Dynamic Adaptive System for Robot-Assisted Motion Rehabilitation

This paper presents a dynamic adaptive system for administration of robot-assisted therapy. The main novelty of the proposed approach is to close patient in the loop and use multisensory data (such as motion, forces, voice, muscle activity, heart rate, and skin conductance) to adaptively and dynamically change the complexity of the therapy and real-time displays of an immersive virtual reality system in accordance with specific patient requirements. The proposed rehabilitation system can be considered as a complex system that is composed of the following subsystems: data acquisition, multimodal human–machine interface, and adaptable control system. This paper shows the description of the developed fuzzy controller used as the core of the adaptable control subsystem. Finally, experimental results with ten subjects are reported to show the performance of the proposed solution

Towards a Synesthesia Laboratory: Real-time Localization and Visualization of a Sound Source for Virtual Reality Applications

In this paper, we present our findings related to the problem of localization and visualization of a sound source placed in the same room as the listener. The particular effect that we aim to investigate is called synesthesia—the act of experiencing one sense modality as another, e.g., a person may vividly experience flashes of colors when listening to a series of sounds. Towards that end, we apply a series of recently developed methods for detecting sound source in a three-dimensional space around the listener.We also apply a Kalman filter to smooth out the perceived motion. Further, we transform the audio signal into a series of visual shapes, such that the size of each shape is determined by theloudness of the sound source, and its color is determined by the dominant spectral component of the sound. The developed prototype is verified in real time. The prototype configuration is described and some initial experimental results are reported and discussed. Some ideas for further development are also presented

Towards a Synesthesia Laboratory: Real-time Localization and Visualization of a Sound Source for Virtual Reality Applications

In this paper, we present our findings related to the problem of localization and visualization of a sound source placed in the same room as the listener. The particular effect that we aim to investigate is called synesthesia—the act of experiencing one sense modality as another, e.g., a person may vividly experience flashes of colors when listening to a series of sounds. Towards that end, we apply a series of recently developed methods for detecting sound source in a three-dimensional space around the listener.We also apply a Kalman filter to smooth out the perceived motion. Further, we transform the audio signal into a series of visual shapes, such that the size of each shape is determined by theloudness of the sound source, and its color is determined by the dominant spectral component of the sound. The developed prototype is verified in real time. The prototype configuration is described and some initial experimental results are reported and discussed. Some ideas for further development are also presented

Procesado y análisis de señales fisiológicas en tareas de rehabilitación con robots

Se presenta un estudio de investigación para evaluar la posibilidad de medir el grado estrés de una persona al interactuar con la plataforma robótica de neuro-rehabilitación E2REBOT, a través de su estado psicofisiológico. Con este fin, se realizó un estudio sobre 47 sujetos conforme a un protocolo de actuación. Se llevaron a cabo varias etapas de interacción con el robot E2REBOT durante las cuales se valoró su grado de estrés mediante varios test autoevaluativos y se monitorizaron tres señales fisiológicas: el electrocardiograma (ECG), la respuesta galvánica de la piel (GSR) y la temperatura de la piel (SKT). El procesamiento y análisis de los datos, ha permitido relacionar el estado psicofisiológico originado por las terapias, con las respuestas fisiológicas. Los resultados evidencian que pueda medirse la carga cognitiva de las terapias a través de las señales fisiológicas del paciente, lo que permitiría realizar una realimentación biológica en el controlador del robot durante las terapias.Departamento de Ingeniería de Sistemas y AutomáticaGrado en Ingeniería en Electrónica Industrial y Automátic

Desarrollo de nuevas terapias y evaluación del estado emocional en la interacción física de una persona y el robot de rehabilitación neuromotora PHYSIOBOT

Con el presente estudio de investigación se ha buscado la validación del uso de nuevas terapias virtuales desarrolladas para la plataforma robótica de neuro-rehabilitación PHYSIOBOT como etapa previa a su ensayo con pacientes. Se parte de un estudio realizado sobre 50 sujetos sanos siguiendo un novedoso protocolo de actuación, en el que se ha medido su estado psicofisiológico durante el desarrollo de una serie de terapias virtuales en las que se interactuó con PHYSIOBOT. En ellas se midió el grado de estrés mediante una batería de test auto evaluativos. Se monitorizaron tres señales fisiológicas: el electrocardiograma (ECG), la respuesta galvánica de la piel (GSR) y la temperatura de la piel (SKT). A continuación se realizó un procesamiento y análisis de los datos obtenidos en Matlab, obteniendo como resultado una relación entre el estado psicofisiológico asociado a la realización de las terapias, con las respuestas fisiológicas de los sujetos. Los resultados evidencian que pueda medirse la carga cognitiva que implican las actividades terapéuticas a través de las señales fisiológicas del paciente, lo que permitiría incluir al paciente en el lazo de control del robot, utilizando la realimentación basada en el valor de las señales fisiológicas del sujetoDepartamento de Ingeniería de Sistemas y AutomáticaMáster en Ingeniería Industria

State of the Art in Neurotechnologies for Assistance and Rehabilitation in Spain: Fundamental Technologies

[EN] Neurotechnologies are those technologies aimed to study the nervous system, or to improve its function. These technologies expand the range of treatments for rehabilitating damaged functions and provide new healthcare solutions for the functions that have been lost. This paper reviews the rehabilitation and assistance neurotechnologies, mainly for motor disorders, it introduces a taxonomy that facilitates the systematic review, and it shows recent progresses made in Spain in the investigation, development, and application of their fundamental technologies.[ES] Las neurotecnologías son aquellas tecnologías dirigidas al estudio del sistema nervioso o a mejorar su función. Estas tecnologías permiten extender el rango de tratamientos disponibles para la rehabilitación de funciones dañadas y proporcionan nuevas soluciones asistenciales para las funciones perdidas. En este artículo se revisan las neurotecnologías de asistencia y rehabilitación, en trastornos motores principalmente, se introduce una taxonomía que facilita su revisión sistemática, y se proporciona una visión global de los avances logrados en la investigación, desarrollo y aplicación en España de aquellas de sus tecnologías más básicas.Los autores quieren agradecer el apoyo de NEUROTEC – Red Temática de Investigación en Neurotecnologías para la Asistencia y la Rehabilitación (DPI2015-69098-REDT), financiada por Ministerio de Economía y Competitividad.Barrios, LJ.; Hornero, R.; Pérez-Turiel, J.; Pons, JL.; Vidal, J.; Azorín, JM. (2017). Estado del Arte en Neurotecnologías para la Asistencia y la Rehabilitación en España: Tecnologías Fundamentales. Revista Iberoamericana de Automática e Informática industrial. 14(4):346-354. https://doi.org/10.1016/j.riai.2017.06.003346354144Alonso, J.F., Mañanas, M.A., Romero, S., Rojas-Martínez, M., Riba, J., 2012. 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