Results 11 to 20 of about 5,790,223 (251)

Application of Motor Imagery Brain-Computer Interface in Rehabilitation of Neurological Diseases

open access: yes康复学报, 2023
Brain-computer interface (BCI) technology is an innovative human-computer interaction technology that does not rely on the peripheral nerve transmission pathway and muscle tissues, and establishes the connection between the human brain and the external ...
YANG Banghua
doaj   +2 more sources

Application Specification of Transcranial Magnetic Stimulation's Multi-mode Evaluate Technology

open access: yes康复学报
Transcranial magnetic stimulation (TMS) is utilized in the rehabilitation of brain diseases for neuroelectrophysiological assessment, enabling non-invasive and objective evaluation of patients, thus aiding in the exploration of brain dysfunction and ...
Brain Function Detection and Regulation Rehabilitation Committee of Chinese Association of Rehabilitation Medicine   +1 more
doaj   +1 more source

Interaction Paradigms for Brain-Body Interfaces for Computer Users with Brain Injuries [PDF]

open access: yes
In comparison to all types of injury, those to the brain are among the most likely to result in death or permanent disability. Some of these brain-injured people cannot communicate, recreate, or control their environment due to severe motor impairment.
Gnanayutham, Paul Wesley
core   +6 more sources

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

open access: yes, 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   +9 more
core   +1 more source

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

open access: yes, 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.   +18 more
core   +2 more sources

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

open access: yes, 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   +4 more
core   +1 more source

Detection of intention level in response to task difficulty from EEG signals [PDF]

open access: yes, 2013
We present an approach that enables detecting intention levels of subjects in response to task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI).
Elif Hocaoglu   +7 more
core   +1 more source

Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges [PDF]

open access: yes, 2010
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

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

open access: yes, 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   +3 more
core   +1 more source

Multiresolution analysis over simple graphs for brain computer interfaces [PDF]

open access: yes, 2013
Objective. Multiresolution analysis (MRA) offers a useful framework for signal analysis in the temporal and spectral domains, although commonly employed MRA methods may not be the best approach for brain computer interface (BCI) applications.
Palaniappan, R   +4 more
core   +1 more source

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