Design of a robust EMG sensing interface for pattern classification

Journal of Neural Engineering

Volumn 7, Issue 5, 2010, Pages

  Huang, He ^a   Zhang, Fan ^a   Sun, Yan L ^a   He, Haibo ^a  

^a University of Rhode Island   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL LEGS; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLINICAL VALUE; ELECTROMYOGRAPHIC; EMG PATTERN CLASSIFICATION; EMG SIGNAL; EMG-ELECTRODES; LEG MUSCLES; LOCOMOTION MODE; MACHINE INTERFACES; MOTOR DEFICITS; NEURAL CONTROL; PATTERN CLASSIFICATION; RECORDED SIGNALS; SELF-RECOVERY; SENSOR FAULT DETECTION; SENSOR INTERFACE; TRANSFEMORAL AMPUTATION;

ARTIFICIAL LIMBS; DESIGN; FAULT DETECTION; RECOVERY;

SENSORS;

ARTICLE; ELECTROMYOGRAPHY; FEMALE; HUMAN; LEG MUSCLE; LOCOMOTION; MALE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; ADULT; AGED; CLASSIFICATION; COMPARATIVE STUDY; EQUIPMENT DESIGN; INSTRUMENTATION; LIMB PROSTHESIS; METHODOLOGY; MIDDLE AGED; PHYSIOLOGY; SKELETAL MUSCLE;

ADULT; AGED; ARTIFICIAL LIMBS; ELECTROMYOGRAPHY; EQUIPMENT DESIGN; FEMALE; HUMANS; MALE; MIDDLE AGED; MUSCLE, SKELETAL;

EID: 78649312290     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/7/5/056005     Document Type: Article

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