Literature DB >> 16035220

Urinary bladder volume tracking using a Kalman filter.

N K Kristiansen1, S O Sjöström, H Nygaard.   

Abstract

This study introduced the Kalman filter procedure for tracking urinary bladder filling from intermittent bladder volume measurements taken by an ultrasonic bladder volume monitor. The Kalman filter was based on a double integrator as a model for the bladder filling process between micturitions and included a procedure to reset the filter in the event of a micturition. The performance of the Kalman filter was evaluated experimentally using an ultrasonic bladder volume monitor on seven male urologic patients. During cystometry, saline was infused into the patient's bladder at a constant rate of 30 ml min(-1) until it was full, and the volume of the bladder was recorded every 30 s by the bladder volume monitor. The evaluation showed that the filter significantly improved the precision of the measured volumes in terms of mean absolute errorby 4.2 ml (95% confidence interval: 0.7-7.7 ml) (p = 0.025) without affecting the system accuracy, i.e. slope (p= 0.92) and intercept (p= 0.32). Finally, the micturition reset procedure was verified using simulated data.

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Year:  2005        PMID: 16035220     DOI: 10.1007/bf02345809

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  5 in total

1.  Real-time Kalman filter applied to biomechanical data for state estimation and numerical differentiation.

Authors:  A M Sabatini
Journal:  Med Biol Eng Comput       Date:  2003-01       Impact factor: 2.602

2.  Analysis of eye tracking movements using innovations generated by a Kalman filter.

Authors:  D Sauter; B J Martin; N Di Renzo; C Vomscheid
Journal:  Med Biol Eng Comput       Date:  1991-01       Impact factor: 2.602

3.  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

4.  An approach to intelligent ischaemia monitoring.

Authors:  A Bosnjak; G Bevilacqua; G Passariello; F Mora; B Sansó; G Carrault
Journal:  Med Biol Eng Comput       Date:  1995-11       Impact factor: 2.602

5.  Study of cardiac arrhythmia using the Kalman filter.

Authors:  M S Woolfson
Journal:  Med Biol Eng Comput       Date:  1991-07       Impact factor: 2.602

  5 in total
  1 in total

1.  An extended Kalman filter for mouse tracking.

Authors:  Hongjun Choi; Mingi Kim; Onseok Lee
Journal:  Med Biol Eng Comput       Date:  2018-05-19       Impact factor: 2.602

  1 in total

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