Toward the development of a neural interface for lower limb prosthesis control.
Lower limb amputees form a large portion of the amputee population; however, current lower limb prostheses do not meet the needs of patients with high-level amputations who need to perform multi-joint coordinated movements. A critical missing element is an intuitive neural interface from which user intent can be determined. Surface EMG has been used as control source for upper limb prostheses for many years; for lower limb activities, however, the EMG is non-stationary and a new control strategy is required. This paper describes the work completed to date in developing a novel lower limb neural interface.
Hargrove
L J
LJ
Neural Engineering Center for Artificial Limbs, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA. lhargrove@northwestern.edu
Huang
H
H
Schultz
A E
AE
Lock
B A
BA
Lipschutz
R
R
Kuiken
T A
TA
D000671:Amputation, Surgical / Q000534:rehabilitation*; D001186:Artificial Limbs; D004576:Electromyography; D005269:Femur / Q000601:surgery; D005684:Gait / Q000502:physiology*; D006801:Humans; D007719:Knee Joint / Q000502:physiology / Q000503:physiopathology; D007866:Leg / Q000601:surgery*; D009043:Motor Activity; D009068:Movement; D019919:Prosthesis Implantation / Q000379:methods*; D012016:Reference Values; D016138:Walking