EEG Spectrogram Classification Employing ANN for IQ Application

The term intelligence is associated in many areas such as linguistic, mathematical, music and art. In this paper, Intelligence Quotient (IQ) is measured using Electroencephalogram (EEG) from the human brain. The EEG signals are then used to form the spectrogram images, from which a large data of Gra...

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Main Authors:	Mahfuzah, Mustafa, Mohd Nasir, Taib, Sahrim, Lias, Zunairah, Murat, Norizam, Sulaiman
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/6313/ http://umpir.ump.edu.my/id/eprint/6313/ http://umpir.ump.edu.my/id/eprint/6313/1/EEG_spectrogram_classification_employing_ANN_for_IQ_application.pdf

id	ump-6313
recordtype	eprints
spelling	ump-63132018-04-11T01:55:28Z http://umpir.ump.edu.my/id/eprint/6313/ EEG Spectrogram Classification Employing ANN for IQ Application Mahfuzah, Mustafa Mohd Nasir, Taib Sahrim, Lias Zunairah, Murat Norizam, Sulaiman TK Electrical engineering. Electronics Nuclear engineering The term intelligence is associated in many areas such as linguistic, mathematical, music and art. In this paper, Intelligence Quotient (IQ) is measured using Electroencephalogram (EEG) from the human brain. The EEG signals are then used to form the spectrogram images, from which a large data of Gray Level Co-occurrence Matrix (GLCM) texture features were extracted. Then, Principal Component Analysis (PCA) is used to reduce the big matrix, and is followed with the classification of the EEG spectrogram image in IQ application using ANN algorithm. The results are then validated based on the concept of Raven's Standard Progressive Matrices (RPM) IQ test. The results showed that the ANN is able to classify the EEG spectrogram image with 88.89% accuracy and 0.0633 MSE. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6313/1/EEG_spectrogram_classification_employing_ANN_for_IQ_application.pdf Mahfuzah, Mustafa and Mohd Nasir, Taib and Sahrim, Lias and Zunairah, Murat and Norizam, Sulaiman (2013) EEG Spectrogram Classification Employing ANN for IQ Application. In: Technological Advances In Electrical, Electronics And Computer Engineering (TAEECE), 9-11 May 2013 , Konya. pp. 199-203.. http://dx.doi.org/10.1109/TAEECE.2013.6557222
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Mahfuzah, Mustafa Mohd Nasir, Taib Sahrim, Lias Zunairah, Murat Norizam, Sulaiman EEG Spectrogram Classification Employing ANN for IQ Application
description	The term intelligence is associated in many areas such as linguistic, mathematical, music and art. In this paper, Intelligence Quotient (IQ) is measured using Electroencephalogram (EEG) from the human brain. The EEG signals are then used to form the spectrogram images, from which a large data of Gray Level Co-occurrence Matrix (GLCM) texture features were extracted. Then, Principal Component Analysis (PCA) is used to reduce the big matrix, and is followed with the classification of the EEG spectrogram image in IQ application using ANN algorithm. The results are then validated based on the concept of Raven's Standard Progressive Matrices (RPM) IQ test. The results showed that the ANN is able to classify the EEG spectrogram image with 88.89% accuracy and 0.0633 MSE.
format	Conference or Workshop Item
author	Mahfuzah, Mustafa Mohd Nasir, Taib Sahrim, Lias Zunairah, Murat Norizam, Sulaiman
author_facet	Mahfuzah, Mustafa Mohd Nasir, Taib Sahrim, Lias Zunairah, Murat Norizam, Sulaiman
author_sort	Mahfuzah, Mustafa
title	EEG Spectrogram Classification Employing ANN for IQ Application
title_short	EEG Spectrogram Classification Employing ANN for IQ Application
title_full	EEG Spectrogram Classification Employing ANN for IQ Application
title_fullStr	EEG Spectrogram Classification Employing ANN for IQ Application
title_full_unstemmed	EEG Spectrogram Classification Employing ANN for IQ Application
title_sort	eeg spectrogram classification employing ann for iq application
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6313/ http://umpir.ump.edu.my/id/eprint/6313/ http://umpir.ump.edu.my/id/eprint/6313/1/EEG_spectrogram_classification_employing_ANN_for_IQ_application.pdf
first_indexed	2023-09-18T22:01:58Z
last_indexed	2023-09-18T22:01:58Z
_version_	1777414458042220544

EEG Spectrogram Classification Employing ANN for IQ Application

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