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Here an inertial sensor-based monitoring system for measuring and analyzing upper limb movements is presented. The final goal is the integration of this motion-tracking device within a portable rehabilitation system for brain injury patients. A set of four inertial sensors mounted on a special garment worn by the patient provides the quaternions(More)
OBJECTIVE Spasticity is common after spinal cord injury (SCI). Exaggerated tendon jerks, clonus, and spasms are key features of spasticity that result from hyperexcitability of the stretch reflex circuit. Here we studied the effects of vibration on the rectus femoris muscle (RF) on clinical and electrophysiological measures of spasticity in the leg. (More)
OBJECTIVE To report the clinical improvements in spinal cord injury (SCI) patients associated with intensive gait training using electromechanical systems according to patient characteristics. DESIGN Prospective longitudinal study. SETTING Inpatient SCI rehabilitation center. PARTICIPANTS Adults with SCI (n=130). INTERVENTION Patients received(More)
Objective: This research is focused in the creation and validation of a solution to the inverse kinematics problem for a 6 degrees of freedom human upper limb. This system is intended to work within a real-time dysfunctional motion prediction system that allows anticipatory actuation in physical Neurorehabil-itation under the assisted-as-needed paradigm.(More)
Co-adaptive training paradigms for event-related desynchronization (ERD) based brain-computer interfaces (BCI) have proven effective for healthy users. As of yet, it is not clear whether co-adaptive training paradigms can also benefit users with severe motor impairment. The primary goal of our paper was to evaluate a novel cue-guided, co-adaptive BCI(More)
The use of automated electromechanical devices for gait training in neurological patients is increasing, yet the functional outcomes of well-defined training programs using these devices and the characteristics of patients that would most benefit are seldom reported in the literature. In an observational study of functional outcomes, we aimed to provide a(More)
A Brain-Computer Interface (BCI) provides a completely new output pathway and so an additional possible way a person can express himself if he/she suffers disorders like amyotrophic lateral sclerosis (ALS), brainstem stroke, brain or spinal cord injury or other diseases which impair the function of the common output pathways which are responsible for the(More)
Anticipatory assistance-as-needed control algorithm for a multijoint upper limb robotic orthosis in physical neurorehabilitation, Expert Systems with Applications (2013), doi: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The(More)
Individuals with severe motor impairment can use event-related desynchronization (ERD) based BCIs as assistive technology. Auto-calibrating and adaptive ERD-based BCIs that users control with motor imagery tasks ("SMR-AdBCI") have proven effective for healthy users. We aim to find an improved configuration of such an adaptive ERD-based BCI for individuals(More)
Applied Neurotechnology Laboratory, Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany. Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany. Hospital de Neurorehabilitació Institut Guttmann, Barcelona, Spain. BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa,(More)