BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS
The brain source localization information is used to diagnose various brain disorders such as epilepsy, schizophrenia, stress, depression and Alzheimer. It is an ill-posed problem in nature affected by uncertainty in solution. Different algorithms are proposed for the solution of this ill-posed p...
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my-utp-utpedia.218972022-10-11T08:28:46Z http://utpedia.utp.edu.my/21897/ BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS MUNSIF, ALI JATOI TK Electrical engineering. Electronics Nuclear engineering The brain source localization information is used to diagnose various brain disorders such as epilepsy, schizophrenia, stress, depression and Alzheimer. It is an ill-posed problem in nature affected by uncertainty in solution. Different algorithms are proposed for the solution of this ill-posed problem which include minimum norm estimation (MNE), second order Laplacian based low resolution brain electromagnetic tomography (LORETA), standardized LORETA (sLORETA), exact LORETA, subspace based multiple signal classifier (MUSIC), Beamformer and Bayesian framework based multiple source priors (MSP). The solution provided by each of the algorithms mentioned above is characterized by various parameters which include the accuracy, computational complexity and localization error. The existing algorithms suffer from low resolution (LORETA family), high computational time (subspace algorithms and FOCUSS, WMN-LORETA) and no validation. 2017-11 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21897/1/2016%20-%20ELECTRICAL%20%26%20ELECTRONIC%20-%20BRAIN%20SOURCE%20LOCALIZATION%20TECHNIQUE%20FOR%20EEG%20SIGNALS%20BASED%20ON%20ENHANCED%20MULTIPLE%20SPARSE%20PRIORS%20-%20MUNSIF%20ALI%20JATOI.pdf MUNSIF, ALI JATOI (2017) BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS. PhD thesis, Universiti Teknologi PETRONAS. |
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TK Electrical engineering. Electronics Nuclear engineering MUNSIF, ALI JATOI BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS |
description |
The brain source localization information is used to diagnose various brain disorders
such as epilepsy, schizophrenia, stress, depression and Alzheimer. It is an ill-posed
problem in nature affected by uncertainty in solution. Different algorithms are
proposed for the solution of this ill-posed problem which include minimum norm
estimation (MNE), second order Laplacian based low resolution brain electromagnetic
tomography (LORETA), standardized LORETA (sLORETA), exact LORETA,
subspace based multiple signal classifier (MUSIC), Beamformer and Bayesian
framework based multiple source priors (MSP). The solution provided by each of the
algorithms mentioned above is characterized by various parameters which include the
accuracy, computational complexity and localization error. The existing algorithms
suffer from low resolution (LORETA family), high computational time (subspace
algorithms and FOCUSS, WMN-LORETA) and no validation. |
format |
Thesis |
author |
MUNSIF, ALI JATOI |
author_facet |
MUNSIF, ALI JATOI |
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MUNSIF, ALI JATOI |
title |
BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS |
title_short |
BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS |
title_full |
BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS |
title_fullStr |
BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS |
title_full_unstemmed |
BRAIN SOURCE LOCALIZATION TECHNIQUE FOR EEG SIGNALS BASED ON ENHANCED MULTIPLE SPARSE PRIORS |
title_sort |
brain source localization technique for eeg signals based on enhanced multiple sparse priors |
publishDate |
2017 |
url |
http://utpedia.utp.edu.my/21897/1/2016%20-%20ELECTRICAL%20%26%20ELECTRONIC%20-%20BRAIN%20SOURCE%20LOCALIZATION%20TECHNIQUE%20FOR%20EEG%20SIGNALS%20BASED%20ON%20ENHANCED%20MULTIPLE%20SPARSE%20PRIORS%20-%20MUNSIF%20ALI%20JATOI.pdf http://utpedia.utp.edu.my/21897/ |
_version_ |
1748182832772022272 |
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13.1944895 |