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Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation
Motor imagery has been suggested as an efficient alternative to improve the rehabilitation process of affected limbs. In this study, a low-cost robotic guide is implemented so that linear position can be controlled via the ...
EEG-based Brain-Computer Interfaces: An Overview of Basic Concepts and Clinical Applications in Neurorehabilitation
(FREUND & PETTMAN PUBLISHERS, 2010)
Some patients are no longer able to communicate effectively or even interact with the outside world in ways that most of us take for granted. In the most severe cases, tetraplegic or post-stroke patients are literally ...
Decoding of motor information from noninvasive electroencephalographic signals for brain-computer interfaces
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-01-29)
Brain-Computer Interfaces (BCIs) are emerging assistive technologies that provide an artificial communication pathway between the brain and the external world. These systems translate a mental task performed by the user ...
Diseño de una interfaz cerebro computador (BCI) para la interacción con un sistema de rehabilitación de miembro superior
(Universidad Autónoma de OccidenteMaestría en Ingeniería de Desarrollo de ProductosFacultad de IngenieríaCali, 2022-11-18)
La terapia como parte de la intervención en una persona con algún tipo de discapacidad es una oportunidad para mejorar sus condiciones de vida, sin embargo, la terapia convencional, aunque irremplazable, ha demostrado ...
Diseño de un prototipo de plataforma móvil a partir de eventos cerebrales generados en el lóbulo frontal
(Universidad Santo TomásPregrado Ingeniería ElectrónicaFacultad de Ingeniería Electrónica, 2020-12)
Encephalographic signals (EEG) are electrical signals produced in the brain by the action of the development of some activity or in a resting condition, these signals are currently being used for the development of computer ...
A penalized time-frequency band feature selection and classification procedure for improved motor intention decoding in multichannel EEG
(IOP Publishing, 2019-02)
Objective. Motor imagery brain-computer interfaces (MI-BCIs) based on electroencephalography (EEG), a promising technology to provide assistance and support rehabilitation of neurological patients with sensorimotor ...
Time series analysis using information measures supporting supervised learning tasks
(Departamento de Ingeniería Eléctrica y ElectrónicaUniversidad Nacional de Colombia - Sede Manizales, 2019)
The brain-computer interfaces provide an alternative control of the devices through the activity of the human brain. The selection of channels as a stage for the development of BCI systems allows to evaluate the important ...