title: Probabilistic modeling of selective stimulation of the human sciatic nerve with a flat Interface Nerve Electrode.
abstract: Proper ankle control is critical to both standing balance and efficient walking. This study hypothesized that a Flat Interface Nerve Electrode (FINE) placed around the sciatic nerve with a fixed number of contacts at predetermined locations and without a priori knowledge of the nerve's underlying neuroanatomy can selectively control each ankle motion. Models of the human sciatic nerve surrounded by a FINE of varying size were created and used to calculate the probability of selective activation of axons within any arbitrarily designated group of fascicles. Simulations suggest that currently available implantable technology cannot selectively recruit each target plantar flexor individually but can restore plantar flexion or dorsiflexion from a site on the sciatic nerve without spillover to antagonists. Successful activation of individual ankle muscles in 90% of the population can be achieved by utilizing bipolar stimulation and/or by increasing the number of contacts within the cuff.
authors.affiliation: Department of Biomedical Engineering, Case Western Reserve University, USA. matthew.schiefer@case.edu
authors.forename: Matthew A
authors.initials: MA
authors.lastname: Schiefer
authors.forename: Dustin J
authors.initials: DJ
authors.lastname: Tyler
authors.forename: Ronald J
authors.initials: RJ
authors.lastname: Triolo
mesh_terms: D004558:Electric Stimulation; D004566:Electrodes; D020342:Finite Element Analysis; D006801:Humans; D008959:Models, Neurological; D011336:Probability; D012584:Sciatic Nerve / Q000502:physiology*