Results 21 to 30 of about 97,052 (301)

A note on brain actuated spelling with the Berlin brain-computer interface [PDF]

, 2007
Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain.
Krauledat, M., Matthias Krauledat, Blankertz, B., G. Dornhege, Benjamin Blankertz, Klaus-Robert Müller, B. Blankertz, M. Krauledat, Murray-Smith, Roderick, Müller, K-R., Dornhege, G., Guido Dornhege, Murray-Smith, R., Williamson, John, Williamson, J., Roderick Murray-Smith, Blankertz, Benjamin, John Williamson   +17 more
core   +1 more source

Brain Machine Interface

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract— Brain Machine Interface is also known as ‘A brain-computer inteface’.A brain-computer interface (BCI), sometimes called a direct neural interface or a brain-machine interface, is a direct communication pathway between a human or animal brain and an external device.
Ajinkya Sasne, Ashutosh Banait, Apurva Raut, Vishal Raut   +3 more
openaire   +1 more source

Adaptive personalisation for researcher-independent brain body interface usage [PDF]

, 2009
In this case study, we report what we believe to be the first prolonged in-situ use of a brain-body interface for rehabilitation of individuals with severe neurological impairment due to traumatic brain injury with no development researchers present.
Gnanayutham, Paul, Cockton, Gilbert, Paul Gnanayutham, Cockton, G., Gilbert Cockton   +4 more
core   +1 more source

Brain-to-brain communication during musical improvisation: a performance case study [version 4; peer review: 1 approved, 2 approved with reservations]

F1000Research, 2023
Understanding and predicting others' actions in ecological settings is an important research goal in social neuroscience. Here, we deployed a mobile brain-body imaging (MoBI) methodology to analyze inter-brain communication between professional musicians
Mauricio A. Ramírez-Moreno, José L. Contreras-Vidal, Dan Gelok, Guillermo Reza, Girija Chatufale, Woody Witt, Jesús G. Cruz-Garza, Akanksha Acharya   +7 more
doaj   +1 more source

Characterization of the Stages of Creative Writing With Mobile EEG Using Generalized Partial Directed Coherence

Frontiers in Human Neuroscience, 2020
Two stages of the creative writing process were characterized through mobile scalp electroencephalography (EEG) in a 16-week creative writing workshop. Portable dry EEG systems (four channels: TP09, AF07, AF08, TP10) with synchronized head acceleration ...
Jesus G. Cruz-Garza, Akshay Sujatha Ravindran, Anastasiya E. Kopteva, Cristina Rivera Garza, Cristina Rivera Garza, Jose L. Contreras-Vidal   +5 more
doaj   +1 more source

Brain-to-brain communication during musical improvisation: a performance case study [version 3; peer review: 1 approved, 2 approved with reservations]

F1000Research, 2023
Understanding and predicting others' actions in ecological settings is an important research goal in social neuroscience. Here, we deployed a mobile brain-body imaging (MoBI) methodology to analyze inter-brain communication between professional musicians
Mauricio A. Ramírez-Moreno, José L. Contreras-Vidal, Dan Gelok, Guillermo Reza, Girija Chatufale, Woody Witt, Jesús G. Cruz-Garza, Akanksha Acharya   +7 more
doaj   +1 more source

Brain computer interface based robotic rehabilitation with online modification of task speed [PDF]

, 2013
We present a systematic approach that enables online modification/adaptation of robot assisted rehabilitation exercises by continuously monitoring intention levels of patients utilizing an electroencephalogram (EEG) based Brain-Computer Interface (BCI ...
Saraç, Mine, Mine Sarac, Çetin, Müjdat, Volkan Patoglu, Patoğlu, Volkan, Mujdat Cetin, Koyaş, Ela, Ela Koyas, Erdoğan, Ahmetcan, Ahmetcan Erdogan   +9 more
core   +1 more source

An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth

Scientific Reports, 2023
Recent advancements in machine learning and deep learning (DL) based neural decoders have significantly improved decoding capabilities using scalp electroencephalography (EEG). However, the interpretability of DL models remains an under-explored area. In
Akshay Sujatha Ravindran, Jose Contreras-Vidal   +1 more
doaj   +1 more source

Cognitive Neural Prosthetics: Brain Machine Interfaces Based in Parietal Cortex [PDF]

, 2005
Systems neuroscience has recently emerged as an applied field in the form of neural prosthetic development. This integration of empirical systems neuroscience with engineering in order to develop functional interfaces between external devices and the ...
Meeker, Daniella Elena Patricia
core   +1 more source

Sensory Integration in Human Movement: A New Brain-Machine Interface Based on Gamma Band and Attention Level for Controlling a Lower-Limb Exoskeleton

Frontiers in Bioengineering and Biotechnology, 2020
Brain-machine interfaces (BMIs) can improve the control of assistance mobility devices making its use more intuitive and natural. In the case of an exoskeleton, they can also help rehabilitation therapies due to the reinforcement of neuro-plasticity ...
Mario Ortiz, Mario Ortiz, Laura Ferrero, Eduardo Iáñez, José M. Azorín, José L. Contreras-Vidal   +5 more
doaj   +1 more source