Linked Life Data

7515789

Source:http://linkedlifedata.com/resource/pubmed/id/7515789

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1994-7-12
pubmed:abstractText
Movements of right and left index fingers, right toe and tongue were studied by EEG measurement in the alpha and gamma (30-40 Hz) bands. The EEG was recorded with a 56-electrode array over pre- and postcentral areas. For each movement the average power decrease, as a measurement of the event-related desynchronization or power increase in narrow frequency bands, was calculated. Single-trial data from 8 electrodes, 3 frequency bands and 4 time points within a 1 sec window were subject to a classification task. It was found that, based on single EEG trials, the data from the 4 movements could be differentiated with an accuracy of 70% when alpha and gamma band activity were used but only with 58% in the case of the alpha band activity alone. This shows that the gamma band activity or 40 Hz EEG is strongly related to planning of a specific movement and therefore, improves the accuracy of classification significantly.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0013-4694
pubmed:author
pubmed:issnType
Print
pubmed:volume
90
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
456-60
pubmed:dateRevised
2008-9-9
pubmed:meshHeading
pubmed:year
1994
pubmed:articleTitle
Differentiation between finger, toe and tongue movement in man based on 40 Hz EEG.
pubmed:affiliation
Ludwig Boltzmann-Institute of Medical Informatics and Neuroinformatics, Graz University of Technology, Austria.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't