Computer quantification of electroencephalographic data recorded from renal patients
Computer quantification of EEG records recorded from patients with renal disease reveals a slowing of the EEG correlated with deterioration of the patient's clinical condition. Electroencephalographic records were analyzed (1) by time averaged autocorrelation and subsequent Fourier transformati...
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Veröffentlicht in: | Computers and biomedical research 1975-10, Vol.8 (5), p.461-473 |
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creator | Bourne, J.R. Miezin, F.M. Ward, J.W. Teschan, P.E. |
description | Computer quantification of EEG records recorded from patients with renal disease reveals a slowing of the EEG correlated with deterioration of the patient's clinical condition. Electroencephalographic records were analyzed (1) by time averaged autocorrelation and subsequent Fourier transformation and (2) by generation of compressed spectra arrays (CSA). Quantification of the CSA provided estimates of the mean and variance of the percent power in selected frequency bandwidths in the EEG. This quantification has proved quite useful in the detection of slowing in EEG records. |
doi_str_mv | 10.1016/0010-4809(75)90050-6 |
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Electroencephalographic records were analyzed (1) by time averaged autocorrelation and subsequent Fourier transformation and (2) by generation of compressed spectra arrays (CSA). Quantification of the CSA provided estimates of the mean and variance of the percent power in selected frequency bandwidths in the EEG. This quantification has proved quite useful in the detection of slowing in EEG records.</description><identifier>ISSN: 0010-4809</identifier><identifier>EISSN: 1090-2368</identifier><identifier>DOI: 10.1016/0010-4809(75)90050-6</identifier><identifier>PMID: 1181081</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Computers ; Electroencephalography - methods ; Fourier Analysis ; Humans ; Kidney Diseases - physiopathology ; Renal Dialysis ; Spectrum Analysis ; Statistics as Topic</subject><ispartof>Computers and biomedical research, 1975-10, Vol.8 (5), p.461-473</ispartof><rights>1975</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-5e6306a981e93e3cb685ba0c45e9bc7d16e36f15c48c00460d4f94bdf4c2af843</citedby><cites>FETCH-LOGICAL-c357t-5e6306a981e93e3cb685ba0c45e9bc7d16e36f15c48c00460d4f94bdf4c2af843</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27928,27929</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/1181081$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bourne, J.R.</creatorcontrib><creatorcontrib>Miezin, F.M.</creatorcontrib><creatorcontrib>Ward, J.W.</creatorcontrib><creatorcontrib>Teschan, P.E.</creatorcontrib><title>Computer quantification of electroencephalographic data recorded from renal patients</title><title>Computers and biomedical research</title><addtitle>Comput Biomed Res</addtitle><description>Computer quantification of EEG records recorded from patients with renal disease reveals a slowing of the EEG correlated with deterioration of the patient's clinical condition. Electroencephalographic records were analyzed (1) by time averaged autocorrelation and subsequent Fourier transformation and (2) by generation of compressed spectra arrays (CSA). Quantification of the CSA provided estimates of the mean and variance of the percent power in selected frequency bandwidths in the EEG. This quantification has proved quite useful in the detection of slowing in EEG records.</description><subject>Computers</subject><subject>Electroencephalography - methods</subject><subject>Fourier Analysis</subject><subject>Humans</subject><subject>Kidney Diseases - physiopathology</subject><subject>Renal Dialysis</subject><subject>Spectrum Analysis</subject><subject>Statistics as Topic</subject><issn>0010-4809</issn><issn>1090-2368</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1975</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtLxDAQx4Mouj6-gUJPoofqZJum6UWQxRcIXtZzSJOJRtqmJqngt7d1RW-ehuH_GOZHyDGFCwqUXwJQyJmA-qwqz2uAEnK-RRYUasiXBRfbZPFr2SP7Mb7BZKoqsUt2KRUUBF2Q9cp3w5gwZO-j6pOzTqvkfJ95m2GLOgWPvcbhVbX-Jajh1enMqKSygNoHgyazwXfT1qs2G6Yo9ikekh2r2ohHP_OAPN_erFf3-ePT3cPq-jHXRVmlvEReAFe1oFgXWOiGi7JRoFmJdaMrQzkW3NJSM6EBGAfDbM0aY5leKitYcUBON71D8O8jxiQ7FzW2rerRj1GKApio6WxkG6MOPsaAVg7BdSp8SgpyhilnUnImJatSfsOUfIqd_PSPTYfmL7ShN-lXGx2nJz8cBhm1m3EZN-FJ0nj3_4EvDeCEqQ</recordid><startdate>197510</startdate><enddate>197510</enddate><creator>Bourne, J.R.</creator><creator>Miezin, F.M.</creator><creator>Ward, J.W.</creator><creator>Teschan, P.E.</creator><general>Elsevier Inc</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>7X8</scope></search><sort><creationdate>197510</creationdate><title>Computer quantification of electroencephalographic data recorded from renal patients</title><author>Bourne, J.R. ; Miezin, F.M. ; Ward, J.W. ; Teschan, P.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-5e6306a981e93e3cb685ba0c45e9bc7d16e36f15c48c00460d4f94bdf4c2af843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1975</creationdate><topic>Computers</topic><topic>Electroencephalography - methods</topic><topic>Fourier Analysis</topic><topic>Humans</topic><topic>Kidney Diseases - physiopathology</topic><topic>Renal Dialysis</topic><topic>Spectrum Analysis</topic><topic>Statistics as Topic</topic><toplevel>online_resources</toplevel><creatorcontrib>Bourne, J.R.</creatorcontrib><creatorcontrib>Miezin, F.M.</creatorcontrib><creatorcontrib>Ward, J.W.</creatorcontrib><creatorcontrib>Teschan, P.E.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Computers and biomedical research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bourne, J.R.</au><au>Miezin, F.M.</au><au>Ward, J.W.</au><au>Teschan, P.E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computer quantification of electroencephalographic data recorded from renal patients</atitle><jtitle>Computers and biomedical research</jtitle><addtitle>Comput Biomed Res</addtitle><date>1975-10</date><risdate>1975</risdate><volume>8</volume><issue>5</issue><spage>461</spage><epage>473</epage><pages>461-473</pages><issn>0010-4809</issn><eissn>1090-2368</eissn><abstract>Computer quantification of EEG records recorded from patients with renal disease reveals a slowing of the EEG correlated with deterioration of the patient's clinical condition. 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subjects | Computers Electroencephalography - methods Fourier Analysis Humans Kidney Diseases - physiopathology Renal Dialysis Spectrum Analysis Statistics as Topic |
title | Computer quantification of electroencephalographic data recorded from renal patients |
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