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Development of Personalized Urination Recognition Technology Using Smart Bands.

Sung-Jong Eun1, Taeg-Keun Whangbo1, Dong Kyun Park2

  • 1Department of Computer Science, Gachon University, Seongnam, Korea.

International Neurourology Journal
|April 28, 2017
PubMed
Summary

This study developed a smart band algorithm to accurately detect urination using posture and motion data. The technology achieved 90.4% accuracy, offering a feasible alternative to traditional voiding charts.

Keywords:
Mobile Voiding ChartUrination Monitoring SystemUrination Recognition

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Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Urology

Background:

  • Traditional voiding charts are cumbersome and prone to inaccuracies.
  • There is a need for objective and continuous monitoring of urination activity.
  • Smart band technology offers a potential solution for unobtrusive patient monitoring.

Purpose of the Study:

  • To develop and validate a smart band-based algorithm for recognizing urination activity.
  • To explore the feasibility of a smart band system for urination monitoring.
  • To provide a more accurate and objective alternative to manual voiding charts.

Main Methods:

  • Collected motion and tilt angle data from smart bands worn by patients.
  • Developed a 3-stage algorithm (forward movement, urination, backward movement) using accelerometer and tilt data.
  • Employed feature extraction and classification techniques to detect urination events based on real-time data.

Main Results:

  • The developed algorithm demonstrated high accuracy in recognizing urination.
  • Achieved an average accuracy of 90.4% in experimental validation.
  • The algorithm proved robust and reliable for urination detection.

Conclusions:

  • Smart band-derived acceleration and tilt angle data can be effectively used for urination recognition.
  • The proposed technology offers a feasible and accurate method for urination monitoring.
  • This approach provides a significant advancement over traditional voiding chart methods.