Diseño de un sistema de prevención del síndrome de túnel carpiano implementando redes neuronales artificiales

Abstract

In the present master's work with a line of research in bioengineering, the design of an electronic prevention system using artificial neural networks is presented in order to prevent carpal tunnel syndrome, taking into account various parameters such as the pressure and movement exerted In the dominant hand, which will be observed in the resistance variation by means of a piezoelectric element called velostat, other variables to take into account are the amplitude of the signal and the speed of conduction, which will be measured by means of a bracelet. which will be connected with a simple mobile application through bluetooth, the app will notify the user when it is time to change the activity or take a short break, in addition some questions of vital importance to the user will be taken into account in order to generate a database that feeds an artificial neural network, which will be in charge of analyzing the probability that the user may suffer from carpal tunnel syndrome, in order to generate a correct alert and in this way the risk of suffering from this condition can be decreased, it is important to highlight that the design will have a primary focus in the present literature and not in data collection. a general population, due to the pandemic currently experienced. The proposed electronic system will have robust information that will be acquired by means of the different variables to be measured through an electronic bracelet and piezoelectric sensors that will be on different objects and will measure the electrical behavior of the hand, in addition to the design of a Simple survey that will be formulated for the different patients to be measured, which will cover the degree of pain, mobility and numbness of the hand by scales, when carrying out the different activities proposed with the prevention system that will be exposed in this document.