Desarrollo de una plataforma robótica para estimulación cognitiva y física en niños con discapacidad

Abstract

The problem inherent to the intervention of animals in therapies is associated with the risks involved in this interaction and the low capacity to make a quantitative assessment. The approach given to this problem is carried out using a robotic platform divided into three systems, integrating elements for motor, cognitive and sensory rehabilitation: The first consists of the emulation of the head and neck of the animal; the second system is the base, which allows emulating movements of rotation and translation of the back of the horse in the three axes; finally the system of the seat that in its inferior part calculates the vector of force relating the distribution of the weight of the child, while in the superior part the emulation of the temperature is made that varies from 38 ºC to 42 ºC depending on the speed of work, additionally the articular angles of the cervical region were registered, the thoracic cage, lumbar and the hip; evaluating the patient's posture, also incorporating a set of lights that make it easier to observe to which side the resulting force vector is directed, allowing him to modify his posture and improve his proprioception. This document is a proof of concept that deals with the use of a robotic rehabilitation platform that aims to help patients with motor sensory and cognitive disabilities can access a treatment option different from traditional hypotherapy, generating results that provide benefits, and at the same time a recovery and implementation of work plans that generate welfare in the health of the patient. The proposed robotic platform emulates the great advantages granted by horses, and measures and data can be accessed in real time. The system comprises an interaction of commands for the user, so that he can develop new psychomotor skills and abilities. The data obtained can serve as indicators for the differential evaluation of each patient, as well as the possibility of monitoring variables such as: Temperature, acceleration, joint angles and weight.