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Related Experiment Video

Updated: May 7, 2026

Cystometric and External Urethral Sphincter Measurements in Awake Rats with Implanted Catheter and Electrodes Allowing for Repeated Measurements

Cystometric and External Urethral Sphincter Measurements in Awake Rats with Implanted Catheter and Electrodes Allowing for Repeated Measurements

Published on: January 30, 2018

Can an algorithm predict a voiding contraction in unconscious rats?

F Clavica, M S Choudhary, E van Asselt

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|October 11, 2013

Summary

This summary is machine-generated.

Researchers developed an algorithm to predict urinary incontinence by analyzing bladder pressure changes. This early warning system shows promise for improving quality of life for overactive bladder patients.

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Area of Science:

Biomedical Engineering
Urology
Physiology

Background:

Urinary incontinence (UI) is a prevalent condition impacting quality of life.
Overactive bladder (OAB) is a primary cause of urge incontinence, lacking definitive treatments.
Improved patient quality of life is a key focus for OAB management.

Purpose of the Study:

To develop and test an algorithm for early detection of voiding contractions.
To identify predictive changes in intravesical pressure preceding OAB episodes.
To create a device for alerting patients to impending incontinence events.

Main Methods:

Developed a frequency analysis algorithm for intravesical pressure (p(ves)) recordings.
Utilized saline and acetic acid bladder fillings in rat models of OAB.
Algorithm designed to detect increased amplitude spectrum in the 0.2-0.6 Hz range.

Main Results:

The algorithm successfully provided alarms within 50 seconds before voiding in preliminary tests.
Five rats were tested, with one achieving 100% successful alarms.
One rat showed less than 50% success, indicating variability in algorithm performance.

Conclusions:

The developed algorithm shows encouraging preliminary results for predicting voiding contractions.
Early detection of OAB events via p(ves) analysis is feasible.
Future work should focus on optimizing algorithm parameters for individual rats.