Real-time motor unit identification from high-density surface EMG

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 21, Issue 6, 2013, Pages 949-958

  Glaser, Vojko ^a   Holobar, Ales ^a   Zazula, Damjan ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

Discharge pattern; high density electromyograms (EMG); motor unit; real time decomposition; surface EMG

Indexed keywords

CONVOLUTION KERNEL COMPENSATION; DISCHARGE PATTERNS; HIGH-DENSITY ELECTROMYOGRAMS (EMG); LINEAR MINIMUM MEAN SQUARE ERROR(LMMSE); MOTOR UNIT; MOTOR UNIT ACTION POTENTIALS; REAL-TIME IMPLEMENTATIONS; SURFACE EMG;

BATCH DATA PROCESSING; ELECTROMYOGRAPHY; ELECTROPHYSIOLOGY; PERSONAL COMPUTERS; REAL TIME CONTROL;

ITERATIVE METHODS;

ACTION POTENTIAL; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER SYSTEM; ELECTROMYOGRAPHY; HUMAN; MALE; METHODOLOGY; MOTONEURON; MUSCLE ISOMETRIC CONTRACTION; NEUROMUSCULAR SYNAPSE; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ALGORITHMS; COMPUTER SYSTEMS; ELECTROMYOGRAPHY; HUMANS; ISOMETRIC CONTRACTION; MALE; MOTOR NEURONS; MUSCLE, SKELETAL; NEUROMUSCULAR JUNCTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SYNAPTIC TRANSMISSION;

EID: 84888111706     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2013.2247631     Document Type: Article

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