Browsing by Keyword "Rehabilitation robots"
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Item Dispositivo Robótico Multifuncional para la Rehabilitación de las Extremidades Superiores(2018) Mancisidor, Aitziber; Zubizarreta, Asier; Cabanes, Itziar; Bengoa, Pablo; Jung, Je Hyung; Medical TechnologiesEn este trabajo se presenta un dispositivo de rehabilitación innovador por su flexibilidad y eficiencia denominado Universal Haptic Pantograph (UHP). Este robot, gracias a su estructura multi-configurable permite la rehabilitación del miembro superior con un único dispositivo. Además, se ha diseñado con la habilidad de realizar diferentes tareas asistivas y resistivas, pudiendo así adaptarse al estado de recuperación del paciente. Finalmente, el software Telereha genera un entorno de realidad virtual que facilita la ejecución del ejercicio y aumenta la motivación del paciente. El sistema de control del robot se ha implementado entiempo real con el fin de garantizar la correcta ejecución de las tareas de rehabilitación. Usando este sistema, se han realizado diferentes ensayos experimentales. Los resultados demuestran que el robot de rehabilitación UHP funciona correctamente con diferentes tareas de rehabilitación, realizando movimientos suaves y seguros que garantizan la seguridad del usuario.Item Kinematical and dynamical modeling of a multipurpose upper limbs rehabilitation robot(2018-02) Mancisidor, Aitziber; Zubizarreta, Asier; Cabanes, Itziar; Bengoa, Pablo; Jung, Je Hyung; Tecnalia Research & Innovation; Medical TechnologiesKnowing accurate model of a system is always beneficial to design a robust and safe control while allowing reduction of sensors-related cost as the system outputs are predictable using the model. In this context, this paper addresses the kinematical and dynamical model identification of the multipurpose rehabilitation robot, Universal Haptic Pantograph (UHP), and present experimental validations of the identified models. The UHP is a Pantograph based innovative robot actuated by two SEAs (Series Elastic Actuator), aiming at training impaired upper limbs after a stroke. This novel robot, thanks to its lockable/unlockable joints, can change its mechanical structure so that it enables stroke patient to perform different training exercises of the shoulder, elbow and wrist. This work focuses on the ARM mode, which is a training mode used to rehabilitate elbow and shoulder. The kinematical model of UHP is identified based on the loop vector equations, while the dynamical model is derived based on the Lagrangian formulation. To demonstrate the accuracy of the models, several experimental tests were performed. The results reveal that the mean position error between estimated values with the model and actual measured values stays in 3 mm (less than 2% of the maximum motion range). Moreover, the error between estimated and measured interaction force is smaller than 10% of maximum force range. So, the developed models can be adopted to estimate motion and force of UHP as well as control it without the need of additional sensors such as a force sensor, resulting in the reduction of total robot cost.Item Robot-supported assessment of balance in standing and walking(2017-08-14) Shirota, Camila; van Asseldonk, Edwin; Matjačić, Zlatko; Vallery, Heike; Barralon, Pierre; Maggioni, Serena; Buurke, Jaap H.; Veneman, Jan F.; Tecnalia Research & Innovation; Medical TechnologiesClinically useful and efficient assessment of balance during standing and walking is especially challenging in patients with neurological disorders. However, rehabilitation robots could facilitate assessment procedures and improve their clinical value. We present a short overview of balance assessment in clinical practice and in posturography. Based on this overview, we evaluate the potential use of robotic tools for such assessment. The novelty and assumed main benefits of using robots for assessment are their ability to assess 'severely affected' patients by providing assistance-as-needed,as well as to provide consistent perturbations during standing and walking while measuring the patient's reactions. We provide a classification of robotic devices on three aspects relevant to their potential application for balance assessment: 1) how the device interacts with the body, 2) in what sense the device is mobile, and 3) on what surface the person stands or walks when using the device. As examples, nine types of robotic devices are described, classified and evaluated for their suitability for balance assessment. Two example cases of robotic assessments based on perturbations during walking are presented. We conclude that robotic devices are promising and can become useful and relevant tools for assessment of balance in patients with neurological disorders, both in research and in clinical use. Robotic assessment holds the promise to provide increasingly detailed assessment that allows to individually tailor rehabilitation training, which may eventually improve training effectiveness.