Analysis of measurement electrode location in bladder urine monitoring using electrical impedance View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Yaning Li, Yinglin Peng, Xin Yang, Shipei Lu, Jinwu Gao, Chengguang Lin, Rihui Li

ABSTRACT

PURPOSE: The aim of this study was to document more appropriate electrode location of a four-electrode-based electrical impedance technology in the monitoring of bladder filling, and to characterize the relationship between bladder filling duration and the measured electrical impedances. METHODS: A simulation study, based on a 2-dimension computational model, was conducted to determine the preferable locations of excitation and measurement electrodes in a conventional four-electrode setup. A human observation study was subsequently performed on eight healthy volunteers during natural bladder urine accumulation to validate the result of the simulation study. The correlation between the bladder filling time and the measured electrical impedance values was evaluated. RESULTS: The preferable location of measurement electrodes was successively validated by the model simulation study and human observation study. Result obtained via the selected electrodes location revealed a significant negative correlation (R = 0.916 ± 0.059, P < 0.001) between the measured electrical impedance and the urine accumulation time, which was consistent with the result of simulation study. CONCLUSIONS: The findings in this study not only documented the desirable electrodes location to monitor the process of bladder urine accumulation using four-electrode measurement, but also validated the feasibility of utilizing electrical impedance technique to monitor and estimate the bladder urine volume for those with urological disorders. More... »

PAGES

34

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12938-019-0651-4

DOI

http://dx.doi.org/10.1186/s12938-019-0651-4

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https://app.dimensions.ai/details/publication/pub.1112948654

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30902056


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