Advancements and artificial intelligence approaches in antennas for environmental sensing

A Lalbakhsh, RBVB Simorangkir… - Artificial Intelligence and …, 2022 - Elsevier
Environmental sensors have come a long way over the last decade, surged in variety and
capabilities. Such growth was impossible without developing wireless technologies …

Wireless Technologies in Flexible and Wearable Sensing: from Materials Design, System Integration to Applications

L Kong, W Li, T Zhang, H Ma, Y Cao, K Wang… - Advanced …, 2024 - Wiley Online Library
Wireless and wearable sensors attract considerable interest in personalized healthcare by
providing a unique approach for remote, noncontact, and continuous monitoring of various …

Classification of Alzheimer's disease using RF signals and machine learning

IM Saied, T Arslan, S Chandran - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Objectives: Alzheimer's disease is one of the most fastest growing and costly diseases in the
world today. It affects the livelihood of not just patients, but those who take care of them …

An Ultra-Miniaturized High Efficiency Implanted Spiral Antenna for Leadless Cardiac Pacemakers

M Ramzan, A Khaleghi, X Fang, Q Wang… - … Circuits and Systems, 2023 - ieeexplore.ieee.org
This article presents an ultra-miniaturized implant antenna with a volume of 22.22 mm in the
Medical Implant Communication Service (MICS) frequency band 402-405 MHz to be …

Non-invasive RF technique for detecting different stages of Alzheimer's disease and imaging beta-amyloid plaques and tau tangles in the brain

I Saied, T Arslan, S Chandran, C Smith… - … on Medical Imaging, 2020 - ieeexplore.ieee.org
This paper describes a novel approach of detecting different stages of Alzheimer's disease
(AD) and imaging beta-amyloid plaques and tau tangles in the brain using RF sensors …

Application of spatial filtering high order FDTD method in the multi-physics field coupled equations

G Xie, P Pan, N Feng, K Xu, M Fang, X Wu, Y Li… - Computer Physics …, 2024 - Elsevier
The traditional finite-difference time-domain method (FDTD (2, 2)) is widely employed to
solve the coupled equations of quantum-electromagnetic multi-physics. However, the time …

A numerical study of lossy multipole Debye dispersive media using a recursive integral-FDTD method

G Xie, M Fang, Z Huang, X Wu, X Ren… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A dispersive finite-difference time-domain (FDTD) method based on the recursive integration
(RI) technique for the modeling of the lossy multipole Debye dispersive media is described …

Big Data-Machine learning processing of recorded radiofrequency physiological and pathological measurements to predict the progression of Alzheimer's disease

R Ullah, I Saied, T Arslan - 2021 IEEE Asia-Pacific Microwave …, 2021 - ieeexplore.ieee.org
Alzheimer's disease is expected to be the largest growing disease around the world with the
increase in the ageing population. It affects the livelihood of not just patients, but those who …

A microwave sensing system enhanced by a machine learning algorithm for alzheimer's disease early detection

L Cardinali, M Spano, M Gugliermino… - … IEEE Conference on …, 2023 - ieeexplore.ieee.org
Diagnostic techniques able to detect Alzheimer's disease in its early stage are costly,
invasive, and lack portability. Early detection is fundamental to give patients the best …

Wireless Insights into Cognitive Wellness: A Paradigm Shift in Alzheimer's Detection through Ultrathin Wearable Antennas

F Taher, M Alathbah, T Alghamdi, MFA Sree… - IEEE …, 2024 - ieeexplore.ieee.org
The Proposed algorithm, designed to simulate an Alzheimer's disease (AD) brain model
across different stages, presents an invaluable opportunity for further research and in-depth …