Literature DB >> 9525038

A kinematic theory of rapid human movements: Part III. Kinetic outcomes.

R Plamondon1.   

Abstract

This paper describes the kinematic and kinetic properties of simple rapid movements using a single and unique framework based on a delta-lognormal law (Plamondon 1993a,b, 1995a,b). Predictions concerning isotonic measurements are made using the properties of acceleration profiles, as described by the first time derivative of the delta-lognormal law. Predictions dealing with isometric measurements are directly analyzed using the delta-lognormal law, after demonstrating the experimental equivalence between isometric forces and virtual velocity profiles. The theory is also used to make statistical predictions about the variability of numerous kinematic and kinetic variables. The overall approach can be viewed as if, at some level of representation, the central nervous system were planning, executing and evaluating simple rapid movements in terms of momentum and energy instead of forces. The unifying perspective provided by the theory constitutes a powerful tool with which to study and analyze movements under numerous experimental conditions, using a single analytical law.

Entities:  

Mesh:

Year:  1998        PMID: 9525038     DOI: 10.1007/s004220050420

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  9 in total

Review 1.  A brief review of strength and ballistic assessment methodologies in sport.

Authors:  Daniel Travis McMaster; Nicholas Gill; John Cronin; Michael McGuigan
Journal:  Sports Med       Date:  2014-05       Impact factor: 11.136

2.  The lognormal handwriter: learning, performing, and declining.

Authors:  Réjean Plamondon; Christian O'Reilly; Céline Rémi; Thérésa Duval
Journal:  Front Psychol       Date:  2013-12-19

3.  Modeling the lexical morphology of Western handwritten signatures.

Authors:  Moises Diaz-Cabrera; Miguel A Ferrer; Aythami Morales
Journal:  PLoS One       Date:  2015-04-10       Impact factor: 3.240

4.  Capturing the Cranio-Caudal Signature of a Turn with Inertial Measurement Systems: Methods, Parameters Robustness and Reliability.

Authors:  Karina Lebel; Hung Nguyen; Christian Duval; Réjean Plamondon; Patrick Boissy
Journal:  Front Bioeng Biotechnol       Date:  2017-08-23

5.  Central and Peripheral Shoulder Fatigue Pre-screening Using the Sigma-Lognormal Model: A Proof of Concept.

Authors:  Anaïs Laurent; Réjean Plamondon; Mickael Begon
Journal:  Front Hum Neurosci       Date:  2020-05-19       Impact factor: 3.169

6.  Sigma-Lognormal Modeling of Speech.

Authors:  C Carmona-Duarte; M A Ferrer; R Plamondon; A Gómez-Rodellar; P Gómez-Vilda
Journal:  Cognit Comput       Date:  2021-02-07       Impact factor: 5.418

7.  Reinforcement learning control of a biomechanical model of the upper extremity.

Authors:  Florian Fischer; Miroslav Bachinski; Markus Klar; Arthur Fleig; Jörg Müller
Journal:  Sci Rep       Date:  2021-07-14       Impact factor: 4.379

8.  Cluster-based exposure variation analysis.

Authors:  Afshin Samani; Svend Erik Mathiassen; Pascal Madeleine
Journal:  BMC Med Res Methodol       Date:  2013-04-04       Impact factor: 4.615

9.  A 12-Week Cycling Training Regimen Improves Upper Limb Functions in People With Parkinson's Disease.

Authors:  Alexandra Nadeau; Ovidiu Lungu; Arnaud Boré; Réjean Plamondon; Catherine Duchesne; Marie-Ève Robillard; Florian Bobeuf; Anne-Louise Lafontaine; Freja Gheysen; Louis Bherer; Julien Doyon
Journal:  Front Hum Neurosci       Date:  2018-09-11       Impact factor: 3.169

  9 in total

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