ArticleAPL bioengineering2023
Decoding bladder state from pudendal intraneural signals in pigs.
Article in APL bioengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Animal models of spinal cord injury in neuro-urological research.Nature reviews. Urology · 2026Review
- A surgical and functional approach to the pelvic gross neuroanatomy of the female Yucatan minipig.Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft · 2025Article
- Biophysical characterization of the recording of unmyelinated and myelinated fiber activity with peripheral interfaces.iScience · 2025Article
- Characterization of a conductive hydrogel@Carbon fibers electrode as a novel intraneural interface.Bioelectronic medicine · 2024Article
- The Framework of Quantifying Biomarkers of OCT and OCTA Images in Retinal Diseases.Sensors (Basel, Switzerland) · 2024Article
- Guest Editorial: Implantable bioelectronics.APL bioengineering · 2024Article
- Swine Pudendal Nerve as a Model for Neuromodulation Studies to Restore Lower Urinary Tract Dysfunction.International journal of molecular sciences · 2024Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuroprosthetic devices used for the treatment of lower urinary tract dysfunction, such as incontinence or urinary retention, apply a pre-set continuous, open-loop stimulation paradigm, which can cause voiding dysfunctions due to neural adaptation. In the literature, conditional, closed-loop stimulation paradigms have been shown to increase bladder capacity and voiding efficacy compared to continuous stimulation. Current limitations to the implementation of the closed-loop stimulation paradigm include the lack of robust and real-time decoding strategies for the bladder fullness state. We recorded intraneural pudendal nerve signals in five anesthetized pigs. Three bladder-filling states, corresponding to empty, full, and micturition, were decoded using the Random Forest classifier. The decoding algorithm showed a mean balanced accuracy above 86.67% among the three classes for all five animals. Our approach could represent an important step toward the implementation of an adaptive real-time closed-loop stimulation protocol for pudendal nerve modulation, paving the way for the design of an assisted-as-needed neuroprosthesis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.