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Ambulatory urodynamics monitoring system using personal digital assistance

  • Jeonbuk National University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

The conventional urodynamics monitoring study is performed by filling artificially the bladder with saline. However, it is difficult to evaluate the physiological functions of the storage and voiding of the bladder. In this study, we constructed an ambulatory urodynamics monitoring system and proposed a novel method for estimating abdominal pressure by bio-impedance changes and EMG activity. The system was evaluated in 10 patients. As the intensity of the abdomen contraction increased, the amplitude of bio-impedance signal and the RMS value of EMG increased as compared to those observed during resting. The correlation coefficient was 0.72 for the "weak" contraction, 0.96 for "strong" contraction, 0.90 for "stronger" contraction, 0.84 for "vigorous" contraction and 0.78 for "maximal" contraction. Also, daily events such as coughing, sneezing and talking, were sensitively monitored by observing the amplitude change of the bio-impedance signals. However, the EMG signals could not be used to detect these events, therefore, bio-impedance method is a more useful tool to measure the changes in the abdominal pressure non-invasively for urodynamic monitoring.

Original languageEnglish
Title of host publicationProceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
Pages122-125
Number of pages4
DOIs
StatePublished - 2008
Event2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008 - Busan, Korea, Republic of
Duration: 2008.04.242008.04.26

Publication series

NameProceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008

Conference

Conference2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
Country/TerritoryKorea, Republic of
CityBusan
Period08.04.2408.04.26

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

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