Beyin Bilgisayar Arayüzü Uygulamalari için Dinlenme, Harekete Niyet ve Hareket Ayırma
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Brain-computer interface (BCI) is a system that provides a means to control prosthesis, wheelchair, or similar devices using brain waves without direct motor nervous system involvement. For this purpose, brain waves obtained from multiple electrodes placed on the scalp (EEG, Electroencephalogram) are used. Emotiv Epoc used to obtain EEG signals is a low-cost device and has real-time applications. The aim of this study is the detection of rest, imagination and real movement using EEG signals obtained by Emotiv Epoc headset. As a result, As a result, the data obtained from 39 trials from a female subject were classified resting, motion imagination and movement, according to 97.4% accuracy by using the statistical features of distortion, logarithm energy entropy, energy, Shannon entropy and kurtosis. In this study, it has been shown that this system can be remarkably successful for BCI applications. © 2019 Elsevier B.V., All rights reserved.
Description
Karakullukcu, Nedime/0000-0002-1698-3705;
ORCID
Keywords
Brain Computer Interface, EEG, EEG Signal Processing, First-Order Statistics Features, Motor Imagery, Biomedical Engineering, Computer Control Systems, Electroencephalography, Signal Processing, Brain-Computer Interface Applications, EEG Signal Processing, First-Order Statistics, Low-Cost Devices, Motor Imagery, Multiple Electrodes, Real-Time Application, Statistical Features, Brain Computer Interface
Fields of Science
03 medical and health sciences, 0302 clinical medicine
Citation
WoS Q
N/A
Scopus Q
N/A

OpenCitations Citation Count
2
Source
-- 2018 Medical Technologies National Congress, TIPTEKNO 2018 -- Magusa -- 144203
Volume
Issue
Start Page
1
End Page
4
PlumX Metrics
Citations
CrossRef : 1
Scopus : 2
Captures
Mendeley Readers : 6
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