RESUMENLas lesiones de miembro superior ocasionan un profundo impacto en la calidad de vida del paciente. Es bien conocido que para la recuperación del paciente, debe permitírsele jugar un papel activo en su proceso de rehabilitación. Por esta razón, las nuevas tecnologías como la robótica, se están implementando para abordar este problema; tal como lo presentan las múltiples investigaciones reportadas en la literatura. En este artículo, se documentó una revisión de la literatura sobre dispositivos y sistemas robóticos para rehabilitación del miembro superior en niños, lo que incluyó algunos que aún se encuentran en fase de desarrollo, con el fin de ofrecer un panorama global sobre los diseños y soluciones que faciliten el avance de nuevos dispositivos. Para facilidad del lector, este documento se distribuyó en marco teórico, metodología, resultados y discusión, proyecciones de la ingeniería de rehabilitación y conclusiones.Palabras clave: Tecnología de asistencia, ingeniería, robótica, terapia, rehabilitación, revisión. ABSTRACTUpper limb injuries cause a profound impact on patient's quality of life. It is well known that for the recovery of the patient, should be allowed to play an active role in their rehabilitation process. For this reason, new technologies such as robotics, are being implemented to address this problem; as presented by the multiple investigations reported in the literature. In this article, the review of devices and robotic systems for rehabilitation of the upper limb in children was documented, including some that are still under development, in order to provide a comprehensive overview of the designs and solutions to facilitate the development of new devices. For convenience of the reader, this document was distributed into theoretical framework, methodology, results and discussion, projections rehabilitation engineering and conclusions.

Depression entails changes in the mental health of individuals worldwide. Episodes of depression lead to mood swings and changes in the motivational dimension. Our research focused on the prevalence of depression in the adult population and on how it affected the social and affective dimensions. Owing to the current pandemic, we deemed it necessary to explore how protective measures against COVID-19 infection, such as quarantines, could be related to mental health. Moreover, we found it important to determine the prevalence of depressive and anxious symptomatology in adults from the Valle del Cauca region in Colombia during the social isolation connected to COVID-19. Our study was descriptive, analytical and cross-sectional, and involved 1248 subjects. As tools, we used the Hamilton Depression Rating Scale and the Hamilton Anxiety Rating Scale. The data demonstrated that women were more likely to display symptoms of depression and that individuals aged between 24 and 29 were less likely to reveal symptoms of anxiety than those aged between 18 and 23. Moreover, childless or economically dependent individuals proved to be more likely to display symptoms of depression during the pandemic.

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The present work demonstrates the design and implementation of a human-safe, portable, noninvasive device capable of predicting type 2 diabetes, using electrical bioimpedance and biometric features to train an artificial learning machine using an active learning algorithm based on population selection. In addition, there is an API with a graphical interface that allows the prediction and storage of data when the characteristics of the person are sent. The results obtained show an accuracy higher than 90% with statistical significance ( p  < 0.05). The Kappa coefficient values were higher than 0.9, showing that the device has a good predictive capacity which would allow the screening process of type 2 diabetes. This development contributes to preventive medicine and makes it possible to determine at a low cost, comfortably, without medical preparation, and in less than 2 minutes whether a person has type 2 diabetes.

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