Transitivity in Fuzzy Hyperspaces

Given a metric space (X, d), we deal with a classical problem in the theory of hyperspaces: how some important dynamical properties (namely, weakly mixing, transitivity and point-transitivity) between a discrete dynamical system f : (X, d) → (X, d) and its natural extension to the hyperspace are related. In this context, we consider the Zadeh’s extension fbof f to F(X), the family of all normal fuzzy sets on X, i.e., the hyperspace F(X) of all upper semicontinuous fuzzy sets on X with compact supports and non-empty levels and we endow F(X) with different metrics: the supremum metric d∞, the Skorokhod metric d0, the sendograph metric dS and the endograph metric dE. Among other things, the following results are presented: (1) If (X, d) is a metric space, then the following conditions are equivalent: (a) (X, f) is weakly mixing, (b) ((F(X), d∞), fb) is transitive, (c) ((F(X), d0), fb) is transitive and (d) ((F(X), dS)), fb) is transitive, (2) if f : (X, d) → (X, d) is a continuous function, then the following hold: (a) if ((F(X), dS), fb) is transitive, then ((F(X), dE), fb) is transitive, (b) if ((F(X), dS), fb) is transitive, then (X, f) is transitive; and (3) if (X, d) be a complete metric space, then the following conditions are equivalent: (a) (X × X, f × f) is point-transitive and (b) ((F(X), d0) is point-transitive

When is an ultracomplete space almost locally compact?

[EN] We study spaces X which have a countable outer base in βX; they are called ultracomplete in the most recent terminology. Ultracompleteness implies Cech-completeness and is implied by almost local compactness (≡having all points of non-local compactness inside a compact subset of countable outer character). It turns out that ultracompleteness coincides with almost local compactness in most important classes of isocompact spaces (i.e., in spaces in which every countably compact subspace is compact). We prove that if an isocompact space X is ω-monolithic then any ultracomplete subspace of X is almost locally compact. In particular, any ultracomplete subspace of a compact ω-monolithic space of countable tightness is almost locally compact. Another consequence of this result is that, for any space X such that vX is a Lindelöf Σ-space, a subspace of Cp(X) is ultracomplete if and only if it is almost locally compact. We show that it is consistent with ZFC that not all ultracomplete subspaces of hereditarily separable compact spaces are almost locally compact.Research supported by Consejo Nacional de Ciencia y Tecnología (CONACyT) of Mexico grants 94897 and 400200-5-38164-E.Jardón Arcos, D.; Tkachuk, VV. (2006). When is an ultracomplete space almost locally compact?. Applied General Topology. 7(2):191-201. doi:10.4995/agt.2006.1923.SWORD1912017

Actividad física extraescolar y rendimiento académico

We want to know the Extracurricular Physical Activity and demonstrate that this practice improves Academic Performance. That was a descriptive, cross-sectional, quantitative research using a questionnaire (applied to children / as between 10 and 13 years in two primary schools) and Academic Notes first assessment being analyzed with SPSS/21. Results indicate that 72.3% of the students practiced Extracurricular Physical Activities, the Academic Average is 6.77 Notes or e BMI is around dos 20 kg/m2. Significant differences (p< .05) seem to suggest that the practice of Extracurricular Physical Activity has a positive influence on the Academic Performance.Objetivos: Saber en qué medida las y los escolares practican algún tipo de Actividad Física Extraescolar y Conocer la influencia de la práctica de la Actividad Física en el Rendimiento Académico. Material y Método: Se realizó una investigación descriptiva, transversal, cuantitativa utilizando un Cuestionario estructurado (aplicado a 92 niños/as, de 10-13 años, de dos colegios de Educación Primaria) y las Notas Académicas de la primera evaluación. Los datos obtenidos están siendo analizados con el SPSS/21. Resultados y Conclusiones: Están en fase de realización

The automated box and blocks test an autonomous assessment method of gross manual dexterity in stroke rehabilitation

Traditional motor assessment is carried out by clinicians using standard clinical tests in order to have objectivity in the evaluation, but this manual procedure is liable to the observer subjectivity. In this article, an automatic assessment system based on the Box and Blocks Test (BBT) of manual dexterity is presented. Also, the automatic test administration and the motor performance of the user is addressed. Through cameras RGB-D the execution of the test and the patient's movements are monitored. Based on colour segmentation, the cubes displaced by the user are detected and the traditional scoring is automatically calculated. Furthermore, a pilot trial in a hospital environment was conducted, to compare the automatic system and its e ectiveness with respect to the traditional one. The results support the use of automatic assessment methods of motor functionality, which in combination with robotic rehabilitation systems, could address an autonomous and objective rehabilitation process.The research leading to these results has received funding from the ROBOHEALTH-A project (DPI2013-47944-C4-1-R) funded by Spanish Ministry of Economy and Competitiveness and from the RoboCity2030-III-CM project (S2013/MIT-2748), funded by Programas de Actividades I+D en la Comunidad de Madrid and cofunded by Structural Funds of the EU

ROS2 gesture classification pipeline towards gamified neuro-rehabilitation therapy

[Resumen] La rehabilitación es una herramienta esencial que ayuda a las personas a restaurar la movilidad en las extremidades afectadas por diversas afecciones, como enfermedades neurológicas. Las terapias convencionales, que incluyen terapia ocupacional, física y del habla, se han mejorado con nuevas tecnologías, como sistemas robóticos asistidos y juegos de realidad virtual y aumentada, para aumentar la participación y, en consecuencia, la efectividad. Esta investigación se centra en la implementación de un dispositivo portátil de sensores de electromiograma (EMG) de ocho canales, el brazalete Mindrove, para el reconocimiento de gestos. El objetivo es desarrollar un modelo clasificador utilizando el algoritmo de Máquinas de Vectores de Soporte (SVM) para distinguir ocho gestos diferentes de la mano y aplicarlo en un sistema de reconocimiento de gestos. El estudio demuestra la viabilidad de este sistema de reconocimiento y explora la aplicación potencial de esta tecnología en juegos interactivos de Unity para terapia de rehabilitación. Los resultados muestran una precisión prometedora en la clasificación del modelo y se necesita más investigación para abordar los desafíos relacionados con la especificidad del usuario y la precisión del reconocimiento de gestos. El trabajo futuro implica ampliar el repertorio de gestos reconocidos, incorporar datos adicionales del sensor y explorar técnicas de extracción de características más avanzadas para mejorar el rendimiento general del sistema de reconocimiento de gestos en terapias de rehabilitación.[Abstract] Rehabilitation is an essential tool that aids individuals in restoring mobility in limbs affected by various conditions, such as neurological diseases. Conventional therapies, including occupational, physical, and speech therapy, have been improved by new technologies, such as assistive robotic systems, along with virtual and augmented reality games, to enhance engagement and, consequently, effectiveness. This research focuses on implementing an eight-channel electromyogram (EMG) wearable sensor device, Mindrove armband, for gesture recognition. The objective is to develop a classifier model using the Support Vector Machine (SVM) algorithm to distinguish eight different hand gestures and apply it in a gesture recognition system. The study demonstrates the feasibility of this recognition system and explores the potential application of this technology in interactive Unity games for rehabilitation therapy. The results show promising accuracy in model classification, and further research is needed to address challenges related to user specificity and gesture recognition accuracy. Future work involves expanding the repertoire of recognized gestures, incorporating additional sensor data, and exploring more advanced feature extraction techniques to enhance the overall performance of the gesture recognition system in rehabilitation therapies.Ministerio de Ciencia e Innovación; PID2020-113508RBI0

Towards an affordable assistive device for personal autonomy recovery in tasks required of manual dexterity

This paper reviews the results of a challenging engineering project that arose with the goal of implementing an electromechanical, automatic, portable, and inexpensive device. The device should be able to assist people who lack of dexterity in their hands to use small tools and everyday utensils, such as scissors or tweezers. In this paper, the hardware development and software functionality are described. The original specifications were developed to implement an affordable functional prototype able to serve as a low-cost assistive technology. Several commonly used electronic devices were integrated to create an innovative application. A simple mechanical system based on gears and a worm screw is used to convert the stepper motor rotation to a linear movement on the device tip. A tool-oriented control to increase the device usability was designed through two simultaneous communication channels: touch-screen and smartphone app. Pilot trials were conducted at healthcare facilities to evaluate the technical feasibility, the obtained functionality, as well as the device acceptance by target users. Based on user experience design, the app functionality was enhanced and subsequently tested. Finally, a review and reformulation of the specifications of the original design were accomplished. These changes helped to achieve a system with a lower manufacturing cost and better acceptance, while considering the user in the development cycle.This work was supported in part by the RoboCity2030-III-CM Project (Robotica aplicada a la mejora de la calidad de vida de los ciudadanos. Fase III; S2013/MIT-2748), in part by the Programas de Actividades I+D en la Comunidad de Madrid, in part by the Structural Funds of the EU, and in part by the private Fundacion Universia

Control orientado a la herramienta para dispositivo asistencial en tareas que requieren capacidad de pinzado

[Resumen] PRESSMATIC es un dispositivo electromecánico que genera movimientos automáticos de apertura y cierre en su extremo. Está dirigido a personas que conservan movilidad en las extremidades superiores, pero carecen de destreza manual para utilizar herramientas pequeñas como tijeras, cortaúñas o pinzas. En el desarrollo tecnológico del dispositivo, se han utilizado elementos comunes, sin embargo, la aplicación en sí misma es innovadora. En este artículo, se presenta el desarrollo del sistema de control orientado a las herramientas, que ha sido implementado para elevar la usabilidad del dispositivo. Además, se describe brevemente la interfaz gráfica que soporta el control. Se muestran también, los resultados de pruebas con usuarios potenciales y, finalmente se presentan las conclusiones.Comunidad de Madrid; S2013/MIT-2748https://doi.org/10.17979/spudc.978849749808

Robotics in health care: Perspectives of robot-aided interventions in clinical practice for rehabilitation of upper limbs

This article belongs to the Special Issue Rehabilitation Robotics: Recent Advancements and New Perspectives about Training and Assessment of Sensorimotor Functions.Robot-aided systems to support the physical rehabilitation of individuals with neurological impairment is one of the fields that has been widely developed in the last few decades. However, the adoption of these systems in clinical practice remains limited. In order to better understanding the causes of this limitation, a systematic review of robot-based systems focused on upper extremity rehabilitation is presented in this paper. A systematic search and review of related articles in the literature were conducted. The chosen works were analyzed according to the type of device, the data analysis capability, the therapy method, the human–robot interaction, the safety strategies, and the focus of treatment. As a conclusion, self-adaptation for personalizing the treatments, safeguarding and enhancing of patient–robot interaction towards training essential factors of movement generation into the same paradigm, or the use of lifelike environments in fully-immersive virtual reality for increasing the assimilation of motor gains could be relevant factors to develop more accepted robot-aided systems in clinical practice.This work was supported in part by the Spanish Ministry of Economy and Competitiveness via the ROBOESPASproject (DPI2017-87562-C2-1-R) and in part by the RoboCity2030-DIH-CMMadrid Robotics Digital Innovation Hub ("Robótica aplicada a la mejora de la calidad de vida de los ciudadanos, Fase IV"; S2018/NMT-4331), which is funded by the Programas de Actividades I+DComunidad de Madrid and cofunded by the Structural Funds of the EU

Review of automated systems for upper limbs functional assessment in neurorehabilitation

Traditionally, the assessment of upper limb (UL) motor function in neurorehabilitation is carried out by clinicians using standard clinical tests for objective evaluation, but which could be influenced by the clinician's subjectivity or expertise. The automation of such traditional outcome measures (tests) is an interesting and emerging field in neurorehabilitation. In this paper, a systematic review of systems focused on automation of traditional tests for assessment of UL motor function used in neurological rehabilitation is presented. A systematic search and review of related articles in the literature were conducted. The chosen works were analyzed according to the automation level, the data acquisition systems, the outcome generation method, and the focus of assessment. Finally, a series of technical requirements, guidelines, and challenges that must be considered when designing and implementing fully-automated systems for upper extremity functional assessment are summarized. This paper advocates the use of automated assessment systems (AAS) to build a rehabilitation framework that is more autonomous and objective.This work was supported in part by the Spanish Ministry of Economy and Competitiveness via the ROBOHEALTH (DPI2013-47944-C4-1-R) and ROBOESPAS (DPI2017-87562-C2-1-R) Projects, and in part by the RoboCity2030-III-CM project (S2013/MIT-2748) which is funded by the Programas de Actividades I+D Comunidad de Madrid and cofunded by the Structural Funds of the EU

Robot-Aided Systems for Improving the Assessment of Upper Limb Spasticity: A Systematic Review

This article belongs to the Special Issue Sensors Technology for Medical Robotics.Spasticity is a motor disorder that causes stiffness or tightness of the muscles and can interfere with normal movement, speech, and gait. Traditionally, the spasticity assessment is carried out by clinicians using standardized procedures for objective evaluation. However, these procedures are manually performed and, thereby, they could be influenced by the clinician’s subjectivity or expertise. The automation of such traditional methods for spasticity evaluation is an interesting and emerging field in neurorehabilitation. One of the most promising approaches is the use of robot-aided systems. In this paper, a systematic review of systems focused on the assessment of upper limb (UL) spasticity using robotic technology is presented. A systematic search and review of related articles in the literature were conducted. The chosen works were analyzed according to the morphology of devices, the data acquisition systems, the outcome generation method, and the focus of intervention (assessment and/or training). Finally, a series of guidelines and challenges that must be considered when designing and implementing fully-automated robot-aided systems for the assessment of UL spasticity are summarized