Decoding bladder state from pudendal intraneural signals in pigs

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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• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch
• Notes: APL bioengineering. - 7, 4 (2023) , 046101, ISSN: 2473-2877

Contributors, Places and Time

• Event: Veröffentlichung
• (where): Freiburg
• (who): Universität
• (when): 2024
• Creator: Giannotti, Alice ; Lo Vecchio, Sara ; Musco, Stefania ; Pollina, Leonardo ; Vallone, Fabio ; Strauss, Ivo ; Paggi, Valentina ; Bernini, Fabio ; Gabisonia, Khatia ; Carlucci, Lucia ; Lenzi, C. ; Pirone, Andrea ; Giannessi, Elisabetta ; Miragliotta, Vincenzo ; Lacour, Stéphanie ; Del Popolo, Giulio ; Moccia, Sara ; Micera, Silvestro

Further information

• DOI: 10.1063/5.0156484
• URN: urn:nbn:de:bsz:25-freidok-2543503
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.