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Optimum electrode selection to quantify abdominal pressure using bio-impedance method

  • Jeonbuk National University

Research output: Conference(x)Paperpeer-review

Abstract

In this study, we determined the optimum electrode pair to quantify abdominal pressure using bio-impedance method and compared with conventional methods by rectal catheter. Because impedance changes differ from a weight, a height, contractile force, volume of muscle and blood other or whatever of individuals, it was quantified using correlation coefficient, SNR and IER (impedance-to-EMG ratio) values. Our results showed that the optimum electrode pair was (1, 9) which could detect impedance changes due to daily events (cough, sneeze and conversation as well as diverse postures). It is the cause that this optimum electrode pair (1, 9) is synthetically reflected in physiological changes of various muscles (rectus abdominis, trasversus abdominis, external and internal oblique muscle) related to an abdomen contraction. The correlation coefficient between the abdominal pressure, measured using a rectal catheter, and the values, estimated using impedance method, was 0.77. However, correlation coefficient with values estimated using EMG method was 0.58, and it is remarkably lower than values using impedance method. Therefore, this result demonstrated that the abdominal pressure could be measured more correctly using impedance method than using EMG method. We demonstrated that this optimum electrode configuration would be useful for future studies involving the convenient measurement of abdominal pressure by ambulatory urodynamics monitoring.

Original languageEnglish
Pages563-568
Number of pages6
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI - Seoul, Korea, Republic of
Duration: 2008.08.202008.08.22

Conference

Conference2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI
Country/TerritoryKorea, Republic of
CitySeoul
Period08.08.2008.08.22

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

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