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Proceedings Paper

A wireless sensor for detecting gastroesophageal reflux
Author(s): Thermpon Ativanichayaphong; Wen-Ding Huang; Jianqun Wang; Smitha M. N. Rao; H. F. Tibbals; Shou-Jiang Tang; Stuart Spechler; Harry Stephanou; J.-C. Chiao
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Paper Abstract

In this paper, we propose a new method to detect gastroesophageal reflux wirelessly. Based on passive telemetry using inductive links, impedance of the refluxate can be determined. We have designed and fabricated planar coils integrated with electrodes on flexible substrates using standard photolithography processes. The device can be implanted in the esophagus using currently available clinical techniques. In vitro experiments were conducted by passing different acidic or non-acidic solutions onto the implanted electrodes and measuring the signal amplitudes with an external receiver. Air, drinking water and different concentrations of artificial stomach fluids were used to test the impedance sensor. System configuration, device designs, fabrication processes and measurement results will be presented in this paper.

Paper Details

Date Published: 14 December 2006
PDF: 8 pages
Proc. SPIE 6416, Biomedical Applications of Micro- and Nanoengineering III, 64160Z (14 December 2006); doi: 10.1117/12.695837
Show Author Affiliations
Thermpon Ativanichayaphong, Automation & Robotics Research Institute, The Univ. of Texas at Arlington (United States)
Wen-Ding Huang, Dept. of Electrical Engineering, The Univ. of Texas at Arlington (United States)
Jianqun Wang, Dept. of Electrical Engineering, The Univ. of Texas at Arlington (United States)
Smitha M. N. Rao, Automation & Robotics Research Institute, The Univ. of Texas at Arlington (United States)
H. F. Tibbals, Bioinstrumentation Resource Ctr., The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Shou-Jiang Tang, Dept. of Medicine, The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Stuart Spechler, Dept. of Medicine, The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Harry Stephanou, Automation & Robotics Research Institute, The Univ. of Texas at Arlington (United States)
J.-C. Chiao, Automation & Robotics Research Institute, The Univ. of Texas at Arlington (United States)
Dept. of Electrical Engineering, The Univ. of Texas at Arlington (United States)


Published in SPIE Proceedings Vol. 6416:
Biomedical Applications of Micro- and Nanoengineering III
Dan V. Nicolau, Editor(s)

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