Continuous locomotion-mode identification for prosthetic legs based on neuromuscular - Mechanical fusion

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 10 PART 1, 2011, Pages 2867-2875

  Huang, He ^a   Zhang, Fan ^a   Hargrove, Levi J ^b   Dou, Zhi ^a   Rogers, Daniel R ^c   Englehart, Kevin B ^c  

^a University of Rhode Island   (United States)

^b REHABILITATION INSTITUTE OF CHICAGO   (United States)

^c UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Data fusion; electromyography (EMG); pattern recognition; prosthesis; surface electromyography

Indexed keywords

ELECTROMYOGRAPHIC SIGNAL; EMG SIGNAL; GROUND REACTION FORCES; LOCOMOTION MODE; MODE TRANSITIONS; NEURAL CONTROL; PATTERN CLASSIFIER; PROSTHESIS; PROSTHETIC LEG; STANCE PHASE; STATIC STATE; SUPPORT VECTOR MACHINE ALGORITHM; SURFACE ELECTROMYOGRAPHY; SWING PHASE;

ALGORITHMS; DATA FUSION; ELECTROMYOGRAPHY; PATTERN RECOGNITION; PHASE INTERFACES; SUPPORT VECTOR MACHINES;

PROSTHETICS;

ADULT; ALGORITHM; ARTICLE; CLINICAL ARTICLE; DISABLED PERSON; ELECTROMYOGRAPHY; FEMALE; FOOT; GAIT; HUMAN; LEG AMPUTATION; LEG MUSCLE; LEG PROSTHESIS; LOCOMOTION; MALE; NEUROMUSCULAR SYSTEM; PATTERN RECOGNITION; PRESSURE MEASUREMENT; SENSOR; SIGNAL PROCESSING; TASK PERFORMANCE; WALKING;

AMPUTEES; ARTIFICIAL LIMBS; ELECTROMYOGRAPHY; HUMANS; LOCOMOTION; MUSCLE, SKELETAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES; THIGH;

EID: 80053198627     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2161671     Document Type: Article

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