Abstract:
Non-invasive monitoring of electrolyte levels offers significant advantages over traditional
blood-based tests, providing less discomfort and enabling continuous monitoring outside
clinical settings.This thesis explores the use of microstrip patch antennas (MPAs) for
non-invasive electrolyte sensing. It examines three MPA designs: a simple microstrip patch, a
spiral engraved sensor patch, and a patch antenna with T-shaped slots. These designs were
modeled and analyzed using COMSOL Multiphysics simulations to assess their performance
in detecting varying concentrations of sodium chloride (NaCl) in sweat. Key performance
metrics such as sensitivity, accuracy, and precision were evaluated based on the reflection
coefficient (S11 parameter). The results show that each antenna design has unique advantages
and limitations regarding sensitivity to electrolyte changes and practical integration into
wearable devices. Innovations in antenna design, such as the RFID-inspired spiral engraved
patch and T-slotted patch antennas, show promise in enhancing sensitivity and user comfort
for continuous health monitoring. Despite advancements, challenges like environmental
interference and the need for greater sensitivity to small biological changes remain. The study
shows that the T-slotted patch antenna with a barium titanate slab achieved top sensitivity,
precision, and accuracy for detecting NaCl levels in sweat, despite cost and safety concerns.
It had the highest accuracy (95.62%), while the spiral engraved sensor patch model excelled
in precision with a 0.0026 standard deviation and 7. 00 × 10 variance. The simple −6
microstrip patch antenna offers a cost-effective alternative with 95.51% accuracy. The study
highlights the ongoing need for innovative antenna designs to overcome these challenges,
ensuring that non-invasive electrolyte sensors can be effectively utilized in healthcare
monitoring. This research identifies optimal design parameters for MPAs to enhance
non-invasive electrolyte sensing, aiming to advance technology and improve integration into
next-generation medical devices.
Description:
Supervised by
Prof. Dr. Md. Taslim Reza,
Department of Electrical and Electronic Engineering (EEE)
Islamic University of Technology (IUT)
Board Bazar, Gazipur, Bangladesh
This thesis is submitted in partial fulfillment of the requirement for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2024