Functional Electrical Stimulation and Brain-Machine Interfaces for Simultaneous Control of Wrist and Finger Flexion
Mender, M. J.; Ward, A. L.; Cubillos, L. H.; Kelberman, M. M.; Costello, J. T.; Temmar, H.; Wallace, D. M.; Lin, E. T.; Lam, J. L. W.; Willsey, M. S.; Ganesh Kumar, N.; Kung, T. A.; Patil, P. G.; Chestek, C. A.
Show abstract
Brain-machine interface (BMI) controlled functional electrical stimulation (FES) is a promising treatment to restore hand movements to people with cervical spinal cord injury. Recent intracortical BMIs have shown unprecedented successes in decoding user intentions, however the hand movements restored by FES have largely been limited to predetermined grasps. Restoring dexterous hand movements will require continuous control of many biomechanically linked degrees-of-freedom in the hand, such as wrist and finger flexion, that would form the basis of those movements. Here we investigate the ability to restore simultaneous wrist and finger flexion, which would enable grasping with a controlled hand posture and assist in manipulating objects once grasped. We demonstrate that intramuscular FES can enable monkeys with temporarily paralyzed hands to move their fingers and wrist across a functional range of motion, spanning an average 88.6 degrees at the metacarpophalangeal joint flexion and 71.3 degrees of wrist flexion, and intramuscular FES can control both joints simultaneously in a real-time task. Additionally, we demonstrate a monkey using an intracortical BMI to control the wrist and finger flexion in a virtual hand, both before and after the hand is temporarily paralyzed, even achieving success rates and acquisition times equivalent to able-bodied control with BMI control after temporary paralysis in two sessions. Together, this outlines a method using an artificial brain-to-body interface that could restore continuous wrist and finger movements after spinal cord injury. One Sentence SummaryWe show in non-human primates that intramuscular functional electrical stimulation can flex the wrist and fingers through a functional range of movement, can be controlled precisely, and that a brain-machine interface can determine command signals for intended finger and wrist flexion.
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