Influence of the feature space on the estimation of hand grasping force from intramuscular EMG

Biomedical Signal Processing and Control

Volumn 8, Issue 1, 2013, Pages 1-5

  Kamavuako, Ernest Nlandu ^a   Rosenvang, Jakob Celander ^a   Bog, Mette Frydensbjerg ^a   Smidstrup, Anne ^a   Erkocevic, Ema ^a   Niemeier, Marko Jörg ^a   Jensen, Winnie ^a   Farina, Dario ^a,b  

^a AALBORG UNIVERSITY   (Denmark)

^b UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

Author keywords

Artificial neural network; EMG features; Grasping force; Hysteresis; Intramuscular EMG; Proportional control

Indexed keywords

HYSTERESIS; MUSCLE;

ARTIFICIAL NEURAL NETWORK MODELS; COEFFICIENT OF DETERMINATION; EMG FEATURES; GRASPING FORCE; INTRAMUSCULAR EMG; MAXIMUM VOLUNTARY CONTRACTION; ORDER POLYNOMIALS; PROPORTIONAL CONTROL;

NEURAL NETWORKS;

ADULT; ARTICLE; CORRELATION COEFFICIENT; ELECTROMYOGRAM; ELECTROMYOGRAPHY; FEMALE; FLEXOR MUSCLE; GRIP STRENGTH; HUMAN; HUMAN EXPERIMENT; MALE; MUSCLE ACTION POTENTIAL; NORMAL HUMAN; PREDICTIVE VALUE; PRIORITY JOURNAL;

EID: 84870416493     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2012.05.002     Document Type: Article

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