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Eduardo Iáñez
Researcher at Universidad Miguel Hernández de Elche
Publications - 113
Citations - 1211
Eduardo Iáñez is an academic researcher from Universidad Miguel Hernández de Elche. The author has contributed to research in topics: Computer science & Brain–computer interface. The author has an hindex of 17, co-authored 97 publications receiving 974 citations.
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SVM-based Brain–Machine Interface for controlling a robot arm through four mental tasks
Enrique Hortal,Daniel Planelles,Álvaro Costa,Eduardo Iáñez,Andrés Úbeda,José M. Azorín,Eduardo Fernández +6 more
TL;DR: A non-invasive spontaneous Brain–Machine Interface has been designed to control a robot arm through the mental activity of the users through the classification of four mental tasks in order to manage the movements of the robot.
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Visual evoked potential-based brain-machine interface applications to assist disabled people
TL;DR: A brain-computer interface based on electroencephalography (EEG) that has been developed to assist disabled people using the evoked potentials paradigm, which allows severe disabled people to interact with other people using basic commands related to emotions and needs.
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Mental tasks-based brain-robot interface
TL;DR: A Brain Computer Interface (BCI) based on electroencephalography (EEG) that allows control of a robot arm will enable people with severe disabilities to control a robot arms to assist them in a variety of tasks in their daily lives.
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Wireless and Portable EOG-Based Interface for Assisting Disabled People
TL;DR: A new portable and wireless interface based on electrooculography (EOG) aimed at people with severe motor disorders that allows the movement of the eyes measuring the potential between the cornea and the retina to be detected.
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Decoding the Attentional Demands of Gait through EEG Gamma Band Features
Álvaro Costa,Eduardo Iáñez,Andrés Úbeda,Enrique Hortal,Antonio J. del-Ama,Ángel Gil-Agudo,José M. Azorín +6 more
TL;DR: Evidence of the existence of classifiable cortical information related to the attention level on the gait is provided to allow the development of a real-time system that obtains the attentionlevel during lower limb rehabilitation.