2023 - Research.com Psychology in Germany Leader Award
2022 - Research.com Best Female Scientist Award
Andrea Kübler mainly investigates Brain–computer interface, Electroencephalography, Audiology, Neuroscience and Locked-in syndrome. Andrea Kübler combines Brain–computer interface and Spelling in her research. Her Electroencephalography study integrates concerns from other disciplines, such as Biofeedback, Physical medicine and rehabilitation, Neurophysiology and Amyotrophic lateral sclerosis.
Her Audiology research is multidisciplinary, incorporating elements of Attention span, Sentence, Electrodiagnosis and Communication. Her Neuroscience research integrates issues from Cursor, Predictability and Time course. Her Locked-in syndrome research incorporates elements of Stimulus and Information transfer.
Andrea Kübler mainly focuses on Brain–computer interface, Electroencephalography, Neuroscience, Audiology and Human–computer interaction. Her Brain–computer interface course of study focuses on Usability and User-centered design. Andrea Kübler interconnects Biofeedback and Session in the investigation of issues within Electroencephalography.
Her Neuroscience study deals with Amyotrophic lateral sclerosis intersecting with Psychiatry. Her Audiology research includes themes of Developmental psychology and Communication. Her Human–computer interaction study incorporates themes from Multimedia, The Internet and End user.
Andrea Kübler focuses on Brain–computer interface, Electroencephalography, Physical medicine and rehabilitation, Cognitive psychology and Human–computer interaction. Her Brain–computer interface study is related to the wider topic of Neuroscience. Her biological study spans a wide range of topics, including Session, Stimulation, Rhythm and Audiology.
Her studies in Physical medicine and rehabilitation integrate themes in fields like Relaxation, Progressive muscle relaxation, Cognitive rehabilitation therapy and Stroke. Her study on Cognitive psychology also encompasses disciplines like
Her primary scientific interests are in Brain–computer interface, Electroencephalography, Cognition, Session and Speech recognition. Her Brain–computer interface research includes elements of Information transfer, Gaze, Usability, Human–computer interaction and End user. The concepts of her Information transfer study are interwoven with issues in Natural sounds, Neuroscience and Mood.
Brain activity and meditation is the focus of her Electroencephalography research. In her study, Oddball paradigm, Event-related potential and Audiology is inextricably linked to Minimally conscious state, which falls within the broad field of Cognition. Her Session research focuses on Communication and how it connects with Visualization, Between-group design and Rhythm.
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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)
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)
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)
Neurophysiological Predictor of SMR-based BCI Performance
Benjamin Blankertz;Claudia Sannelli;Sebastian Halder;Eva M. Hammer.
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)
Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.
A. Kübler;F. Nijboer;J. Mellinger;T. M. Vaughan.
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.
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