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Personalized Urination Activity Recognition Based on a Recurrent Neural Network Using Smart Band
Taeg-Keun Whangbo1, Sung-Jong Eun2, Eun-Young Jung2
1Department of Computer Science, Gachon University, Seongnam, Korea.
International Neurourology Journal
|August 3, 2018
Summary
A smart band accurately detects urination time and intervals using a novel motion-sensing algorithm. This wearable technology offers a feasible method for managing voiding dysfunction, improving patient data collection.
Area of Science:
- Biomedical Engineering
- Urology
- Wearable Technology
Background:
- Accurate voiding pattern data is crucial for managing voiding dysfunction.
- Current methods like voiding diaries are often difficult and cumbersome for patients.
- There is a need for objective and user-friendly methods to collect urination data.
Purpose of the Study:
- To develop and validate a smart band-based algorithm for recognizing urination time and intervals.
- To assess the feasibility of using wearable motion-sensing technology for voiding dysfunction management.
- To resolve clinical debates regarding the efficacy of traditional voiding diaries.
Main Methods:
- A wrist-worn smart band captured motion and tilt angle data using a 3-axis accelerometer.
- A recurrent neural network and long short-term memory framework analyzed sequential motion patterns.
- An algorithm was devised to recognize the typical 3-step urination behavior (forward, voiding, backward).
Main Results:
- The developed algorithm achieved high accuracy (up to 94.2%) in detecting urination events.
- The study demonstrated the robustness of the proposed motion-recognition algorithm.
- A comparative analysis confirmed the device's effectiveness against real voiding events.
Conclusions:
- Urination behavior recognition technology using smart bands is highly accurate and clinically applicable.
- This method offers a new approach to characterizing patient voiding patterns.
- Wearable devices and advanced algorithms represent a future methodology for studying physiological behaviors.
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