Modeling force-velocity relation in skeletal muscle isotonic contraction using an artificial neural network

BioSystems

Volumn 90, Issue 2, 2007, Pages 529-534

  Dariani, Sharareh ^a   Keshavarz, Mansoor ^a   Parviz, Mohsen ^a   Raoufy, Mohammad Reza ^b   Gharibzadeh, Shahriar ^c  

^a TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Force velocity relation; Hill model; Isotonic contraction

Indexed keywords

ARTIFICIAL NEURAL NETWORK; MORPHOMETRY; PHYSIOLOGY; SKELETAL REMAINS;

ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BEHAVIOR; CONTROLLED STUDY; ECCENTRIC MUSCLE CONTRACTION; EXPERIMENTAL MODEL; FORCE; FROG; GASTROCNEMIUS MUSCLE; HEART AFTERLOAD; HEART PRELOAD; MORPHOMETRICS; MUSCLE ISOTONIC CONTRACTION; MUSCLE LENGTH; MUSCLE MASS; MYOGRAPHY; NONHUMAN; PERCEPTRON; SKELETAL MUSCLE; TENDON; TRAINING; VELOCITY;

ANURA;

EID: 34548461523     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystems.2006.12.004     Document Type: Article

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