The Use of Multivariate Johnson Distributions to Model Trunk Muscle Coactivation
-
1996/11/17
-
Details
-
Personal Author:
-
Description:A model for predicting trunk muscle coactivation patterns is developed in this research. Electromyographic (EMG) data from ten trunk muscles were collected from 28 subjects as they performed simulated lifting tasks. Nine repetitions of each combination of independent variables were performed by each subject. Included in these exertions were asymmetric postures and dynamic (isokinetic and constant acceleration) exertions. The muscle activity data collected during these trials were used to develop marginal distributions of trunk muscle activity as well as a 10 x 10 correlation matrix that describes how these muscles cooperate in the development of these trunk extension torques. These elements were then combined to generate multivariate distributions describing the coactivation of the trunk musculature. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
Publisher:
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Pages in Document:299-300
-
Volume:33
-
NIOSHTIC Number:nn:20057043
-
Citation:1996 Advances in Bioengineering - Proceedings of 1996 ASME International Mechanical Engineering Congress and Exposition, November 17-22, 1996, Atlanta, Georgia. Rastegar S ed. New York: American Society of Mechanical Engineers, 1996 Nov; 33:299-300
-
Editor(s):
-
Federal Fiscal Year:1997
-
NORA Priority Area:
-
Performing Organization:Department of Industrial Engineering, College of Engineering, North Carolina State University
-
Peer Reviewed:True
-
Start Date:19930930
-
Source Full Name:1996 Advances in Bioengineering - Proceedings of 1996 ASME International Mechanical Engineering Congress and Exposition, November 17-22, 1996, Atlanta, Georgia
-
End Date:19960929
-
Collection(s):
-
Main Document Checksum:urn:sha-512:9128daaa6891d27ab6e2e4691c7e3e857d2d221ed6c2fbc961d2415245a5697a2a517a1645297e9d6c99d9f3d85ff1064a0e9753eaeabe7299e666aa33c92c9b
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like