A non-invasive wearable microwave sensor for Alzheimer's Stage differentiation using realistic 3D human head phantoms
This study presents an advanced, safe, low-cost, and non-invasive sensor system for the early detection and monitoring of Alzheimer's disease, making it a promising complementary tool to conventional methods such as magnetic resonance imaging (MRI), computed tomography (CT), and positron emissi...
Saved in:
| Main Authors: | Jinan N. Shehab, Malik Jasim Farhan, Saad Al-Azawi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025024211 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recent Advances in Liquid Metal-Based Stretchable and Conductive Composites for Wearable Sensor Applications
by: Boo Young Kim, et al.
Published: (2025-07-01) -
Detection of Phantom Reads in Hyperledger Fabric
by: Luca Olivieri, et al.
Published: (2024-01-01) -
Early Detection of Alzheimer’s Disease via Machine Learning-Based Microwave Sensing: An Experimental Validation
by: Leonardo Cardinali, et al.
Published: (2025-04-01) -
Recent advances of additively manufactured noninvasive kinematic biosensors
by: Jeonghoon Lee, et al.
Published: (2023-11-01) -
Corrigendum: Recent advances of additively manufactured noninvasive kinematic biosensors
by: Jeonghoon Lee, et al.
Published: (2025-02-01)