1. Decoding bladder state from pudendal intraneural signals in pigs
- Author
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A. Giannotti, S. Lo Vecchio, S. Musco, L. Pollina, F. Vallone, I. Strauss, V. Paggi, F. Bernini, K. Gabisonia, L. Carlucci, C. Lenzi, A. Pirone, E. Giannessi, V. Miragliotta, S. Lacour, G. Del Popolo, S. Moccia, and S. Micera
- Subjects
Biotechnology ,TP248.13-248.65 ,Medical technology ,R855-855.5 - 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.
- Published
- 2023
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