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Upper limb exoskeleton for tremor suppresion -
Robotic platform for the rehabilitation of children with Cerebral Palsy -
Vehicle for cognitive rehabilitation -
Neuromodulation for rehabilitation of stroke patients -
Wearable neuroprosthesis for tremor suppresion -
Example of tremor suppresion
The Neural and Cognitive Engineering group (gNec) has a long track expertise in research studies that generate a new body of knowledge and development of new technological solutions pursuing the comprehension and control of human biological systems and its relation to the environment. gNec is determined to play a leading role in this neurotechnological field, one of the strongest growing markets in the medical technology business. Research activities aims at leading the transition from classic robots to neuroprostheses in the field of rehabilitation robotics.
Since 2002, the group has developed a number of robotic platforms for the rehabilitation. Our approach is based on investigating and taking inspiration from biological models (in particular from the human model) to the design of innovative, dependable, inherently friendly and highly acceptable robotic systems. The research line is mainly focused on developing the next generation of wearable robots, focused on the rehabilitation of impaired people, growing populations with special needs in the European society.
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Altered resting state networks and cortical areas in Essential Tremor -
Corticospinal coupling in pathological tremors -
Relationship between neural drives to antagonist muscle in tremor
The Neural and Cognitive Engineering group (gNec) has a growing interest in understanding the neurophysiological mechanisms responsible for movement and cognitive functions in healthy and pathological conditions. We intend to identify biomarkers that allow for a better diagnosis of motor disorders, as well as novel strategies to manage their motor symptoms through robotics and/or electrical stimulation and also to study neurophysiological and neuropsychological evolution in cognitive training to identify cortical brain plasticity. The integration of neuropsychological, cognitive and clinical data can lead to generate “machine tools” to support neurodegenerative disease diagnosis.
Since 2002, the group has developed a number of robotic platforms for the rehabilitation. Our approach is based on investigating and taking inspiration from biological models (in particular from the human model) to the design of innovative, dependable, inherently friendly and highly acceptable robotic systems. The research line is mainly focused on developing the next generation of wearable robots, focused on the rehabilitation of impaired people, growing populations with special needs in the European society.
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Computational cognitive model of decision making for drug consumers -
Computational cognitive model of verb inflection for children with SLI -
Memory activation trace simulation of text reading -
Semantics representation of a computationaly read text
The Neural and Cognitive Engineering group (gNec) has a solid experience in the interdisciplinary research and development of plausible architectures of cognitive functions from neurological and psychological evidences explaining brain procedures from perception to output behavior. These architectures optimized to individual subjects produce models that can serve as diagnostic, prognostic and therapy assessment tools for suited interventions. We also work on the application of statistical techniques and machine learning methods to build average descriptive and predictive profiles from human biometric and psychometric data.
Since 1997, the group has addressed the computational modeling of several cognitive by new developed rational/emotional cognitive architectures. This research have leaded in the decision making field to a decision support system for fire emergencies and cognitive models of drug abusers. In the language field, we have developed models of reading ability in digital search systems and verb morphology production for specific language impairment and Alzheimer’s Disease. These models are complemented with data mining methods for dealing with other human biological/psychological information sources.
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Movement analysis technology -
Eye and face tracking -
Natural computer interface -
Rehabilitation and objective assessment
People with multiple physical and cognitive impairments have difficulties for using properly conventional pointing devices, what reduces their possibilities to communicate and improve their cognitive and physical skills through computers. Our research is focused on measuring the human intention to generate control commands using emerging sensor (motion, muscle activity, eye tracking, brain activity, etc.). The group has proven experience – very significant paper record in highly ranked publications and the participation in several national and European projects- in augmented and alternative communication, filtering of involuntary patterns, motor rehabilitation and objective assessment, among others.
The group develops sensors to measure different patterns of the human behavior. Since we are focused on movement disorders the main device is a Wireless Inertial Measurement Units (WIMU) , which captures the body limb motion. We develop wearable sensor for capturing human expressions and translate them into control commands.
