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http://dx.doi.org/10.7471/ikeee.2019.23.1.164

Performance analysis of EIT bladder monitoring system according to input current patterns  

Han, You-Jung (Faculty of Applied Energy System, Major of Electronic Engineering, JeJu National University)
Khambampati, Anil Kumar (Faculty of Applied Energy System, Major of Electronic Engineering, JeJu National University)
Kim, Kyung-Youn (Faculty of Applied Energy System, Major of Electronic Engineering, JeJu National University)
Publication Information
Journal of IKEEE / v.23, no.1, 2019 , pp. 164-172 More about this Journal
Abstract
Current clinical methods for diagnosing urination disorder are invasive, expensive, and very inconvenient to perform continuous monitoring. EIT is a non-invasive technique that injects electrical current through an external electrodes and measures the induced voltage to visualize the internal electrical (impedance) characteristics, which makes it possible to monitor bladder conditions with low cost. The signal characteristics of the measured voltage data changes according to the current pattern injected through the electrode and affects reconstruction performance. In this paper, image reconstruction performance is compared and analyzed according to the injected current patterns to maximize the sensitivity to the variation of bladder size.
Keywords
electrical impedance tomography; bladder monitoring; bladder size; input current pattern; adjacent pattern; opposite pattern; trigonometric pattern; reference pattern;
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Times Cited By KSCI : 1  (Citation Analysis)
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