Numerical Analysis and Design of an EMF Birdcage Wearable Device for the Treatment of Alzheimer’s Disease: A Feasibility Study

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

Citations

"Numerical Analysis and Design of an EMF Birdcage Wearable Device for the Treatment of Alzheimer’s Disease: A Feasibility Study"
written by Felipe P. Perez, David Michael Arvidson, Tyler Phoenix Taylor, Maryam Rahmani, Maher Rizkalla,
published by Journal of Biomedical Science and Engineering, Vol.15 No.8, 2022

has been cited by the following article(s):

[1]	EDCNNS: Federated learning enabled evolutionary deep convolutional neural network for Alzheimer disease detection
	Applied Soft Computing, 2023

[1]	Neurostimulation devices to treat Alzheimer’s disease Exploration of Neuroscience, 2025 DOI:10.37349/en.2025.100674

[2]	A Novel Design of a Portable Birdcage via Meander Line Antenna (MLA) to Lower Beta Amyloid (Aβ) in Alzheimer’s Disease IEEE Journal of Translational Engineering in Health and Medicine, 2025 DOI:10.1109/JTEHM.2025.3559693

[3]	EDCNNS: Federated learning enabled evolutionary deep convolutional neural network for Alzheimer disease detection Applied Soft Computing, 2023 DOI:10.1016/j.asoc.2023.110804