DocumentCode :
642845
Title :
Structural features in brain signals and weak brain connectivity
Author :
Jovanovic, Aleksandra ; Perovic, Aleksandar
Author_Institution :
Group for Intell. Syst., Univ. of Belgrade, Belgrade, Serbia
fYear :
2013
fDate :
26-28 Sept. 2013
Firstpage :
239
Lastpage :
243
Abstract :
We are involved in the investigation and development of methods for automatic localization, extraction, analysis and comparison of features in spectra of biological signals. With diverse applications, different feature attributes turn out as significant and as characteristics of the investigated phenomena. Individual tunes and music representation in brain signals have attracted our attention since early nineties, including the possibility to use inner tunes in the brain for the Brain Computer Interfaces (BCI). These were some of the motives for the present study, but applicability of the developed algorithms is broader.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; medical signal processing; EEG; algorithms; automatic localization; biological signals; brain computer interfaces; brain signals; electroencephalography; feature analysis; feature comparison; feature extraction; music representation; structural features; weak brain connectivity; Brain-computer interfaces; Feature extraction; Indexes; Noise; Spectral analysis; Spectrogram; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Informatics (SISY), 2013 IEEE 11th International Symposium on
Conference_Location :
Subotica
Print_ISBN :
978-1-4799-0303-0
Type :
conf
DOI :
10.1109/SISY.2013.6662578
Filename :
6662578
Link To Document :
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