| Autor: |
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, S. Micera |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
APL Bioengineering, Vol 7, Iss 4, Pp 046101-046101-12 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2473-2877 |
| DOI: |
10.1063/5.0156484 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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