Journal ArticleDOI
Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks
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TLDR
The discrimination between the four motor imagery tasks based on classification of single EEG trials improved when, in addition to event-related desynchronization (ERD), event- related synchronization (ERS) patterns were induced in at least one or two tasks.About:
This article is published in NeuroImage.The article was published on 2006-05-15. It has received 1402 citations till now. The article focuses on the topics: Sensorimotor rhythm & Motor imagery.read more
Citations
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Journal ArticleDOI
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Benjamin Blankertz,Ryota Tomioka,S. Lemm,Motoaki Kawanabe,Klaus-Robert Müller,Klaus-Robert Müller +5 more
TL;DR: The theoretical background of the common spatial pattern (CSP) algorithm, a popular method in brain-computer interface (BCD research), is elucidated and tricks of the trade for achieving a powerful CSP performance are revealed.
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Brain–machine interfaces: past, present and future
TL;DR: This paper discusses designing a fully implantable biocompatible recording device, further developing real-time computational algorithms, introducing a method for providing the brain with sensory feedback from the actuators, and designing and building artificial prostheses that can be controlled directly by brain-derived signals.
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Brain Computer Interfaces, a Review
TL;DR: The state-of-the-art of BCIs are reviewed, looking at the different steps that form a standard BCI: signal acquisition, preprocessing or signal enhancement, feature extraction, classification and the control interface.
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The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.
TL;DR: It is proposed that the key to quick efficiency in the BBCI system is its flexibility due to complex but physiologically meaningful features and its adaptivity which respects the enormous inter-subject variability.
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Spectral changes in cortical surface potentials during motor movement.
Kai J. Miller,Eric C. Leuthardt,Gerwin Schalk,Rajesh P. N. Rao,Nicholas Anderson,Daniel W. Moran,John W. Miller,Jeffrey G. Ojemann +7 more
TL;DR: Electrocorticographic signals associated with motor movement are quantified across 22 subjects with subdural electrode arrays placed for identification of seizure foci and sensorimotor representation was found to be somatotopic, localized in stereotactic space to rolandic cortex, and typically followed the classic homunculus with limited extrarolandic representation.
References
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A Coefficient of agreement for nominal Scales
TL;DR: In this article, the authors present a procedure for having two or more judges independently categorize a sample of units and determine the degree, significance, and significance of the units. But they do not discuss the extent to which these judgments are reproducible, i.e., reliable.
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Jonathan R. Wolpaw,Jonathan R. Wolpaw,Niels Birbaumer,Niels Birbaumer,Dennis J. McFarland,Gert Pfurtscheller,Theresa M. Vaughan +6 more
TL;DR: With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.
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Event-related EEG/MEG synchronization and desynchronization: basic principles.
TL;DR: Quantification of ERD/ERS in time and space is demonstrated on data from a number of movement experiments, whereby either the same or different locations on the scalp can display ERD and ERS simultaneously.
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EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
TL;DR: In this article, it is suggested to adjust the frequency windows of alpha and theta for each subject by using individual alpha frequency as an anchor point, based on this procedure, a consistent interpretation of a variety of findings is made possible.
Electroencephalography: Basic Principles, Clinical Applications and Related Fields, Fourth Edition
TL;DR: Historical aspects introduction to the neurophysiological basis of the EEG and DC potentials cellular substrates of spontaneous and evoked brain rhythms dynamics of EEG as signals and neuronal populations are introduced.