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1.
Rev. int. med. cienc. act. fis. deporte ; 24(95): 1-15, mar.-2024. graf, tab
Artículo en Inglés | IBECS | ID: ibc-ADZ-331

RESUMEN

In sports science, genetic testing has become a valuable tool for understanding the genetic foundations of athletic ability. This study investigates whether genetic testing may be used to customize training plans for French swimmers to optimize performance, reduce injury risk, and improve recovery. Coaches can determine genetic predispositions pertaining to muscle composition, metabolism, injury risk, and recovery capacity by analyzing the genetic profile of an athlete. With the use of this data, individualized training plans that target deficiencies, build on strengths and increase success rates in the pool may be created. The research was based on primary data analysis to determine whether the research used Smart PLS software and generated results, including descriptive statistics, and correlation coefficient analysis, which also explains the smart PLS Algorithm Model between them. Event specialization, dietary optimization, injury avoidance, recovery optimization, talent discovery, and long-term athlete development are some of the main uses of genetic testing. French swimming programscan acquire a competitive advantage and set up their athletes for success on the international scene by incorporating genetic information into coaching procedures. A discussion of the ethical issues surrounding the use of genetic data in sports is included, focusing on the value of informed consent and private rights. The overall research found the positive and significant role of genetic testing in tailoring training programs for French swimmers. Genetic testing has great potential to enhance training regimens and bring forth the hidden talent of French swimmers, solidifying France's standing as a dominant force in the world of competitive swimming. (AU)


Asunto(s)
Humanos , Deportes Acuáticos , Pruebas Genéticas , Atletas , Rendimiento Atlético , Heridas y Lesiones , Francia
2.
Comput Biol Med ; 37(6): 774-84, 2007 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-17052704

RESUMEN

We present a Bond Graph model and simulation of the cardiac dynamics of the left ventricle (LV). It models all the levels from the mechanisms of contraction up to the hemodynamics of the LV. We validate our model by presenting several case studies. The goal is to build a model with a strong physiological basis that may be understood in physical terms but, in contrast with other existing models, may be simulated sufficiently fast to use it as a teaching tool in cardiovascular physiology and allow its integration as a boundary condition in more sophisticated 3D finite-element models.


Asunto(s)
Simulación por Computador , Modelos Cardiovasculares , Función Ventricular Izquierda , Animales , Fenómenos Biomecánicos , Adaptabilidad , Perros , Educación Médica , Ventrículos Cardíacos/anatomía & histología , Técnicas In Vitro , Contracción Miocárdica , Función Ventricular
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