Scopus
YÖKSİS Eşleşti
A New Approach on HCI Extracting Conscious Jaw Movements Based on EEG Signals Using Machine Learnings
Journal of Medical Systems · Eylül 2018
YÖKSİS Kayıtları
A New Approach on HCI Extracting Conscious Jaw Movements Based on EEG Signals Using Machine Learnings
Journal of Medical Systems · 2018 SCI-Expanded
PROFESÖR MUHAMMET SERDAR BAŞÇIL →
Makale Bilgileri
DergiJournal of Medical Systems
Yayın TarihiEylül 2018
Cilt / Sayfa42
Scopus ID2-s2.0-85051220216
Özet
Machine computer interfaces (MCI) are assistive technologies enabling paralyzed peoples to control and communicate their environments. This study aims to discover and represents a new approach on MCI using left/right motions of voluntary jaw movements stored in electroencephalogram (EEG). It extracts brain electrical activities on EEG produced by voluntary jaw movements and converts these activities to machine control commands. Jaw-operated machine computer interface is a new way of MCI entitled as jaw machine interface (JMI) provides new functionality for paralyzed people to assist available environmental devices using their jaw motions. In this article, root mean square (RMS) and standard deviation (STD) features of signals are extracted and hemispherical pattern changes are computed and compared as offline analysis approach. A statistical algorithm, principle component analysis (PCA), is used to reduce high dimensional data and two types of machine learning algorithms which are linear discriminant analysis (LDA) and support vector machine (SVM) incorporating k-fold cross validation technique are employed to identify pattern changes by utilizing the features of horizontal jaw movements stored in EEG.
Yazarlar (1)
1
Muhammet Serdar Bascil
Anahtar Kelimeler
EEG
Feature extraction
Jaw machine interface (JMI)
Machine learning
Kurumlar
Bozok Üniversitesi
Yozgat Turkey
Metrikler
13
Atıf
1
Yazar
4
Anahtar Kelime