Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation

Journal of Neural Engineering

Volumn 13, Issue 2, 2016, Pages

  Negro, Francesco ^a   Muceli, Silvia ^a   Castronovo, Anna Margherita ^a   Holobar, Ales ^b   Farina, Dario ^a  

^a BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

^b UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

blind source separation; decomposition; EMG; motor neuron; motor unit

Indexed keywords

BLIND SOURCE SEPARATION; DECOMPOSITION; ELECTRIC DISCHARGES; ELECTRODES; ELECTROPHYSIOLOGY; ITERATIVE METHODS; MUSCLE; NEURONS;

CONVOLUTIVE BLIND SOURCE SEPARATION; DECOMPOSITION ALGORITHM; ELECTRICAL ACTIVITIES; HIGH-DENSITY SURFACE EMG; ITERATIVE EXTRACTION; MOTOR NEURONS; MOTOR UNIT; MOTOR UNIT ACTION POTENTIALS;

SIGNAL PROCESSING;

ACTION POTENTIAL; ALGORITHM; ARTICLE; CONVOLUTIVE BLIND SEPARATION MODEL; DECOMPOSITION; ELECTROMYOGRAM; FORCE; GOLD STANDARD; HUMAN; HUMAN TISSUE; INTRAMUSCULAR ELECTROMYOGRAM; MEASUREMENT ACCURACY; MOTONEURON; MOTOR UNIT POTENTIAL; MUSCLE; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; SURFACE ELECTROMYOGRAM; ADULT; DEVICES; ELECTROMYOGRAPHY; MALE; MUSCLE CONTRACTION; PHYSIOLOGY; PROCEDURES; SKELETAL MUSCLE;

ACTION POTENTIALS; ADULT; ALGORITHMS; ELECTROMYOGRAPHY; HUMANS; MALE; MUSCLE CONTRACTION; MUSCLE, SKELETAL;

EID: 84963812040     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/13/2/026027     Document Type: Article

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