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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title: Implementation of Artificial Communication Channel for Motor Patients
Authors Name: Priyanka Chaturvedi , Silky Pareyani
Unique Id: IJSDR1811003
Published In: Volume 3 Issue 11, December-2018
Abstract: Brain Computer Interface establishes a direct communication pathway between human brain and outside world. This capability of Brain Computer Interface system enables patients suffering from severe motor disorder or complete body paralysis to control variety of applications like, controlling a cursor on computer screen, controlling the movement of a robotic or a wheel arm chair and many more. The efficiency of a Brain Computer Interface system completely rely on efficient pre-processing and classification algorithms. In present work, a methodology of feature extraction and classification of Electroencephalogram signals is proposed for implementation of Brain Computer Interface for physically disabled. The EEG signal under consideration has been recorded from seven different subjects performing five different mental tasks. Time Frequency Energy Distribution spectrum is computed from the coefficient obtained from Hilbert Huang transform of Electroencephalogram signals. Four statistical parameters are calculated from the TFED of signals as features. For classification, Support Vector Machine classifier model is employed. The results of the classification show efficacy of present methodology of feature extraction and classification for implementation of Brain Computer Interface.
Keywords: Brain Computer Interface (BCI), Electroencephalogram (EEG), Hilbert Huang Transform (HHT), Support Vector Machine (SVM), Classification
Cite Article: "Implementation of Artificial Communication Channel for Motor Patients", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.9 - 17, December-2018, Available :http://www.ijsdr.org/papers/IJSDR1811003.pdf
Downloads: 000337067
Publication Details: Published Paper ID: IJSDR1811003
Registration ID:180723
Published In: Volume 3 Issue 11, December-2018
DOI (Digital Object Identifier):
Page No: 9 - 17
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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