Individually Adapted Imagery Improves Brain-Computer Interface Performance in End-Users with Disability
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Individually Adapted Imagery Improves Brain-Computer Interface Performance in End-Users with Disability
Authors
Keywords
Electroencephalography, Central nervous system, Man-computer interface, Spinal cord injury, Stroke, Linear discriminant analysis, Machine learning, Psychometrics
Journal
PLoS One
Volume 10, Issue 5, Pages e0123727
Publisher
Public Library of Science (PLoS)
Online
2015-05-19
DOI
10.1371/journal.pone.0123727
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG
- (2014) Petar Horki et al. Frontiers in Human Neuroscience
- Investigating the effects of a sensorimotor rhythm-based BCI training on the cortical activity elicited by mental imagery
- (2014) J Toppi et al. Journal of Neural Engineering
- A Co-Adaptive Brain-Computer Interface for End Users with Severe Motor Impairment
- (2014) Josef Faller et al. PLoS One
- Long-term evaluation of a 4-class imagery-based brain–computer interface
- (2013) Elisabeth V.C. Friedrich et al. CLINICAL NEUROPHYSIOLOGY
- Neuromuscular electrical stimulation induced brain patterns to decode motor imagery
- (2013) C. Vidaurre et al. CLINICAL NEUROPHYSIOLOGY
- Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design
- (2013) Fabien Lotte et al. Frontiers in Human Neuroscience
- Transferring Subspaces Between Subjects in Brain--Computer Interfacing
- (2013) Wojciech Samek et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain–computer interface
- (2013) Karl LaFleur et al. Journal of Neural Engineering
- Whatever Works: A Systematic User-Centered Training Protocol to Optimize Brain-Computer Interfacing Individually
- (2013) Elisabeth V. C. Friedrich et al. PLoS One
- Humanlike robot hands controlled by brain activity arouse illusion of ownership in operators
- (2013) Maryam Alimardani et al. Scientific Reports
- Autocalibration and Recurrent Adaptation: Towards a Plug and Play Online ERD-BCI
- (2012) J. Faller et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- The effect of distinct mental strategies on classification performance for brain–computer interfaces
- (2012) Elisabeth V.C. Friedrich et al. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
- Brain Computer Interfaces, a Review
- (2012) Luis Fernando Nicolas-Alonso et al. SENSORS
- Brain–computer interfacing: more than the sum of its parts
- (2012) Reinhold Scherer et al. SOFT COMPUTING
- Sensorimotor rhythm-based brain–computer interface training: the impact on motor cortical responsiveness
- (2011) F Pichiorri et al. Journal of Neural Engineering
- Neural mechanisms of brain–computer interface control
- (2011) S. Halder et al. NEUROIMAGE
- Toward Unsupervised Adaptation of LDA for Brain–Computer Interfaces
- (2010) C Vidaurre et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Electroencephalographic (EEG) control of three-dimensional movement
- (2010) Dennis J McFarland et al. Journal of Neural Engineering
- Neurophysiological predictor of SMR-based BCI performance
- (2010) Benjamin Blankertz et al. NEUROIMAGE
- Exploring Large Virtual Environments by Thoughts Using a Brain–Computer Interface Based on Motor Imagery and High-Level Commands
- (2010) Fabien Lotte et al. PRESENCE-TELEOPERATORS AND VIRTUAL ENVIRONMENTS
- Towards a Cure for BCI Illiteracy
- (2009) Carmen Vidaurre et al. BRAIN TOPOGRAPHY
- Non-invasive brain–computer interface system: Towards its application as assistive technology
- (2008) Febo Cincotti et al. BRAIN RESEARCH BULLETIN
- Optimizing Spatial filters for Robust EEG Single-Trial Analysis
- (2008) Benjamin Blankertz et al. IEEE SIGNAL PROCESSING MAGAZINE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started