Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Optimization-based models of muscle coordination.

Literature DB >> 11800497

Optimization-based models of muscle coordination.

Boris I Prilutsky¹, Vladimir M Zatsiorsky.

Abstract

Optimization-based models may provide reasonably accurate estimates of activation and force patterns of individual muscles in selected well-learned tasks with submaximal efforts. Such optimization criteria as minimum energy expenditure, minimum muscle fatigue, and minimum sense of effort seem most promising.

Entities: Disease

Mesh：

Year: 2002 PMID： 11800497 PMCID： PMC2821033 DOI： 10.1097/00003677-200201000-00007

Source DB: PubMed Journal: Exerc Sport Sci Rev ISSN： 0091-6331 Impact factor: 6.230

10 in total

1. Energy-minimizing choices of muscles and patterns of movement.

Authors: R M Alexander
Journal: Motor Control Date: 2000-01 Impact factor: 1.422

Review 2. Coordination of two- and one-joint muscles: functional consequences and implications for motor control.

Authors: B I Prilutsky
Journal: Motor Control Date: 2000-01 Impact factor: 1.422

3. Muscle recruitment by the min/max criterion -- a comparative numerical study.

Authors: J Rasmussen; M Damsgaard; M Voigt
Journal: J Biomech Date: 2001-03 Impact factor: 2.712

4. Static and dynamic optimization solutions for gait are practically equivalent.

Authors: F C Anderson; M G Pandy
Journal: J Biomech Date: 2001-02 Impact factor: 2.712

5. Analysis of muscle coordination strategies in cycling.

Authors: B I Prilutsky; R J Gregory
Journal: IEEE Trans Rehabil Eng Date: 2000-09

6. Coordinated force production in multi-finger tasks: finger interaction and neural network modeling.

Authors: V M Zatsiorsky; Z M Li; M L Latash
Journal: Biol Cybern Date: 1998-08 Impact factor: 2.086

7. Forces of individual cat ankle extensor muscles during locomotion predicted using static optimization.

Authors: B I Prilutsky; W Herzog; T L Allinger
Journal: J Biomech Date: 1997-10 Impact factor: 2.712

8. Determination of muscle and joint forces: a new technique to solve the indeterminate problem.

Authors: K N An; B M Kwak; E Y Chao; B F Morrey
Journal: J Biomech Eng Date: 1984-11 Impact factor: 2.097

9. Muscular synergism--II. A minimum-fatigue criterion for load sharing between synergistic muscles.

Authors: J Dul; G E Johnson; R Shiavi; M A Townsend
Journal: J Biomech Date: 1984 Impact factor: 2.712

10. A physiologically based criterion of muscle force prediction in locomotion.

Authors: R D Crowninshield; R A Brand
Journal: J Biomech Date: 1981 Impact factor: 2.712

10 in total

65 in total

10. An analytical approach to the problem of inverse optimization with additive objective functions: an application to human prehension.

Authors: Alexander V Terekhov; Yakov B Pesin; Xun Niu; Mark L Latash; Vladimir M Zatsiorsky
Journal: J Math Biol Date: 2009-11-10 Impact factor: 2.259

Optimization-based models of muscle coordination.

1. Energy-minimizing choices of muscles and patterns of movement.

Review 2. Coordination of two- and one-joint muscles: functional consequences and implications for motor control.

3. Muscle recruitment by the min/max criterion -- a comparative numerical study.

4. Static and dynamic optimization solutions for gait are practically equivalent.

5. Analysis of muscle coordination strategies in cycling.

6. Coordinated force production in multi-finger tasks: finger interaction and neural network modeling.

7. Forces of individual cat ankle extensor muscles during locomotion predicted using static optimization.

8. Determination of muscle and joint forces: a new technique to solve the indeterminate problem.

9. Muscular synergism--II. A minimum-fatigue criterion for load sharing between synergistic muscles.

10. A physiologically based criterion of muscle force prediction in locomotion.

1. Force and torque production in static multifinger prehension: biomechanics and control. II. Control.

2. Prehension synergies: trial-to-trial variability and hierarchical organization of stable performance.

3. Directional constraint of endpoint force emerges from hindlimb anatomy.

4. Optimality vs. variability: an example of multi-finger redundant tasks.

5. Emerging and disappearing synergies in a hierarchically controlled system.

Review 6. Constraints on the complete optimization of human motion.

7. Contrasting effects of fatigue on multifinger coordination in young and older adults.

8. Invariant geometric characteristics of spatial arm motion.

9. Organization of the upper limb movement for piano key-depression differs between expert pianists and novice players.

10. An analytical approach to the problem of inverse optimization with additive objective functions: an application to human prehension.