Search

A descriptive exploratory study was performed at the Universidad Europea with a sample of 22 professors of dentistry with a distinguished career in simulation. A community of practice was created for collaborative learning using the Simodont® Dental Trainer, a dental training simulator developed by Moog and the Academic Centre for Dentistry Amsterdam (ACTA) that combines haptic and virtual reality interfaces. A post-experimental questionnairewas administered to assess the performance of the Simondont® and to determine whether or not the professors would be willing to incorporate it into their curriculum. IBM SPSS Statistics V21.0 software was used for the data analysis and statistics of mean,standard deviation and correlation of the results. Tables were developed applying Kolmogorov-Smirnov and Kruskal-Wallis tests, and the established level of significance was 95%. The results indicated that the educational contributions of the Simodont® exceeded its technical features. An inverse relationship was described between the variables Age and Ease of use of the simulator. It became apparent that the use of state-of-the-art technology begins to decrease as teaching age increases. This indicated the need to train faculty in the use of the technology and in the introduction of innovative teaching methods to make the best use of the basic and additional opportunities the simulator offers. Sin financiación No data (2017) UEM

In this study, a device based on patient motion capture is developed for the reliable and non-invasive diagnosis of neurodegenerative diseases. The primary objective of this study is the classification of differential diagnosis between Parkinson's disease (PD) and essential tremor (ET). The DIMETER system has been used in the diagnoses of a significant number of patients at two medical centers in Spain. Research studies on classification have primarily focused on the use of well-known and reliable diagnosis criteria developed by qualified personnel. Here, we first present a literature review of the methods used to detect and evaluate tremor; then, we describe the DIMETER device in terms of the software and hardware used and the battery of tests developed to obtain the best diagnoses. All of the tests are classified and described in terms of the characteristics of the data obtained. A list of parameters obtained from the tests is provided, and the results obtained using multilayer perceptron (MLP) neural networks are presented and analyzed. © 2014 by the authors; licensee MDPI, Basel, Switzerland., Robocity 2030-II. Comunidad de Madrid. S-0505/DPI/00023

En cirugía de rodilla, ya sea artroscópica o abierta, se requiere una amplia curva de aprendizaje para garan­ tizar excelentes resultados. Durante años han sido muchos los procesos utilizados desde la observación hasta los medios de realidad virtual. Presentamos un informe preliminar de nuestra experiencia con un sistema de simulación virtual basado en tecnología háptica, para el entrenamiento en los remplazos articulares de rodilla en el Hospital de San José de Bogotá DC. La incursión de la informática en la educación médica y la utilización de simuladores para el aprendizaje de procedimientos quirúrgicos son herramientas claves para las personas que se encuentran en formación. Aunque en la actualidad no hay un estudio con validez estadística para demostrar que este método es el mejor sistema de entrenamiento, en nuestra experiencia la realidad virtual y la tecnología háptica, entre muchos beneficios, facilitan la adquisición de habilidades comunicativas, clínicas y psicomotrices, disminuyen el tiempo necesario para el aprendizaje de habilidades y la experiencia adquirida es fácil transferirla a la realidad.