Detection Capability Enhanced Biosensor Antenna for Portable Electromagnetic Stroke Diagnostic Systems | IEEE Journals & Magazine | IEEE Xplore

Detection Capability Enhanced Biosensor Antenna for Portable Electromagnetic Stroke Diagnostic Systems


Abstract:

Low-cost and portable electromagnetic (EM) stroke diagnostic systems are of great interest due to the increasing demand for early on-site detection or long-term bedside m...Show More

Abstract:

Low-cost and portable electromagnetic (EM) stroke diagnostic systems are of great interest due to the increasing demand for early on-site detection or long-term bedside monitoring of stroke patients. Biosensor antennas serve as crucial hardware components for EM diagnostic systems. This article presents a detect capability enhanced biosensor antenna with a planar and compact configuration for portable EM stroke detection systems, overcoming the problem of limited detection capability in existing designs for this application. The proposed antenna is developed based on multiple dipoles, exhibiting multi-mode resonances and complementary interaction. In the frequency domain, the simulated and measured results with the presence of head phantoms show that this compact planar antenna achieves improved performance in both impedance bandwidth and near-field radiation inside the head tissues, which all contribute to enhancing its stroke detection capability in radar-based EM diagnosis. An array of 12 elements is numerically and experimentally tested in a lab-setting EM stroke diagnostic system to validate the detection capability of the proposed antenna. The reconstructed 2-D images inside the head demonstrate successful detection of different stroke-affected areas, even as small as 3 mm in radius, significantly smaller than those of reported relevant works under the same validation setting, confirming the enhanced detection capability of the proposed antenna.
Published in: IEEE Transactions on Biomedical Circuits and Systems ( Volume: 18, Issue: 1, February 2024)
Page(s): 145 - 159
Date of Publication: 11 September 2023

ISSN Information:

PubMed ID: 37695957

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