Results 31 to 40 of about 97,052 (301)

Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study

Frontiers in Neurorobotics, 2020
The use of brain-machine interfaces in combination with robotic exoskeletons is usually based on the analysis of the changes in power that some brain rhythms experience during a motion event.
Mario Ortiz, Mario Ortiz, Eduardo Iáñez, José L. Contreras-Vidal, José M. Azorín   +4 more
doaj   +1 more source

Incorporation of a language model into a Brain Computer Interface based speller through HMMs [PDF]

, 2012
Brain computer interface (BCI) research deals with the problem of establishing direct communication pathways between the brain and external devices. The primary motivation is to enable patients with limited or no muscular control to use external devices ...
Çetin, Müjdat, Ulaş, Çağdaş
core   +1 more source

A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions [PDF]

, 2022
Brain-computer interface (BCI) aims to translate human intention into a control output signal. In motor-imaginary (MI) BCI, the imagination of movement modifies the cortex brain activity.
Farahi, Morteza, Morteza Farahi, Sadaf Khademi, Mehrnoosh Neghabi, Hamid Reza Marateb, Khademi, Sadaf, Neghabi, Mehrnoosh, Marateb, Hamid Reza, Mehdi Shirzadi, Shirzadi, Mehdi   +9 more
core   +1 more source

Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton

iScience, 2023
Summary: This study explores the use of a brain-computer interface (BCI) based on motor imagery (MI) for the control of a lower limb exoskeleton to aid in motor recovery after a neural injury.
Laura Ferrero, Vicente Quiles, Mario Ortiz, Eduardo Iáñez, Ángel Gil-Agudo, José M. Azorín   +5 more
doaj   +1 more source

Controlling Gestures of a Social Robot in a Brain Machine Interface Platform [PDF]

, 2016
International audienceNeural-based robotic platforms have become increasingly attractive option as a mean of direct communication between the brain and environment without any further physical contact.
Zhao, Xiaopeng, Abiri, Reza, Jiang, Yang
core   +1 more source

Brain–Machine Interfaces: The Role of the Neurosurgeon [PDF]

World Neurosurgery, 2021
The neurotechnology field is set to expand rapidly in the coming years as technological innovations in hardware and software are translated to the clinical setting. Given our unique access to patients with neurological disorders, expertise with which to guide appropriate treatments and technical skills to implant brain-machine interfaces (BMIs ...
Aswin Chari, Sanjay Budhdeo, Rachel Sparks, Damiano G. Barone, Hani J. Marcus, Erlick A.C. Pereira, Martin M. Tisdall   +6 more
openaire   +5 more sources

PIN generation using EEG : a stability study [PDF]

, 2014
In a previous study, it has been shown that brain activity, i.e. electroencephalogram (EEG) signals, can be used to generate personal identification number (PIN). The method was based on brain–computer interface (BCI) technology using a P300-based BCI
Revett, Kenneth, Palaniappan, Ramaswamy
core   +1 more source

Implantable brain–computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury [PDF]

, 2023
Loss of hand function after cervical spinal cord injury severely impairs functional independence. We describe a method for restoring volitional control of hand grasp in one 21-year-old male subject with complete cervical quadriplegia (C5 American Spinal ...
Dietrich, W Dalton, Abel, John H, Jagid, Jonathan, Cajigas, Iahn, Zimmerman, Lauren, Vanni, Steven, Ivan, Michael E, Gant, Katie, Davis, Kevin C, Prasad, Abhishek, Parks, Brandon A, Wilson, Audrey, Meschede-Krasa, Benyamin, Gallo, Sebastian, Tauber, John Michael, Palermo, Anne, Fisher, Letitia, Levi, Allan D, Naeem, Jasim Ahmad, Brown, Emery Neal, Prins, Noeline W, Garwood, Indie C, Guerra, Santiago   +22 more
core   +1 more source

Effect of tDCS stimulation of motor cortex and cerebellum on EEG classification of motor imagery and sensorimotor band power

Journal of NeuroEngineering and Rehabilitation, 2017
Background Transcranial direct current stimulation (tDCS) is a technique for brain modulation that has potential to be used in motor neurorehabilitation.
Irma N. Angulo-Sherman, Marisol Rodríguez-Ugarte, Nadia Sciacca, Eduardo Iáñez, José M. Azorín   +4 more
doaj   +1 more source

Intention estimation in brain–machine interfaces [PDF]

Journal of Neural Engineering, 2014
The objective of this work was to quantitatively investigate the mechanisms underlying the performance gains of the recently reported 'recalibrated feedback intention-trained Kalman Filter' (ReFIT-KF).This was accomplished by designing variants of the ReFIT-KF algorithm and evaluating training and online data to understand the neural basis of this ...
Joline M, Fan, Paul, Nuyujukian, Jonathan C, Kao, Cynthia A, Chestek, Stephen I, Ryu, Krishna V, Shenoy   +5 more
openaire   +2 more sources