Neurophysiological markers predicting recovery of standing in humans with chronic motor complete spinal cord injury.

ABSTRACT: The appropriate selection of individual-specific spinal cord epidural stimulation (scES) parameters is crucial to re-enable independent standing with self-assistance for balance in individuals with chronic, motor complete spinal cord injury, which is a key achievement toward the recovery of functional mobility. To date, there are no available algorithms that contribute to the selection of scES parameters for facilitating standing in this population. Here, we introduce a novel framework for EMG data processing that implements spectral analysis by continuous wavelet transform and machine learning methods for characterizing epidural stimulation-promoted EMG activity resulting in independent standing. Analysis of standing data collected from eleven motor complete research participants revealed

SUBMITTER: Mesbah S 

PROVIDER: S-EPMC6785550 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature