Linked Life Data

15140163

Source:http://linkedlifedata.com/resource/pubmed/id/15140163

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2004-5-13
pubmed:abstractText
The purpose of this study was to make observations of electromyographic (EMG) signal levels from a group of individuals to describe different mandibular tasks and use them as predictors of these activities. The sample consisted of 22 volunteer subjects (12 women and 10 men) with mean values for age, weight and height of 29.3 years, 69 kg and 168 cm respectively. Three separate recording sessions were performed for each subject. During each session the subjects were asked to perform different voluntary mandibular tasks. The EMG activity for each task was recorded from the anterior temporalis (T(a)) and masseter muscles (M(m)) bilaterally. The EMG recordings were related to task, session, task-session interaction, gender, age, weight and height using SAS version 6.12. The EMG data from the four muscles were considered as covariates to classify tasks. Overall, 78% of the group tasks were correctly classified. When the masticatory activities were classified as high and low EMG signal level group, the overall classification rate improved with an accuracy of 88%, sensitivity of 86%, specificity of 88%, positive predictive value of 76% and negative predictive value of 94%. The tasks, sessions, task-session interactions, gender, age, weight and height did not have any significant effect on the EMG recordings. It can be concluded that distinguishing among different mandibular tasks of a subject can be achieved when the individual EMG signal levels were compared with the EMG signal levels of subjects that were used to describe different mandibular activities.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
D
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0305-182X
pubmed:author
pubmed:issnType
Print
pubmed:volume
31
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
399-405
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Prediction of different mandibular activities by EMG signal levels.
pubmed:affiliation
Department of Restorative Dentistry, College of Dental Medicine, Nova Southeastern University, FL, USA. acostao@nova.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.