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Updated: Jul 31, 2025

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Detrusor Underactivity Model in Rats by Conus Medullaris Transection
Published on: August 28, 2020
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Automated closed-loop stimulation to inhibit neurogenic bladder overactivity.
Steve Majerus1,2,3, Carvell Nguyen4, Steven Brose5,6
1Advanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA.
Summary
A new algorithm automatically detects bladder contractions in individuals with spinal cord injury (SCI) and triggers genital nerve stimulation (GNS) to inhibit them, showing feasibility for closed-loop bladder control.
Area of Science:
- Neurology
- Urology
- Biomedical Engineering
Background:
- Spinal cord injury (SCI) frequently leads to neurogenic detrusor overactivity (NDO), causing bladder dysfunction, urgency, incontinence, and diminished quality of life.
- Genital nerve stimulation (GNS) is a known method to suppress involuntary bladder contractions in SCI patients.
- Current GNS approaches lack automation, necessitating the development of closed-loop systems for improved efficacy and patient experience.
Purpose of the Study:
- To evaluate the feasibility of an automated closed-loop system for GNS, utilizing a custom algorithm to detect and inhibit bladder contractions in real-time.
- To assess the system's ability to identify bladder contractions using only bladder pressure data, without requiring abdominal pressure measurements.
Main Methods:
- A pilot study involving four participants with SCI and NDO was conducted in a urodynamics laboratory.
- A custom algorithm monitored bladder pressure to detect contractions and automatically triggered GNS.
- Participants underwent standard cystometrograms with and without the closed-loop GNS system.
Main Results:
- The custom algorithm successfully detected bladder contractions in real-time, inhibiting 56 contractions across all subjects.
- The system demonstrated a detection and stimulation trigger time of approximately 4.0 ± 2.6 seconds.
- Automated closed-loop GNS was well-tolerated, with participants reporting alignment between algorithm actions and their perceived bladder activity.
Conclusions:
- The developed custom algorithm is feasible for automated closed-loop neuromodulation, effectively identifying bladder contractions and triggering GNS for acute inhibition.
- This pilot study demonstrates the potential of automated closed-loop GNS as a viable approach for managing NDO in SCI.
- Further research and refinement are necessary to optimize this system for potential home-use applications.
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