EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN

Firing of neurons in the brain created Electroencephalographic (EEG) signals, which applicable for a non-invasive measure of brain functioning. EEG signals is one of the main sources on the implementation of Brain-Computer Interface (BCI) technology. It is a non-muscle communication link between b...

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Main Author: WANG, CHIA WOON
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20103 /
Published: IRC 2019
Online Access: http://utpedia.utp.edu.my/20103/1/Chia%20Woon_Final%20Report.pdf
http://utpedia.utp.edu.my/20103/
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id utp-utpedia.20103
recordtype eprints
spelling utp-utpedia.201032019-12-20T16:14:40Z http://utpedia.utp.edu.my/20103/ EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN WANG, CHIA WOON Firing of neurons in the brain created Electroencephalographic (EEG) signals, which applicable for a non-invasive measure of brain functioning. EEG signals is one of the main sources on the implementation of Brain-Computer Interface (BCI) technology. It is a non-muscle communication link between brain and external device, which enable the neurologic patients to interact with the world through the brain signals. The only communication way for a locked-in patient is through the eye muscles. Hence, eyes closed state and eyes open state are selected as the area of research. Besides, common spatial pattern (CSP) is the well-known method for classification algorithm in the BCI field. However, application of CSP in EEG eye state classification considered uncommon as compared to motor imagery classification. Hence, the proposed work aimed to analyse the EEG eye state signal as well as develop an algorithm using statistical-CSP features on the eye state identification. IRC 2019-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20103/1/Chia%20Woon_Final%20Report.pdf WANG, CHIA WOON (2019) EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
description Firing of neurons in the brain created Electroencephalographic (EEG) signals, which applicable for a non-invasive measure of brain functioning. EEG signals is one of the main sources on the implementation of Brain-Computer Interface (BCI) technology. It is a non-muscle communication link between brain and external device, which enable the neurologic patients to interact with the world through the brain signals. The only communication way for a locked-in patient is through the eye muscles. Hence, eyes closed state and eyes open state are selected as the area of research. Besides, common spatial pattern (CSP) is the well-known method for classification algorithm in the BCI field. However, application of CSP in EEG eye state classification considered uncommon as compared to motor imagery classification. Hence, the proposed work aimed to analyse the EEG eye state signal as well as develop an algorithm using statistical-CSP features on the eye state identification.
format Final Year Project
author WANG, CHIA WOON
spellingShingle WANG, CHIA WOON
EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
author_sort WANG, CHIA WOON
title EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
title_short EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
title_full EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
title_fullStr EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
title_full_unstemmed EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
title_sort eeg eye state identification based on statistical features and common spatial pattern
publisher IRC
publishDate 2019
url http://utpedia.utp.edu.my/20103/1/Chia%20Woon_Final%20Report.pdf
http://utpedia.utp.edu.my/20103/
_version_ 1741195578298073088
score 11.62408

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