High-resolution EEG techniques for brain–computer interface applications
نویسندگان
چکیده
منابع مشابه
High-resolution EEG techniques for brain-computer interface applications.
High-resolution electroencephalographic (HREEG) techniques allow estimation of cortical activity based on non-invasive scalp potential measurements, using appropriate models of volume conduction and of neuroelectrical sources. In this study we propose an application of this body of technologies, originally developed to obtain functional images of the brain's electrical activity, in the context ...
متن کاملVisualization Techniques for Applications of High-resolution Numerical Weather Models
Visualization is a method of computing by which the enormous bandwidth and processing power of the human visual (eye-brain) system becomes an integral part of extracting knowledge from complex data. In that regard, our previous work has discussed methods of appropriate mapping of user goals to the design of pictorial content by considering both the underlying data characteristics and the (human...
متن کاملHigh Performance EEG Analysis for Brain Interface
A successful brain interface (BI) system enables individuals with severe motor disabilities to control objects in their environment (such as a light switch, neural prosthesis or computer) by using Dilly their braia sigaals. SlK" a system IReastlra specific feat1lra of a IJe""'S bnUt sipal dlat relate to his or her intent to affect control, then translates them into coatnli siluk that are used t...
متن کاملHigh-Resolution Movement EEG Classification
The aim of the contribution is to analyze possibilities of high-resolution movement classification using human EEG. For this purpose, a database of the EEG recorded during right-thumb and little-finger fast flexion movements of the experimental subjects was created. The statistical analysis of the EEG was done on the subject's basis instead of the commonly used grand averaging. Statistically si...
متن کاملEEG Feature Extraction Using Wavelet Techniques For Brain Computer Interface
The aim of this study was to compare methods for feature extraction and classification of EEG signals for a brain–computer interface (BCI) according to different mental task conditions. EEG data was obtained either from BCI data base or from EEG experimental recording. There were different methods for feature Extraction like temporal methods, frequential methods, and Time-frequency representati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Neuroscience Methods
سال: 2008
ISSN: 0165-0270
DOI: 10.1016/j.jneumeth.2007.06.031