study for home personalized care
This study develops a framework for personalized care to tackle heart disease risk using an
at-home system. The machine learning models used to predict heart disease are Logistic …
at-home system. The machine learning models used to predict heart disease are Logistic …
Automated cardiovascular disease diagnosis using Honey Badger Optimization with modified deep learning model
The leading cause of death among people around the world is cardiovascular disease
(CVD). In order to prevent patients from other damages, precise diagnostics of CVD on time …
(CVD). In order to prevent patients from other damages, precise diagnostics of CVD on time …
[HTML][HTML] Monitoring the evolution of dimensional accuracy and product properties in property-controlled forming processes
SC Stebner, J Martschin, B Arian, S Dietrich… - Advances in Industrial …, 2024 - Elsevier
As recent trends in manufacturing engineering disciplines show a clear development in the
sustainable as well as economically efficient design of forming processes, monitoring …
sustainable as well as economically efficient design of forming processes, monitoring …