<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Basic and Clinical Neuroscience Journal</title>
<title_fa>مجله علوم اعصاب پایه و بالینی</title_fa>
<short_title>BCN</short_title>
<subject>Medical Sciences</subject>
<web_url>http://bcn.iums.ac.ir</web_url>
<journal_hbi_system_id>137</journal_hbi_system_id>
<journal_hbi_system_user>journal137</journal_hbi_system_user>
<journal_id_issn>2008-126X</journal_id_issn>
<journal_id_issn_online>2228-7442</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>10.32598/bcn</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1390</year>
	<month>11</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2012</year>
	<month>2</month>
	<day>1</day>
</pubdate>
<volume>3</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Combination of Beamforming and Synchronization Methods for Epileptic Source Localization, using Simulated EEG Signals</title>
	<subject_fa>Clinical Neuroscience</subject_fa>
	<subject>Clinical Neuroscience</subject>
	<content_type_fa>Original</content_type_fa>
	<content_type>Original</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;p  align=&quot;left&quot;  &gt;&lt;p&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;Localization of sources in patients with focal seizure has recently attracted many attentions. In the severe cases of focal seizure, there is a possibility of doing &lt;/font&gt;&lt;/font&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;neurosurgery operation to remove the defected tissue. The prosperity of this heavy &lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;operation completely depends on the accuracy of source localization. To increase &lt;/font&gt;&lt;/font&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;this accuracy, this paper presents a new weighted beamforming method to &lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;precisely localize the focal seizure sources from the electroencephalogram (EEG) signals. First, synchronization value is determined just between each two adjacent channels, and the channel with maximum average in synchronization index is &lt;/font&gt;&lt;/font&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;selected as the nearest channel to the dominant focal sources. Next, weight of each &lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;channel is determined based on its Euclidean's distance to the selected channel. The determined weights act as a prior knowledge, incorporating in multiple signal classification (MUSIC) and some other beamforming methods to localize the exact place of seizure source. Next, the effect of estimated source is removed from the signals repeatedly to find the second focal source. This process continues till &lt;/font&gt;&lt;/font&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;all focal sources being determined. To verify and validate the proposed scheme, &lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; size=&quot;2&quot;&gt;65 channels EEG signals were simulated and a linear weighting was applied to the three groups based on some sources. The proposed scheme and some known beamforming methods such as conventional beamformer, MUSIC, Weighted MUSIC, Capon’s, Eigenvector and also SLORETA were applied to the simulated epileptic signals to find the location of sources. Experimental results reveal the superiority of the proposed method to the rival schemes in terms of localization &lt;/font&gt;&lt;/font&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;&lt;font color=&quot;#221e1f&quot; face=&quot;Times New Roman,Times New Roman&quot; size=&quot;2&quot;&gt;accuracy, both in clean and noisy environments &lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;/p&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>EEG,Localization,Beamforming,Synchronization,Epilepsy.</keyword>
	<start_page>32</start_page>
	<end_page>46</end_page>
	<web_url>http://bcn.iums.ac.ir/browse.php?a_code=A-10-1-97&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Mahbubeh</first_name>
	<middle_name></middle_name>
	<last_name>Azadehdel</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>1370031947532846001409</code>
	<orcid>1370031947532846001409</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mohammad Reza</first_name>
	<middle_name></middle_name>
	<last_name>Parsaei</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>1370031947532846001410</code>
	<orcid>1370031947532846001410</orcid>
	<coreauthor>No</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Reza</first_name>
	<middle_name></middle_name>
	<last_name>Boostani</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>1370031947532846001411</code>
	<orcid>1370031947532846001411</orcid>
	<coreauthor>No</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
