Linked Life Data

3976238

Source:http://linkedlifedata.com/resource/pubmed/id/3976238

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
1985-4-19
pubmed:abstractText
A computerized analysis of EEg-records from 96 multiple sclerosis (MS) patients yielded about twice as many abnormal results (79%) in comparison to the usual visual EEG-evaluation (39%). The statistically significant (p less than 0.05) increase in slow frequencies in addition to beta frequencies to the cost of alpha, but especially the reduction in total percentage of alpha contribution to overall EEG-power discriminated most efficiently between MS-patients and our normal population. Thus, alpha index alone allowed for 87% correct classification of the normal population, and 73% of patients with normal visual EEG-records were correctly classified as belonging to the MS-population. Extending the patient group to include pathological visual EEG-records as well, the corresponding figures were 95% and 89%, respectively. The computerized EEG-analysis was thus clearly superior to the usual visual inspection.
pubmed:language
ger
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0043-5341
pubmed:author
pubmed:issnType
Print
pubmed:day
31
pubmed:volume
135
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
38-40
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1985
pubmed:articleTitle
[Multiple sclerosis and the electroencephalogram (computer EEG studies)].
pubmed:publicationType
Journal Article, English Abstract, Research Support, Non-U.S. Gov't