Offline decoding of end-point forces using neural ensembles: Application to a brain machine interface

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 17, Issue 3, 2009, Pages 254-262

  Gupta, Rahul ^a   Ashe, James ^b,c  

^a MEDTRONIC INC   (United States)

^b VA MEDICAL CENTER   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Dynamic control; Force fields; Motor cortex; Neural prostheses

Indexed keywords

BRAIN MACHINE INTERFACE; CONTINUOUS VARIABLES; DECODING QUALITY; DYNAMIC CONTROL; DYNAMIC CONTROLS; END POINTS; FILTER METHOD; FORCE FIELDS; HIGH FIDELITY; LIMB MOVEMENTS; MOTOR CORTEX; MOTOR FUNCTION; NEURAL ACTIVITY; NEURAL ENSEMBLES; NEURAL PROSTHESES; NOVEL TASK; OFFLINE; PRECISE CONTROL; PROSTHETIC DEVICES;

AUTOMOBILE EXHIBITIONS; CONTROL THEORY; DECODING; MOTORS; POINT CONTACTS;

PROSTHETICS;

ANIMAL EXPERIMENT; ARTICLE; BRAIN MACHINE INTERFACE; COMPUTER INTERFACE; HAND; KINEMATICS; KINETICS; LEARNING; LIMB MOVEMENT; LINEAR REGRESSION ANALYSIS; MALE; MOTOR CORTEX; NONHUMAN; PRIORITY JOURNAL; PROSTHESIS; TASK PERFORMANCE;

ALGORITHMS; ANIMALS; BRAIN MAPPING; EVOKED POTENTIALS, MOTOR; MACACA MULATTA; MALE; MOTOR CORTEX; MUSCLE CONTRACTION; MUSCLE STRENGTH; MUSCLE, SKELETAL; STRESS, MECHANICAL; USER-COMPUTER INTERFACE;

EID: 67650828332     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2009.2023290     Document Type: Article

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