Use of fuzzy logic in determining the intensity of aerobic exercise

• Autor(a) principal: Santos Júnior, Evaldo Tavares
• Data de Publicação: 2015
• Outros Autores: Santos, Tony Meireles, Mól, Antônio de Abreu
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: RECIIS (Online)
• Texto Completo: https://www.reciis.icict.fiocruz.br/index.php/reciis/article/view/941
• topic: Fuzzy logic; Artificial intelligence; Decision support techniques; Electronic prescription; Health informatics; Aerobic exercise; Prescription/exercise; Lógica difusa; Inteligencia artificial; Técnicas de apoyo para la decisión; Prescripción electrónica; Informática en la salud; Ejercicio aeróbico; Prescripción/ejercicio; Lógica fuzzy; Inteligência artificial; Técnicas de apoio para a decisão; Prescrição eletrônica; Informática em saúde; Exercício aeróbico; Prescrição/exercício

Since the prescribing guidelines of aerobic training are general, some authors have proposed models that provide an increase in the accuracy of the prescription. Fuzzy logic has been used to solve problems in the field of health and the use of this technique of artificial intelligence in exercise prescription could improve decision-making about the degree of intensity with which each individual must exercise himself.The objective of the present study is to propose a model for determining the intensity of aerobic exercise through a strategy of artificial intelligence (fuzzy logic). Fuzzy sets were shaped through five input variables having as output variable the intensity of the exercise. From these sets it was developed a matrix composed of 40 rules and subsequently these rules were included in the MATLAB software. The inference and the defuzzyfication were worked according to the methods of Mamdani and the center of area, respectively.The developed model is a refinement of those existing in the literature about the subject and proved to be a promising strategy giving support to the decision-making for the prescription of aerobic activities.