Por favor, use este identificador para citar o enlazar este ítem: https://repositorio.cetys.mx/handle/60000/1058
Título : Multi-agent System for Obtaining Parameters in Concussions—MAS-OPC: An Integral Approach
Otros títulos : Agents and Multi-Agent Systems: Technologies and Applications 2020
Autor : Ramírez González, Gustavo
Alanis, Arnulfo
Alvelais Alarcón, Marina
Velázquez, Daniel
Márquez Bogart, Y.
Palabras clave : brain;Concussion;Multi-Agent System (MAS);Deep learning;Neuropsychological repercussions
Sede: Campus Tijuana
Fecha de publicación : may-2020
Citación : vol. 186;
Resumen : This article shows the analysis of the architecture of a Multi-Agent System (MAS) for data collection by impact. The concussion is the brain injury that occurs when an impact is received which generates physical damage and has important neuropsychological repercussions; the MAS will be implemented in a football helmet to know the damage caused by the impact to the head, which will allow us to determine if the athlete is in conditions to return to his sports commitment, and more over intend to prevent further damage.
metadata.dc.description.url: https://link.springer.com/chapter/10.1007%2F978-981-15-5764-4_24#citeas
URI : https://repositorio.cetys.mx/handle/60000/1058
ISSN : 978-981-15-5764-4
Aparece en las colecciones: Artículos de Revistas

Ficheros en este ítem:
No hay ficheros asociados a este ítem.


Este ítem está protegido por copyright original



Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons