Analysis of quantitative Electroencephalogram background activity in Autism disease patients with Lempel-Ziv complexity and Short Time Fourier Transform measure
Electroencephalography (EEG) is an essential tool for the evaluation and treatment of neurophysiologic disorders. Careful analysis of the EEG records can provide insight and improved understanding of the mechanism causing disorders. In this study we have investigated the EEG background activity in p...
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| creator | Sheikhani, A. Behnam, H. Mohammadi, M.R. Noroozian, M. Golabi, P. |
| description | Electroencephalography (EEG) is an essential tool for the evaluation and treatment of neurophysiologic disorders. Careful analysis of the EEG records can provide insight and improved understanding of the mechanism causing disorders. In this study we have investigated the EEG background activity in patients with Autism disease using frequency analysis methods. We calculated LZ complexity, Short Time Fourier Transform (STFT) and also STFT at bandwith of total spectrum (we name it STFT BW) for 19 channels of EEG. Coefficients of the EEG in 11 Autism patients and 10 age control subjects with the same age were measured. These coefficient assessments with variance analysis. We find no significant different between Autism disorders and control subjects EEGs with STFT. On the other hand, Autism disorders had significantly difference LZ complexity value (p < 0.05) at electrodes F7, T3 and T5. STFT at bandwidth (STFT BW) had excellent different. FP1, F3 and T5 with (p |
| doi_str_mv | 10.1109/ISSMDBS.2007.4338305 |
| format | Conference Proceeding |
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Careful analysis of the EEG records can provide insight and improved understanding of the mechanism causing disorders. In this study we have investigated the EEG background activity in patients with Autism disease using frequency analysis methods. We calculated LZ complexity, Short Time Fourier Transform (STFT) and also STFT at bandwith of total spectrum (we name it STFT BW) for 19 channels of EEG. Coefficients of the EEG in 11 Autism patients and 10 age control subjects with the same age were measured. These coefficient assessments with variance analysis. We find no significant different between Autism disorders and control subjects EEGs with STFT. On the other hand, Autism disorders had significantly difference LZ complexity value (p < 0.05) at electrodes F7, T3 and T5. STFT at bandwidth (STFT BW) had excellent different. FP1, F3 and T5 with (p<0.01) and F7, T3 and Ol with (p < 0.05) had significantly differences. 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Careful analysis of the EEG records can provide insight and improved understanding of the mechanism causing disorders. In this study we have investigated the EEG background activity in patients with Autism disease using frequency analysis methods. We calculated LZ complexity, Short Time Fourier Transform (STFT) and also STFT at bandwith of total spectrum (we name it STFT BW) for 19 channels of EEG. Coefficients of the EEG in 11 Autism patients and 10 age control subjects with the same age were measured. These coefficient assessments with variance analysis. We find no significant different between Autism disorders and control subjects EEGs with STFT. On the other hand, Autism disorders had significantly difference LZ complexity value (p < 0.05) at electrodes F7, T3 and T5. STFT at bandwidth (STFT BW) had excellent different. FP1, F3 and T5 with (p<0.01) and F7, T3 and Ol with (p < 0.05) had significantly differences. In addition our findings suggested that STFT_BW have 81.0% discriminate between normal and Autism subjects with Mahalanobis distance but LZ complexity and STFT haven't results significant.</description><subject>Autism</subject><subject>Autism disorders</subject><subject>Diseases</subject><subject>EEG</subject><subject>Electrodes</subject><subject>Electroencephalography</subject><subject>Fourier transforms</subject><subject>Frequency</subject><subject>LZ complexity</subject><subject>Neodymium</subject><subject>Performance evaluation</subject><subject>STFT</subject><subject>Time measurement</subject><subject>Variable speed drives</subject><isbn>9781424413454</isbn><isbn>1424413451</isbn><isbn>9781424413461</isbn><isbn>142441346X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkLFOwzAYhIMQEgj6BDD4BVLi2InrsZQWKhUxpBNL9WP_bg1JHGyn0LfhUQmiC7ecTrr7hkuSG5qNKc3k7bKqnu7vqnGeZWLMGZuwrDhJRlJMKM85p4yX9PRfLvh5MgrhLRvEZDFsLpLvaQv1IdhAnCEfPbTRRoh2j2Reo4reYauw20Htth4a8grqfetd32oCaqjZeCC2JdM-2tAQbQNCQNINBGxjIJ827sgKmw7r9MXuiXJNV-PX7woGRLVzPpK1bZAsXO8terL20AbjfEOaAdV7vErODNQBR0e_TKrFfD17TFfPD8vZdJVamcVUKKQUDKCRWhYFyNxorlipCi1oobXSKMpJTofEcygpF0IX1AhBmZFQssvk-o9qEXHTeduAP2yOr7IfZsxw5g</recordid><startdate>200708</startdate><enddate>200708</enddate><creator>Sheikhani, A.</creator><creator>Behnam, H.</creator><creator>Mohammadi, M.R.</creator><creator>Noroozian, M.</creator><creator>Golabi, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200708</creationdate><title>Analysis of quantitative Electroencephalogram background activity in Autism disease patients with Lempel-Ziv complexity and Short Time Fourier Transform measure</title><author>Sheikhani, A. ; Behnam, H. ; Mohammadi, M.R. ; Noroozian, M. ; Golabi, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-7ce11afaef9d955a92fd4c36c5d715ddcde76821d7142a61477d51f7713f9a63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Autism</topic><topic>Autism disorders</topic><topic>Diseases</topic><topic>EEG</topic><topic>Electrodes</topic><topic>Electroencephalography</topic><topic>Fourier transforms</topic><topic>Frequency</topic><topic>LZ complexity</topic><topic>Neodymium</topic><topic>Performance evaluation</topic><topic>STFT</topic><topic>Time measurement</topic><topic>Variable speed drives</topic><toplevel>online_resources</toplevel><creatorcontrib>Sheikhani, A.</creatorcontrib><creatorcontrib>Behnam, H.</creatorcontrib><creatorcontrib>Mohammadi, M.R.</creatorcontrib><creatorcontrib>Noroozian, M.</creatorcontrib><creatorcontrib>Golabi, P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sheikhani, A.</au><au>Behnam, H.</au><au>Mohammadi, M.R.</au><au>Noroozian, M.</au><au>Golabi, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Analysis of quantitative Electroencephalogram background activity in Autism disease patients with Lempel-Ziv complexity and Short Time Fourier Transform measure</atitle><btitle>2007 4th IEEE/EMBS International Summer School and Symposium on Medical Devices and Biosensors</btitle><stitle>ISSMDBS</stitle><date>2007-08</date><risdate>2007</risdate><spage>111</spage><epage>114</epage><pages>111-114</pages><isbn>9781424413454</isbn><isbn>1424413451</isbn><eisbn>9781424413461</eisbn><eisbn>142441346X</eisbn><abstract>Electroencephalography (EEG) is an essential tool for the evaluation and treatment of neurophysiologic disorders. Careful analysis of the EEG records can provide insight and improved understanding of the mechanism causing disorders. In this study we have investigated the EEG background activity in patients with Autism disease using frequency analysis methods. We calculated LZ complexity, Short Time Fourier Transform (STFT) and also STFT at bandwith of total spectrum (we name it STFT BW) for 19 channels of EEG. Coefficients of the EEG in 11 Autism patients and 10 age control subjects with the same age were measured. These coefficient assessments with variance analysis. We find no significant different between Autism disorders and control subjects EEGs with STFT. On the other hand, Autism disorders had significantly difference LZ complexity value (p < 0.05) at electrodes F7, T3 and T5. STFT at bandwidth (STFT BW) had excellent different. FP1, F3 and T5 with (p<0.01) and F7, T3 and Ol with (p < 0.05) had significantly differences. In addition our findings suggested that STFT_BW have 81.0% discriminate between normal and Autism subjects with Mahalanobis distance but LZ complexity and STFT haven't results significant.</abstract><pub>IEEE</pub><doi>10.1109/ISSMDBS.2007.4338305</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Autism Autism disorders Diseases EEG Electrodes Electroencephalography Fourier transforms Frequency LZ complexity Neodymium Performance evaluation STFT Time measurement Variable speed drives |
| title | Analysis of quantitative Electroencephalogram background activity in Autism disease patients with Lempel-Ziv complexity and Short Time Fourier Transform measure |
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