Automated calibration of somatosensory stimulation using reinforcement learning

BACKGROUND: The identification of the electrical stimulation parameters for neuromodulation is a subject-specific and time-consuming procedure that presently mostly relies on the expertise of the user (e.g., clinician, experimenter, bioengineer). Since the parameters of stimulation change over time...

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Detalles Bibliográficos
Autores principales: Borda, Luigi, Gozzi, Noemi, Preatoni, Greta, Valle, Giacomo, Raspopovic, Stanisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523674/
https://www.ncbi.nlm.nih.gov/pubmed/37752607
http://dx.doi.org/10.1186/s12984-023-01246-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523674/
https://www.ncbi.nlm.nih.gov/pubmed/37752607
http://dx.doi.org/10.1186/s12984-023-01246-0

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