Next Article in Journal
Quaternion DMP with Controllable Final Angular Velocity for Robot Skill Generalization
Previous Article in Journal
TinySLFL: A Flash-Endurance-Aware Federated Edge Learning Framework with Layer-Wise Delayed Aggregation for Resource-Constrained Microcontrollers
Previous Article in Special Issue
Additive Manufacturing for Electronics (AME): Prototyping High Surface Area Substrates to Improve Thermal Performance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Feasibility Study of Noninvasive Subcutaneous Imaging for Vein Localization

1
Department of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX 75205, USA
2
Department of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA
*
Author to whom correspondence should be addressed.
Electronics 2026, 15(10), 2082; https://doi.org/10.3390/electronics15102082
Submission received: 14 April 2026 / Revised: 6 May 2026 / Accepted: 11 May 2026 / Published: 13 May 2026

Abstract

This work presents a noninvasive imaging method to locate veins using a tuned microwave loop resonator. It offers a low-cost, fast, and effective solution to the challenges in venipuncture. The sensor features a loop resonator with a 5.2 mm radius, incorporating a self-tuning mechanism, and operates at 2.408 GHz with a reflection coefficient of −48.77 dB. It generates localized high-intensity electric fields that penetrate tissues to sufficient depths, enabling the detection of veins based on shifts in resonant frequencies that are induced by the varied dielectric properties of blood vessels. Two-dimensional raster scan simulations of the cephalic and median cubital veins yielded a ∼25 MHz downward resonant-frequency shift between vein and non-vein positions, with the median cubital vein still detectable at depths up to 6 mm. To quantify generalization to real tissues, a decision tree classifier trained on 63 simulation samples and evaluated on 335 in vivo measurements achieved 82.09% classification accuracy (sensitivity 81.25%, specificity 83.02%), demonstrating that the simulation-derived frequency contrast transfers reliably to experimental data despite inter-subject tissue variability. Extensive tests conducted demonstrate the sensor’s effectiveness, producing consistent and distinguishable frequency shifts when the sensor moves on the skin across veins. This technology holds significant promise for improving venipuncture accuracy, minimizing complications, and enhancing patient comfort.
Keywords: vein finder; noninvasive; impedance matching; electromagnetic wave; RF sensor; wearable devices vein finder; noninvasive; impedance matching; electromagnetic wave; RF sensor; wearable devices

Share and Cite

MDPI and ACS Style

Bing, S.; Huang, M.-H.; Cao, H.; Chiao, J.-C. Feasibility Study of Noninvasive Subcutaneous Imaging for Vein Localization. Electronics 2026, 15, 2082. https://doi.org/10.3390/electronics15102082

AMA Style

Bing S, Huang M-H, Cao H, Chiao J-C. Feasibility Study of Noninvasive Subcutaneous Imaging for Vein Localization. Electronics. 2026; 15(10):2082. https://doi.org/10.3390/electronics15102082

Chicago/Turabian Style

Bing, Sen, Mao-Hsiang Huang, Hung Cao, and J.-C. Chiao. 2026. "Feasibility Study of Noninvasive Subcutaneous Imaging for Vein Localization" Electronics 15, no. 10: 2082. https://doi.org/10.3390/electronics15102082

APA Style

Bing, S., Huang, M.-H., Cao, H., & Chiao, J.-C. (2026). Feasibility Study of Noninvasive Subcutaneous Imaging for Vein Localization. Electronics, 15(10), 2082. https://doi.org/10.3390/electronics15102082

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop