Hybrid neuromusculoskeletal modeling to best track joint moments using a balance between muscle excitations derived from electromyograms and optimization

Journal of Biomechanics

Volumn 47, Issue 15, 2014, Pages 3613-3621

  Sartori, Massimo ^a   Farina, Dario ^a   Lloyd, David G ^b,c  

^a UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

^b GRIFFITH UNIVERSITY   (Australia)

^c UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

EMG; Locomotion; Muscle excitation; Neuromusculoskeletal modeling; Static optimization

Indexed keywords

BIPED LOCOMOTION; DEGREES OF FREEDOM (MECHANICS); PHYSIOLOGICAL MODELS;

EXCITATION PATTERN; INFORMATION CONTENTS; MULTIPLE DEGREES OF FREEDOM; MUSCULOSKELETAL DYNAMICS; MUSCULOSKELETAL MODEL; NEURAL EXCITATIONS; NEUROMUSCULOSKELETAL MODELS; STATIC OPTIMIZATION;

MUSCLE;

ADULT; ARTICLE; BODY EQUILIBRIUM; ELECTROMYOGRAM; ELECTROMYOGRAPHY; HUMAN; HUMAN EXPERIMENT; MALE; MOVEMENT (PHYSIOLOGY); MUSCLE EXCITATION; MUSCULOSKELETAL FUNCTION; NORMAL HUMAN; PREDICTION; RUNNING; SIMULATION; WALKING; BIOLOGICAL MODEL; BIOMECHANICS; INNERVATION; JOINT; JOINT CHARACTERISTICS AND FUNCTIONS; PHYSIOLOGY; PROCEDURES; SKELETAL MUSCLE;

ADULT; BIOMECHANICAL PHENOMENA; ELECTROMYOGRAPHY; HUMANS; JOINTS; MALE; MODELS, BIOLOGICAL; MOVEMENT; MUSCLE, SKELETAL; RANGE OF MOTION, ARTICULAR; RUNNING; WALKING;

EID: 84910008013     PISSN: 00219290     EISSN: 18732380     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2014.10.009     Document Type: Article

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