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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Urology

Background:

  • Sacral neuromodulation is effective for urinary incontinence and lower urinary tract symptoms in neurologic conditions.
  • Current methods lack real-time bodily data or patient input.
  • Developing a neuroprosthesis to improve bladder function is a key goal.

Purpose of the Study:

  • To explore the potential of closed-loop feedback systems for enhanced bladder function.
  • To review current targets and challenges in afferent nerve sensing for bladder management.

Main Methods:

  • Investigated conditional (closed-loop) feedback in animal models and human studies.
  • Examined various nerve targets (dorsal genital, pudendal, S3, S1/S2 ganglia) for stimulation and sensing.
  • Considered sophisticated nerve electrode arrays and filtering algorithms for event detection.

Main Results:

  • Demonstrated effectiveness of closed-loop feedback in preclinical and limited clinical settings.
  • Identified challenges in afferent nerve sensing, including sensor migration and low signal-to-noise ratios.
  • Noted issues with implantable pressure sensors like erosion and drift.

Conclusions:

  • An intelligent neuroprosthesis capable of sensing bladder events and providing on-demand stimulation is the future.
  • Advancements in technology are crucial for overcoming current sensing limitations.
  • Closed-loop systems hold promise for significantly enhancing neuroprosthetic bladder control.