Andrea Kübler focuses on Brain–computer interface, Electroencephalography, Audiology, Neuroscience and Amyotrophic lateral sclerosis. Andrea Kübler undertakes multidisciplinary studies into Brain–computer interface and Spelling in her work. Her Electroencephalography research incorporates elements of Neurophysiology, Physical medicine and rehabilitation, Developmental psychology, Locked-in syndrome and Session.
Her work deals with themes such as Attention span, Distraction, Communication and Set, which intersect with Audiology. Her work focuses on many connections between Neuroscience and other disciplines, such as Biofeedback, that overlap with her field of interest in Feature extraction and Cerebral palsy. The concepts of her Amyotrophic lateral sclerosis study are interwoven with issues in Paralysis, Psychiatry, Communication Aids for Disabled and Quality of life.
Brain–computer interface, Electroencephalography, Audiology, Neuroscience and Human–computer interaction are her primary areas of study. Her research investigates the link between Brain–computer interface and topics such as Usability that cross with problems in User-centered design. She usually deals with Electroencephalography and limits it to topics linked to Cognition and Consciousness.
Andrea Kübler interconnects Developmental psychology and Communication in the investigation of issues within Audiology. Andrea Kübler focuses mostly in the field of Neuroscience, narrowing it down to topics relating to Amyotrophic lateral sclerosis and, in certain cases, Psychiatry. Her Human–computer interaction research includes themes of Multimedia, The Internet and End user.
Her primary scientific interests are in Brain–computer interface, Electroencephalography, Cognitive psychology, Human–computer interaction and Physical medicine and rehabilitation. Andrea Kübler studies Brain–computer interface, namely Motor imagery. Her study in Electroencephalography is interdisciplinary in nature, drawing from both Audiology, Physical functioning, Neurochemistry, Stimulation and Session.
The study incorporates disciplines such as Stimulus modality, Neuroscience, Event-related potential and Artificial intelligence in addition to Audiology. Her User-centered design study in the realm of Human–computer interaction connects with subjects such as Training study and Headset. Her Physical medicine and rehabilitation research is multidisciplinary, incorporating perspectives in Relaxation, Progressive muscle relaxation, Cognitive rehabilitation therapy, Stroke and Wheelchair.
Her primary areas of study are Brain–computer interface, Electroencephalography, Cognition, Session and Speech recognition. Her research in Brain–computer interface intersects with topics in Information transfer, Gaze, Usability, Human–computer interaction and End user. Her Information transfer research is multidisciplinary, relying on both Natural sounds, Neuroscience and Mood.
Her Electroencephalography study incorporates themes from Rehabilitation, Cognitive rehabilitation therapy, Physical medicine and rehabilitation, State and Stroke. As a part of the same scientific study, Andrea Kübler usually deals with the Cognition, concentrating on Minimally conscious state and frequently concerns with Oddball paradigm, Event-related potential and Audiology. Andrea Kübler has researched Session in several fields, including Sensory stimulation therapy, Wheelchair and Communication.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A spelling device for the paralysed
N. Birbaumer;N. Ghanayim;T. Hinterberger;I. Iversen.
Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
José del R. Millán;Rüdiger Rupp;Gernot Müller-Putz;Rod Murray-Smith.
Frontiers in Neuroscience (2010)
The thought translation device (TTD) for completely paralyzed patients
N. Birbaumer;A. Kubler;N. Ghanayim;T. Hinterberger.
international conference of the ieee engineering in medicine and biology society (2000)
Brain-computer communication: unlocking the locked in.
Andrea Kübler;Boris Kotchoubey;Jochen Kaiser;Jonathan R. Wolpaw.
Psychological Bulletin (2001)
A P300-based brain–computer interface for people with amyotrophic lateral sclerosis
F. Nijboer;E.W. Sellers;J. Mellinger;M.A. Jordan.
Clinical Neurophysiology (2008)
Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.
A. Kübler;F. Nijboer;J. Mellinger;T. M. Vaughan.
A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation
I. Iturrate;J.M. Antelis;A. Kubler;J. Minguez.
IEEE Transactions on Robotics (2009)
Neurophysiological Predictor of SMR-based BCI Performance
Benjamin Blankertz;Claudia Sannelli;Sebastian Halder;Eva M. Hammer.
Psychobiology of altered states of consciousness.
Dieter Vaitl;Niels Birbaumer;John Gruzelier;Graham A. Jamieson.
Psychological Bulletin (2005)
An MEG-based brain-computer interface (BCI)
Jürgen Mellinger;Gerwin Schalk;Gerwin Schalk;Christoph Braun;Hubert Preissl;Hubert Preissl.
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: