Interaction of BCI with the underlying neurological conditions in patients: pros and cons
暂无分享,去创建一个
Aleksandra Vuckovic | Christoph Guger | Disha Gupta | Jaime A. Pineda | C. Guger | J. Pineda | A. Vučković | D. Gupta | Kristen LaMarca | Kristen LaMarca
[1] A. Cichocki,et al. Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives , 2010, Progress in Neurobiology.
[2] Konstantinos Priftis,et al. Effectiveness of the P3-speller in brain–computer interfaces for amyotrophic lateral sclerosis patients: a systematic review and meta-analysis , 2014, Front. Neuroeng..
[3] Vivek Prabhakaran,et al. Characterizing relationships of DTI, fMRI, and motor recovery in stroke rehabilitation utilizing brain-computer interface technology , 2014, Front. Neuroeng..
[4] P. London. Injury , 1969, Definitions.
[5] Cuntai Guan,et al. Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke , 2014, Front. Neuroeng..
[6] F. Babiloni,et al. Investigating the effects of a sensorimotor rhythm-based BCI training on the cortical activity elicited by mental imagery , 2014, Journal of neural engineering.
[7] J. Castellote,et al. Incidence of Spinal Cord Injury Worldwide: A Systematic Review , 2010, Neuroepidemiology.
[8] Thierry Keller,et al. Neuroprostheses for grasping , 2002, Neurological research.
[9] Dean J Krusienski,et al. Brain-computer interfaces in medicine. , 2012, Mayo Clinic proceedings.
[10] Andrej M. Savić,et al. Feasibility of a Hybrid Brain-Computer Interface for Advanced Functional Electrical Therapy , 2014, TheScientificWorldJournal.
[11] Vivek Prabhakaran,et al. Changes in functional brain organization and behavioral correlations after rehabilitative therapy using a brain-computer interface , 2014, Front. Neuroeng..
[12] Miguel A. L. Nicolelis,et al. Frontiers in Neuroengineering , 2007 .
[13] Dennis J. McFarland,et al. Brain–computer interfaces for communication and control , 2002, Clinical Neurophysiology.
[14] Vivek Prabhakaran,et al. Case report: post-stroke interventional BCI rehabilitation in an individual with preexisting sensorineural disability , 2014, Front. Neuroeng..
[15] R Rupp,et al. Neuroprosthetics of the upper extremity--clinical application in spinal cord injury and challenges for the future. , 2007, Acta neurochirurgica. Supplement.
[16] Y. Höller,et al. Functional brain reorganization after spinal cord injury: Systematic review of animal and human studies , 2013, Brain Research.
[17] Aleksandra Vuckovic,et al. Dynamic Oscillatory Signatures of Central Neuropathic Pain in Spinal Cord Injury , 2014, The journal of pain : official journal of the American Pain Society.
[18] D J McFarland,et al. Brain-computer interface research at the Wadsworth Center. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[19] E. Donchin,et al. A P300-based brain–computer interface: Initial tests by ALS patients , 2006, Clinical Neurophysiology.
[20] Gernot R. Müller-Putz,et al. Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control , 2014, Front. Neuroeng..
[21] P. Brugger,et al. What disconnection tells about motor imagery: evidence from paraplegic patients. , 2005, Cerebral cortex.
[22] G. Hankey,et al. The global and regional burden of stroke. , 2013, The Lancet. Global health.
[23] Klaus-Robert Müller,et al. CSP patches: an ensemble of optimized spatial filters. An evaluation study , 2011, Journal of neural engineering.
[24] Maurizio Corbetta,et al. The effect of age on human motor electrocorticographic signals and implications for brain–computer interface applications , 2011, Journal of neural engineering.
[25] 敦命 鈴木. ミラーニューロン(Mirror neuron) , 2010 .
[26] Stefano Federici,et al. Toward functioning and usable brain–computer interfaces (BCIs): A literature review , 2012, Disability and rehabilitation. Assistive technology.
[27] M. Snyder. Movement Therapy , 1988, The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses.
[28] A Kübler,et al. A P 300-based brain-computer interface for people with amyotrophic lateral sclerosis , 2010 .
[29] José del R. Millán,et al. Brain-Computer Interfaces , 2020, Handbook of Clinical Neurology.
[30] Motoaki Kawanabe,et al. Stationary common spatial patterns for brain–computer interfacing , 2012, Journal of neural engineering.
[31] G. Pfurtscheller,et al. An SSVEP BCI to Control a Hand Orthosis for Persons With Tetraplegia , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[32] Vera Kaiser,et al. Hybrid brain-computer interfaces and hybrid neuroprostheses for restoration of upper limb functions in individuals with high-level spinal cord injury , 2013, Artif. Intell. Medicine.
[33] N. Birbaumer,et al. Conscious perception of brain states: mental strategies for brain–computer communication , 2003, Neuropsychologia.
[34] Akio Kimura,et al. Brain-computer interface with somatosensory feedback improves functional recovery from severe hemiplegia due to chronic stroke , 2014, Front. Neuroeng..
[35] José del R. Millán,et al. Context-Based Filtering for Assisted Brain-Actuated Wheelchair Driving , 2007, Comput. Intell. Neurosci..
[36] T. Olsen,et al. Outcome and time course of recovery in stroke. Part I: Outcome. The Copenhagen Stroke Study. , 1995, Archives of physical medicine and rehabilitation.
[37] F. Cincotti,et al. Eye-gaze independent EEG-based brain–computer interfaces for communication , 2012, Journal of neural engineering.
[38] R Rupp,et al. Think2grasp - BCI-Controlled Neuroprosthesis for the Upper Extremity , 2013, Biomedizinische Technik. Biomedical engineering.
[39] Hendrik Van Brussel,et al. Shared control for intelligent wheelchairs: an implicit estimation of the user intention , 2003 .
[40] Dario Farina,et al. Movement-related cortical potentials in paraplegic patients: abnormal patterns and considerations for BCI-rehabilitation , 2014, Front. Neuroeng..
[41] J. Pineda,et al. Learning to control brain rhythms: making a brain-computer interface possible , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[42] Brice Rebsamen,et al. A brain controlled wheelchair to navigate in familiar environments. , 2010, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[43] Matthias Scheutz,et al. What we can and cannot (yet) do with functional near infrared spectroscopy , 2014, Front. Neurosci..
[44] G. Pfurtscheller,et al. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. , 2005, Brain research. Cognitive brain research.
[45] Brittany M. Young,et al. Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface device , 2014, Front. Neuroeng..
[46] C Grozea,et al. On the feasibility of using motor imagery EEG-based brain–computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post-trial follow-up , 2012, Spinal Cord.
[47] J. Thomas Mortimer,et al. The response of the myelinated nerve fiber to short duration biphasic stimulating currents , 2006, Annals of Biomedical Engineering.
[48] Daniel Graves,et al. 2009 Review and Revisions of the International Standards for the Neurological Classification of Spinal Cord Injury , 2010, The journal of spinal cord medicine.
[49] E. Friedrich,et al. Neurorehabilitation of social dysfunctions: a model-based neurofeedback approach for low and high-functioning autism , 2014, Front. Neuroeng..
[50] R. Ortner,et al. Accuracy of a P300 Speller for People with Motor Impairments: A Comparison , 2011 .
[51] E. John,et al. Evoked-Potential Correlates of Stimulus Uncertainty , 1965, Science.
[52] B. Rockstroh,et al. Operant control of EEG and event-related and slow brain potentials , 1984, Biofeedback and self-regulation.
[53] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[54] N. Birbaumer,et al. The Influence of Psychological State and Motivation on Brain–Computer Interface Performance in Patients with Amyotrophic Lateral Sclerosis – a Longitudinal Study , 2010, Front. Neuropharma..
[55] Jonathan R. Wolpaw,et al. Brain–Computer Interfaces: Something New under the Sun , 2012 .
[56] R. Rupp. Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury , 2014, Front. Neuroeng..
[57] E. Friedrich,et al. Brain–computer interface game applications for combined neurofeedback and biofeedback treatment for children on the autism spectrum , 2014, Front. Neuroeng..
[58] Gernot R. Müller-Putz,et al. Discrimination of Motor Imagery-Induced EEG Patterns in Patients with Complete Spinal Cord Injury , 2009, Comput. Intell. Neurosci..
[59] Hung T. Nguyen,et al. Experimental study on a smart wheelchair system using a combination of stereoscopic and spherical vision , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[60] John Williamson,et al. User-centered design in brain-computer interfaces - A case study , 2013, Artif. Intell. Medicine.
[61] Marie Johnston,et al. Mental practice with motor imagery in stroke recovery: randomized controlled trial of efficacy , 2011, Brain : a journal of neurology.
[62] L. Cohen,et al. Neuroplasticity in the context of motor rehabilitation after stroke , 2011, Nature Reviews Neurology.
[63] Vera Kaiser,et al. Development of a non-invasive, multifunctional grasp neuroprosthesis and its evaluation in an individual with a high spinal cord injury , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[64] W. Dimpfel,et al. Influences of trospium chloride and oxybutynin on quantitative EEG in healthy volunteers , 2004, European Journal of Clinical Pharmacology.
[65] Grant D. Huang,et al. Robot-assisted therapy for long-term upper-limb impairment after stroke. , 2010, The New England journal of medicine.
[66] José del R. Millán,et al. The role of shared-control in BCI-based telepresence , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.
[67] F. Piccione,et al. P300-based brain computer interface: Reliability and performance in healthy and paralysed participants , 2006, Clinical Neurophysiology.
[68] Cuntai Guan,et al. Brain-Computer Interface in Stroke Rehabilitation , 2013, J. Comput. Sci. Eng..
[69] G. Pfurtscheller,et al. ‘Thought’ – control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia , 2003, Neuroscience Letters.
[70] D. Sines. Towards integration. , 1990, Nursing.