Abstract
A paresthesia-centric closed-loop spinal cord stimulation (SCS) system described recently uses evoked compound action potentials (ECAPs) as a control signal to compensate for spinal cord movement [1]. While ECAP-based SCS has demonstrated clinical efficacy, significant knowledge gaps remain about how the main control variable (i.e., ECAP amplitude) and other metrics (e.g., ECAP threshold (ET), ECAP growth rate) vary across subjects, postures, and pulse widths. These knowledge gaps may complicate the appropriate application of ECAP-controlled, closed-loop SCS. Therefore, in this study, we utilized a combined experimental and computational modeling approach to answer these questions.
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