Cortical Decoding of Individual Finger Group Motions Using ReFIT Kalman Filter.

ABSTRACT: Objective: To date, many brain-machine interface (BMI) studies have developed decoding algorithms for neuroprostheses that provide users with precise control of upper arm reaches with some limited grasping capabilities. However, comparatively few have focused on quantifying the performance of precise finger control. Here we expand upon this work by investigating online control of individual finger groups. Approach: We have developed a novel training manipulandum for non-human primate (NHP) studies to isolate the movements of two specific finger groups: index and middle-ring-pinkie (MRP) fingers. We use this device in combination with the ReFIT (Recalibrated Feedback Intention-Trained) Kalman filter to decode the position of each finger group during a single degree of freedom

SUBMITTER: Vaskov AK 

PROVIDER: S-EPMC6231049 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature