Journal ArticleDOI
Single-trial discrimination of type and speed of wrist movements from EEG recordings.
Reads0
Chats0
TLDR
The task parameter speed can be discriminated in single-trial EEG traces with greater accuracy than the type of movement when tasks are executed at the same joint.About:
This article is published in Clinical Neurophysiology.The article was published on 2009-08-01. It has received 119 citations till now.read more
Citations
More filters
Journal ArticleDOI
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,Claudio Giugliemma,Michael Tangermann,Carmen Vidaurre,Febo Cincotti,Andrea Kübler,Robert Leeb,Christa Neuper,Klaus-Robert Müller,Donatella Mattia +12 more
TL;DR: This paper focuses on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT) and identifies four application areas where disabled individuals could greatly benefit from advancements inBCI technology, namely, “Communication and Control”, ‘Motor Substitution’, ”Entertainment” and “Motor Recovery”.
Journal ArticleDOI
A comprehensive review of EEG-based brain-computer interface paradigms.
TL;DR: The current review evaluates EEG-based BCI paradigms regarding their advantages and disadvantages from a variety of perspectives, and various EEG decoding algorithms and classification methods are evaluated.
Journal ArticleDOI
EEG Source Imaging Enhances the Decoding of Complex Right-Hand Motor Imagery Tasks
TL;DR: This study extends previous EEG source imaging work to decoding natural hand/wrist manipulations by applying a novel technique to classifying four complex motor imaginations of the right hand: flexion, extension, supination, and pronation, and suggests ESI is able to enhance BCI performance of decoding complex right-hand motor imagery tasks.
Journal ArticleDOI
Upper limb movements can be decoded from the time-domain of low-frequency EEG.
TL;DR: The encoding of single upper limb movements in the time-domain of low-frequency electroencephalography signals is analyzed and classifier patterns indicate that mainly premotor areas, primary motor cortex, somatosensory cortex and posterior parietal cortex convey discriminative movement information.
Journal ArticleDOI
Decoding Individual Finger Movements from One Hand Using Human EEG Signals
TL;DR: Movement-related spectral structures and their changes caused by finger movements in EEG are suggested and the feasibility of discriminating finger movements from one hand using EEG is demonstrated, promising to facilitate the development of BCIs with rich control signals using noninvasive technologies.
References
More filters
Journal Article
The ten-twenty electrode system of the international federation
TL;DR: During the First International EEG Congress, London in 1947, it was recommended that Dr. Herbert H. Jasper study methods to standardize the placement of electrodes used in EEG (Jasper 1958).
Journal ArticleDOI
Brain-computer interfaces for communication and control.
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials
TL;DR: The analyses suggest that this communication channel can be operated accurately at the rate of 0.20 bits/sec, which means that subjects can communicate 12.0 bits, or 2.3 characters, per min.
Journal ArticleDOI
Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks
TL;DR: 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.
Related Papers (5)
Event-related EEG/MEG synchronization and desynchronization: basic principles.
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
Arnaud Delorme,Scott Makeig +1 more