Literature DB >> 9862536

Bladder volume measurement with electrical impedance analysis in spinal cord-injured patients.

C T Kim1, T A Linsenmeyer, H Kim, H Yoon.   

Abstract

The purpose of the study contained herein was to determine the usefulness of electrical impedance for measurement of bladder volume in spinal cord-injured patients, with an assessment of the relationship between electrical impedance and bladder volume exclusively. The study was performed during urodynamic studies to match the exact bladder volume. Thirteen patients with complete spinal cord injuries were recruited. We used silver-silver chloride compound electrodes composed of one pair of current and amplitude electrodes to minimize the influence of superficial skin impedance. Each compound electrode was attached on the lower abdomen bilaterally after skin cleansing. Constant current (60 kHz-1.0 mA), converted from 9 V of direct current, was applied, and corresponding electrical impedance (omega) was measured at "pre" (before urodynamic empty bladder), "full" (with a urodynamic filled bladder), and "post" (after urodynamic empty bladder) status. Electrical impedance at the full status was definitely lower than that at the pre and post statuses in all subjects, with a statistically significant difference (P < 0. 001). The correlation between electrical impedance and bladder volume was negative (r = -0.7988), and the fact of how much the variation in electrical impedance could be explained by variation in bladder volume was estimated (r2 = 0.6381). From these findings, we have determined that the electrical impedance analysis technique can be an alternative measure of bladder volume indirectly.

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Mesh:

Year:  1998        PMID: 9862536     DOI: 10.1097/00002060-199811000-00009

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  3 in total

1.  Design and evaluation of an ultrasound-based bladder volume monitor.

Authors:  N K Kristiansen; J C Djurhuus; H Nygaard
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

2.  Supervised Learning Classifiers for Electrical Impedance-based Bladder State Detection.

Authors:  Eoghan Dunne; Adam Santorelli; Brian McGinley; Geraldine Leader; Martin O'Halloran; Emily Porter
Journal:  Sci Rep       Date:  2018-03-29       Impact factor: 4.379

3.  Evaluation of electrical impedance tomography for determination of urinary bladder volume: comparison with standard ultrasound methods in healthy volunteers.

Authors:  Dorothea Leonhäuser; Carlos Castelar; Thomas Schlebusch; Martin Rohm; Rüdiger Rupp; Steffen Leonhardt; Marian Walter; Joachim O Grosse
Journal:  Biomed Eng Online       Date:  2018-07-13       Impact factor: 2.819

  3 in total

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