Results 31 to 40 of about 4,489,782 (294)
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 +4 more
doaj +1 more source
brain-machine-intelligence/task_complexity_2018 1.0.0
Simulation code for the computational model of arbitration and corresponding group effect fMRI ...
DongjaeKim-KAIST +2 more
core +1 more source
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 +5 more
doaj +1 more source
brain-machine-intelligence/Platforms: version_1127 (4 Unity scenes)
<p>This release includes 4 Unity environments.</p ...
brain-machine-intelligence
core +1 more source
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 +4 more
doaj +1 more source
Organoid Brain-Machine-Interface Devices for Central Nervous System Repair. [PDF]
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Xing Y +10 more
europepmc +2 more sources
Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges [PDF]
In recent years, new research has brought the field of EEG-based Brain-Computer Interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer ...
R. Rupp +58 more
core +2 more sources
Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a
Trieu Phat Luu +3 more
doaj +1 more source
Evaluating Classifiers to Detect Arm Movement Intention from EEG Signals
This paper presents a methodology to detect the intention to make a reaching movement with the arm in healthy subjects before the movement actually starts.
Daniel Planelles +5 more
doaj +1 more source
Mobile Brain-Body Imaging and Visual Data of Theatrical Actors During Rehearsal and Performance
This longitudinal Mobile Brain-Body Imaging dataset was acquired during six rehearsal sessions and three public performances of a scene from a play with highly emotional components.
Manuel Flurin Hendry +14 more
doaj +1 more source

