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Detecting and comparing the onset of self-paced and cue-based finger movements from EEG signals
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).
University of Belgrade.
2015 (English)In: 7th Annual International IEEE Conference on Computer Science and Electronic Engineering (CEEC), Colchester, UK: IEEE conference proceedings, 2015, Vol. 7, 157-160 p.Conference paper (Refereed)
Abstract [en]

We asked four subjects to perform the task of pressing a taster button with their thumbs, while their EEG recordings were obtained, in order to determine the probability of the subjects' intention to make the movement in comparison to the idle state. Humans usually spontaneously decide when to initiate movements to complete daily-life tasks, but sometimes our movements can also be externally triggered. Thus, the subjects first performed motor tasks at the instants defined by the animation shown on the screen and second, the subjects performed self-initiated movements. In this paper, we study if there is a difference in the classification results and coherence measures of EEG signals in these two paradigms. We used the Support Vector Machine (SVM) classifier on features extracted by applying Burg's algorithm to EEG signals, which arose as a solution with high accuracy.

Place, publisher, year, edition, pages
Colchester, UK: IEEE conference proceedings, 2015. Vol. 7, 157-160 p.
Keyword [en]
Brain-Computer Interface, EEG, Support Vector Machines, Neural Signal Processing
National Category
Medical and Health Sciences Natural Sciences Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-182093DOI: 10.1109/CEEC.2015.7332717ISI: 000377258900029ScopusID: 2-s2.0-84963641796OAI: oai:DiVA.org:kth-182093DiVA: diva2:903158
Conference
7th Annual International IEEE Conference on Computer Science and Electronic Engineering (CEEC)
Note

QC 20160307

Available from: 2016-02-14 Created: 2016-02-14 Last updated: 2016-07-06Bibliographically approved

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Publisher's full textScopushttp://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7332717&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7332717

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ReferencesLink to record
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