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Analyzing EEG Signals Using Decision Trees: A Study of Modulation of Amplitude
Joint Authors
Bastos, Narusci S.
Adamatti, Diana F.
Marques, Bianca P.
Billa, Cleo Z.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
An electroencephalogram (EEG) is a test that records electrical activity of the brain using electrodes attached to the scalp, and it has recently been used in conjunction with BMI (Brain-Machine Interface).
Currently, the analysis of the EEG is visual, using graphic tools such as topographic maps.
However, this analysis can be very difficult, so in this work, we apply a methodology of EEG analysis through data mining to analyze two different band frequencies of the brain signals (full band and Beta band) during an experiment where visually impaired and sighted individuals recognize spatial objects through the sense of touch.
In this paper, we present details of the proposed methodology and a case study using decision trees to analyze EEG signals from visually impaired and sighted individuals during the execution of a spatial ability activity.
In our experiment, the hypothesis was that sighted individuals, even if they are blindfolded, use vision to identify objects and that visually impaired people use the sense of touch to identify the same objects.
American Psychological Association (APA)
Bastos, Narusci S.& Marques, Bianca P.& Adamatti, Diana F.& Billa, Cleo Z.. 2020. Analyzing EEG Signals Using Decision Trees: A Study of Modulation of Amplitude. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1138745
Modern Language Association (MLA)
Bastos, Narusci S.…[et al.]. Analyzing EEG Signals Using Decision Trees: A Study of Modulation of Amplitude. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1138745
American Medical Association (AMA)
Bastos, Narusci S.& Marques, Bianca P.& Adamatti, Diana F.& Billa, Cleo Z.. Analyzing EEG Signals Using Decision Trees: A Study of Modulation of Amplitude. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1138745
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138745