Recent trends in AI-based intelligent sensing
In recent years, intelligent sensing has gained significant attention because of its
autonomous decision-making ability to solve complex problems. Today, smart sensors …
autonomous decision-making ability to solve complex problems. Today, smart sensors …
Unobtrusive health monitoring in private spaces: The smart vehicle
Unobtrusive in-vehicle health monitoring has the potential to use the driving time to perform
regular medical check-ups. This work intends to provide a guide to currently proposed …
regular medical check-ups. This work intends to provide a guide to currently proposed …
Smart touchless triboelectric nanogenerator towards safeguard and 3D morphological awareness
The advancement of wearable smart electronics in recent years provided vital platforms for
robotics, healthcare and human-machine-interfaces. Especially, as a touch-free monitoring …
robotics, healthcare and human-machine-interfaces. Especially, as a touch-free monitoring …
Magnetic flexible sensor with tension and bending discriminating detection
Q Shu, Z Xu, S Liu, J Wu, H Deng, X Gong… - Chemical Engineering …, 2022 - Elsevier
The flexible wearable sensors with high sensitivity and stability provide wide potential in
artificial intelligence and human–machine interaction. However, dual-modal sensor with …
artificial intelligence and human–machine interaction. However, dual-modal sensor with …
Deep learning model for real-time prediction of intradialytic hypotension
Results The recurrent neural network model for predicting intradialytic hypotension 1
achieved an area under the receiver operating characteristic curve of 0.94 (95% confidence …
achieved an area under the receiver operating characteristic curve of 0.94 (95% confidence …
Microwave radar sensing systems for search and rescue purposes
This paper presents a survey of recent developments using Doppler radar sensor in
searching and locating an alive person under debris or behind a wall. Locating a human …
searching and locating an alive person under debris or behind a wall. Locating a human …
Real-time prediction of intradialytic hypotension using machine learning and cloud computing infrastructure
H Zhang, LC Wang, S Chaudhuri… - Nephrology Dialysis …, 2023 - academic.oup.com
Background In maintenance hemodialysis patients, intradialytic hypotension (IDH) is a
frequent complication that has been associated with poor clinical outcomes. Prediction of …
frequent complication that has been associated with poor clinical outcomes. Prediction of …
Deep learning model for predicting intradialytic hypotension without privacy infringement: a retrospective two-center study
Objective Previously developed Intradialytic hypotension (IDH) prediction models utilize
clinical variables with potential privacy protection issues. We developed an IDH prediction …
clinical variables with potential privacy protection issues. We developed an IDH prediction …
Data analytics and applications of the wearable sensors in healthcare: an overview
M Uddin, S Syed-Abdul - Sensors, 2020 - mdpi.com
Improving health and lives of people is undoubtedly one of the prime goals of healthcare
organizations, policy-makers, and leaders around the world. The need of ageing, disability …
organizations, policy-makers, and leaders around the world. The need of ageing, disability …
Volume balance in chronic kidney disease: evaluation methodologies and innovation opportunities
E La Porta, L Lanino, M Calatroni… - Kidney and Blood …, 2021 - karger.com
Background: Patients affected by chronic kidney disease are at a risk of cardiovascular
morbidity and mortality. Body fluids unbalance is one of the main characteristics of this …
morbidity and mortality. Body fluids unbalance is one of the main characteristics of this …