The use of the multivariate Johnson distributions to model trunk muscle coactivation.
Mirka-GA; Glasscock-NF; Stanfield-PM; Psihogios-JP
NIOSH 1996 Dec; :1-2
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.
Manual-materials-handling; Manual-lifting; Musculoskeletal-system-disorders; Biomechanics; Ergonomics; Mathematical-models
Department of Industrial Engineering, North Carolina State University, Raleigh, North Carolina
Final Grant Report
National Institute for Occupational Safety and Health
Department of Industrial Engineering, College of Engineering, North Carolina State University