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A New Approach on HCI Extracting Conscious Jaw Movements Based on EEG Signals Using Machine Learnings

Journal of Medical Systems · Eylül 2018

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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
Prof. Dr. MUHAMMET SERDAR BAŞÇIL →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 14 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
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2014 ISSN: 0148-5598 SCI-Expanded 8 atıf
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Design of Web Based Fuzzy Input Expert System for the Analysis of Serology Laboratory Tests
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A Study on Hepatitis Disease Diagnosis Using Probabilistic Neural Network
2012 ISSN: 0148-5598 SCI-Expanded
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A New Data Preparation Method Based on Clustering Algorithms for Diagnosis Systems of Heart and Diabetes Diseases
2014 ISSN: 0148-5598 SCI-Expanded Q2
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A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm
2011 ISSN: 0148-5598 SCI-Expanded
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2011 ISSN: 0148-5598 SCI-Expanded 20 atıf Q1
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Using Elman Recurrent Neural Networks with Conjugate Gradient Algorithm in Determining the Anesthetic the Amount of Anesthetic Medicine to Be Applied
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Design and Construction of a Microcontroller Based Ventilator Synchronized with Pulse Oximeter
2016 ISSN: 0148-5598 SCI-Expanded
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The Use of Stepper Motor-Controlled Proportional Valve for Fio2 Calculation in the Ventilator and its Control with Fuzzy Logic
2017 ISSN: 0148-5598 SCI-Expanded
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An Artificial Neural Network Classification Approach for use the Ultrasound in Physiotherapy
2011 ISSN: 0148-5598 SCI-Expanded
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Estimation of Medicine Amount Used Anesthesia by an Artificial Neural Network
2010 ISSN: 0148-5598 SCI-Expanded 2 atıf
Prof. Dr. RÜŞTÜ GÜNTÜRKÜN →
A New Approach on HCI Extracting Conscious Jaw Movements Based on EEG Signals Using Machine Learnings
2018 ISSN: 0148-5598 SCI-Expanded
Prof. Dr. MUHAMMET SERDAR BAŞÇIL →
Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques
2019 ISSN: 0148-5598 SCI-Expanded Q1
Doç. Dr. ALİ YAŞAR →

Makale Bilgileri

Dergi Journal of Medical Systems
ISSN01485598
Yayın TarihiEylül 2018
Cilt / Sayfa42
DOI10.1007/s10916-018-1027-1
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
Scimago Dergi (ISSN Eşleşmesi)
Journal of Medical Systems
Q1
SJR Skoru0,962
H-Index120
YayıncıSpringer New York
ÜlkeUnited States
Information Systems (Q1)
Medicine (miscellaneous) (Q1)
Health Informatics (Q2)
Health Information Management (Q2)
Dergi sayfasına git

Metrikler

13
Atıf
1
Yazar
4
Anahtar Kelime

Sistemimizdeki Yazarlar

MB
MUHAMMET SERDAR BAŞÇIL
Prof. Dr.

Hızlı Erişim

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