The Use of the Multivariate Johnson Distributions to Model Trunk Muscle Coactivation
-
1996/12/01
-
-
Series: Grant Final Reports
Details
-
Personal Author:
-
Description:A model for predicting trunk muscle coactivation patterns is developed in this research. Electromyographic (EMG) data from 10 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 (isokenetic 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:
-
Series:
-
Publisher:
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Division:
-
Topic:
-
Location:
-
Pages in Document:1-2
-
NIOSHTIC Number:nn:20001025
-
Citation:Atlanta, GA: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, K01-OH-00135, 1996 Dec; :1-2
-
Contact Point Address:Department of Industrial Engineering, North Carolina State University, Raleigh, North Carolina
-
Federal Fiscal Year:1997
-
NORA Priority Area:
-
Performing Organization:North Carolina State University
-
Peer Reviewed:False
-
Start Date:19930930
-
Source Full Name:National Institute for Occupational Safety and Health
-
End Date:19960929
-
Collection(s):
-
Main Document Checksum:urn:sha-512:e3b8ed768bee46caa836aad6e25801e9b8b54e2546de30bfb5ce47e087eda678c431edcce8be53713bfdc6fc5fc81faece4be160268f71cdf7a03464c1e81703
-
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