Viral encephalitis in quantitative EEG
Our aim was to study the character of quantitative EEG of viral encephalitis. Collect the EEG data of hospitalized children with viral encephalitis diagnosed by pediatricians from January 2013 to September 2016, and EEG data of normal cases at the same age were control group. Using quantitative EEG...
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| Veröffentlicht in: | Journal of integrative neuroscience 2018, Vol.17 (3-4), p.493-501 |
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| container_issue | 3-4 |
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| container_title | Journal of integrative neuroscience |
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| creator | Wu, Yuepeng Chen, Meihua Cui, Yu He, Xiying Niu, Jingzhong Zhang, Yanbo Zhou, Li |
| description | Our aim was to study the character of quantitative EEG of viral encephalitis.
Collect the EEG data of hospitalized children with viral encephalitis diagnosed by pediatricians from January 2013 to September 2016, and EEG data of normal cases at the same age were control group. Using quantitative EEG analysis technologies to obtain power spectrum value, power spectrum value, 1 power spectrum value, 12 power spectrum value, 21 power spectrum value, and 12 power spectrum value. Relative power spectrum values of 2 and were obtained by calculation. All the cases were divided into 5 groups according to the EEG character: age 3 group, age 4 group, age 5-6 group, age 7-9-year group, and age 10-14-year group. Viral encephalitis group and normal cases group were statistically compared to obtain characters of quantitative EEG with viral encephalitis.
Power spectrum values and power spectrum values of 3-14-year-old cases with encephalitis increased. 1 power spectrum values existed in age 3 group with viral encephalitis and declined at the post-head lead, while 11 and 12 power spectrum values existed in age 4-14 group with viral encephalitis declined at the post-head lead. The value of 2 Power spectrum values of age 3-9 group was limited in diagnosing viral encephalitis. 1 and 12 power spectrum values decrease in age 10-14 group with viral encephalitis. Relative power spectrum values of 2 and increased in age 3-14 group with viral encephalitis; Relative power spectrum values of decreased in age 3-14 group with viral encephalitis, most lead of relative power spectrum decreased in age 3-14 group with viral encephalitis.
The character of quantitative EEG of cases with viral encephalitis is similar to EEG, but more detailed, more precise, more intuitive and can be used for clinical diagnose of viral encephalitis. |
| doi_str_mv | 10.3233/JIN-180084 |
| format | Article |
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Collect the EEG data of hospitalized children with viral encephalitis diagnosed by pediatricians from January 2013 to September 2016, and EEG data of normal cases at the same age were control group. Using quantitative EEG analysis technologies to obtain power spectrum value, power spectrum value, 1 power spectrum value, 12 power spectrum value, 21 power spectrum value, and 12 power spectrum value. Relative power spectrum values of 2 and were obtained by calculation. All the cases were divided into 5 groups according to the EEG character: age 3 group, age 4 group, age 5-6 group, age 7-9-year group, and age 10-14-year group. Viral encephalitis group and normal cases group were statistically compared to obtain characters of quantitative EEG with viral encephalitis.
Power spectrum values and power spectrum values of 3-14-year-old cases with encephalitis increased. 1 power spectrum values existed in age 3 group with viral encephalitis and declined at the post-head lead, while 11 and 12 power spectrum values existed in age 4-14 group with viral encephalitis declined at the post-head lead. The value of 2 Power spectrum values of age 3-9 group was limited in diagnosing viral encephalitis. 1 and 12 power spectrum values decrease in age 10-14 group with viral encephalitis. Relative power spectrum values of 2 and increased in age 3-14 group with viral encephalitis; Relative power spectrum values of decreased in age 3-14 group with viral encephalitis, most lead of relative power spectrum decreased in age 3-14 group with viral encephalitis.
The character of quantitative EEG of cases with viral encephalitis is similar to EEG, but more detailed, more precise, more intuitive and can be used for clinical diagnose of viral encephalitis.</description><identifier>ISSN: 0219-6352</identifier><identifier>EISSN: 1757-448X</identifier><identifier>DOI: 10.3233/JIN-180084</identifier><identifier>PMID: 29710730</identifier><language>eng</language><publisher>England: IOS Press BV</publisher><subject>Adolescent ; Age ; Brain - physiopathology ; Child ; Child, Preschool ; Children ; EEG ; Electroencephalography - methods ; Encephalitis ; Encephalitis, Viral - diagnosis ; Encephalitis, Viral - physiopathology ; Fourier analysis ; Humans ; Lead ; Signal Processing, Computer-Assisted ; Thermal energy</subject><ispartof>Journal of integrative neuroscience, 2018, Vol.17 (3-4), p.493-501</ispartof><rights>Copyright IOS Press BV 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3074-eec34b80824a32883e8ebac1057e16c75f0a912489427c6eeb7099d448f3ff2c3</citedby><cites>FETCH-LOGICAL-c3074-eec34b80824a32883e8ebac1057e16c75f0a912489427c6eeb7099d448f3ff2c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29710730$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Yuepeng</creatorcontrib><creatorcontrib>Chen, Meihua</creatorcontrib><creatorcontrib>Cui, Yu</creatorcontrib><creatorcontrib>He, Xiying</creatorcontrib><creatorcontrib>Niu, Jingzhong</creatorcontrib><creatorcontrib>Zhang, Yanbo</creatorcontrib><creatorcontrib>Zhou, Li</creatorcontrib><title>Viral encephalitis in quantitative EEG</title><title>Journal of integrative neuroscience</title><addtitle>J Integr Neurosci</addtitle><description>Our aim was to study the character of quantitative EEG of viral encephalitis.
Collect the EEG data of hospitalized children with viral encephalitis diagnosed by pediatricians from January 2013 to September 2016, and EEG data of normal cases at the same age were control group. Using quantitative EEG analysis technologies to obtain power spectrum value, power spectrum value, 1 power spectrum value, 12 power spectrum value, 21 power spectrum value, and 12 power spectrum value. Relative power spectrum values of 2 and were obtained by calculation. All the cases were divided into 5 groups according to the EEG character: age 3 group, age 4 group, age 5-6 group, age 7-9-year group, and age 10-14-year group. Viral encephalitis group and normal cases group were statistically compared to obtain characters of quantitative EEG with viral encephalitis.
Power spectrum values and power spectrum values of 3-14-year-old cases with encephalitis increased. 1 power spectrum values existed in age 3 group with viral encephalitis and declined at the post-head lead, while 11 and 12 power spectrum values existed in age 4-14 group with viral encephalitis declined at the post-head lead. The value of 2 Power spectrum values of age 3-9 group was limited in diagnosing viral encephalitis. 1 and 12 power spectrum values decrease in age 10-14 group with viral encephalitis. Relative power spectrum values of 2 and increased in age 3-14 group with viral encephalitis; Relative power spectrum values of decreased in age 3-14 group with viral encephalitis, most lead of relative power spectrum decreased in age 3-14 group with viral encephalitis.
The character of quantitative EEG of cases with viral encephalitis is similar to EEG, but more detailed, more precise, more intuitive and can be used for clinical diagnose of viral encephalitis.</description><subject>Adolescent</subject><subject>Age</subject><subject>Brain - physiopathology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>EEG</subject><subject>Electroencephalography - methods</subject><subject>Encephalitis</subject><subject>Encephalitis, Viral - diagnosis</subject><subject>Encephalitis, Viral - physiopathology</subject><subject>Fourier analysis</subject><subject>Humans</subject><subject>Lead</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Thermal energy</subject><issn>0219-6352</issn><issn>1757-448X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkFFLwzAUhYMobk5f_AFSEESE6k1uuiSPMuacDH1R8S2k2S1mdO1sWsF_b2XTB58OBz4Oh4-xUw7XKBBvHuaPKdcAWu6xIVeZSqXUb_tsCIKbdIyZGLCjGFfQdzRwyAbCKA4KYcguXkPjyoQqT5t3V4Y2xCRUyUfnqja0rg2flEyns2N2ULgy0skuR-zlbvo8uU8XT7P55HaRegQlUyKPMteghXQotEbSlDvPIVPEx15lBTjDhdRGCuXHRLkCY5b93QKLQngcscvt7qapPzqKrV2H6KksXUV1F60ARNSSZ6pHz_-hq7prqv6dFRyEAMk59NTVlvJNHWNDhd00Ye2aL8vB_tizvT27tdfDZ7vJLl_T8g_91YXf7S9mgg</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Wu, Yuepeng</creator><creator>Chen, Meihua</creator><creator>Cui, Yu</creator><creator>He, Xiying</creator><creator>Niu, Jingzhong</creator><creator>Zhang, Yanbo</creator><creator>Zhou, Li</creator><general>IOS Press BV</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QR</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>2018</creationdate><title>Viral encephalitis in quantitative EEG</title><author>Wu, Yuepeng ; Chen, Meihua ; Cui, Yu ; He, Xiying ; Niu, Jingzhong ; Zhang, Yanbo ; Zhou, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3074-eec34b80824a32883e8ebac1057e16c75f0a912489427c6eeb7099d448f3ff2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescent</topic><topic>Age</topic><topic>Brain - physiopathology</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>EEG</topic><topic>Electroencephalography - methods</topic><topic>Encephalitis</topic><topic>Encephalitis, Viral - diagnosis</topic><topic>Encephalitis, Viral - physiopathology</topic><topic>Fourier analysis</topic><topic>Humans</topic><topic>Lead</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Thermal energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Yuepeng</creatorcontrib><creatorcontrib>Chen, Meihua</creatorcontrib><creatorcontrib>Cui, Yu</creatorcontrib><creatorcontrib>He, Xiying</creatorcontrib><creatorcontrib>Niu, Jingzhong</creatorcontrib><creatorcontrib>Zhang, Yanbo</creatorcontrib><creatorcontrib>Zhou, Li</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of integrative neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Yuepeng</au><au>Chen, Meihua</au><au>Cui, Yu</au><au>He, Xiying</au><au>Niu, Jingzhong</au><au>Zhang, Yanbo</au><au>Zhou, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Viral encephalitis in quantitative EEG</atitle><jtitle>Journal of integrative neuroscience</jtitle><addtitle>J Integr Neurosci</addtitle><date>2018</date><risdate>2018</risdate><volume>17</volume><issue>3-4</issue><spage>493</spage><epage>501</epage><pages>493-501</pages><issn>0219-6352</issn><eissn>1757-448X</eissn><abstract>Our aim was to study the character of quantitative EEG of viral encephalitis.
Collect the EEG data of hospitalized children with viral encephalitis diagnosed by pediatricians from January 2013 to September 2016, and EEG data of normal cases at the same age were control group. Using quantitative EEG analysis technologies to obtain power spectrum value, power spectrum value, 1 power spectrum value, 12 power spectrum value, 21 power spectrum value, and 12 power spectrum value. Relative power spectrum values of 2 and were obtained by calculation. All the cases were divided into 5 groups according to the EEG character: age 3 group, age 4 group, age 5-6 group, age 7-9-year group, and age 10-14-year group. Viral encephalitis group and normal cases group were statistically compared to obtain characters of quantitative EEG with viral encephalitis.
Power spectrum values and power spectrum values of 3-14-year-old cases with encephalitis increased. 1 power spectrum values existed in age 3 group with viral encephalitis and declined at the post-head lead, while 11 and 12 power spectrum values existed in age 4-14 group with viral encephalitis declined at the post-head lead. The value of 2 Power spectrum values of age 3-9 group was limited in diagnosing viral encephalitis. 1 and 12 power spectrum values decrease in age 10-14 group with viral encephalitis. Relative power spectrum values of 2 and increased in age 3-14 group with viral encephalitis; Relative power spectrum values of decreased in age 3-14 group with viral encephalitis, most lead of relative power spectrum decreased in age 3-14 group with viral encephalitis.
The character of quantitative EEG of cases with viral encephalitis is similar to EEG, but more detailed, more precise, more intuitive and can be used for clinical diagnose of viral encephalitis.</abstract><cop>England</cop><pub>IOS Press BV</pub><pmid>29710730</pmid><doi>10.3233/JIN-180084</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Age Brain - physiopathology Child Child, Preschool Children EEG Electroencephalography - methods Encephalitis Encephalitis, Viral - diagnosis Encephalitis, Viral - physiopathology Fourier analysis Humans Lead Signal Processing, Computer-Assisted Thermal energy |
| title | Viral encephalitis in quantitative EEG |
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