The use of the multivariate Johnson distributions to model trunk muscle coactivation.
Mirka-GA; Glasscock-NF; Stanfield-PM; Psihogios-JP; Davis-JR
Proceedings of the Human Factors and Ergonomics Society 40th Annual Meeting, Philadelphia, Human Centered Technology, Key to the Future. Santa Monica, CA: Human Factors and Ergonomics Society, 1996 Dec; 40(Ind Erg):584-588
The accurate description of trunk muscle coactivation, and more specifically antagonist muscle activity, has recently been the focus of a great deal of research in the spine biomechanics literature. The research presented in this paper is an empirical approach to the problem. Electromyographic (EMG) data were collected from 28 subjects as they performed simulated lifting tasks. These EMG data were collected from the right and left pairs of the erector spinae, latissimus dorsi, rectus abdominis, external obliques and internal obliques as subjects performed a variety of trunk extension exertions. 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 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 described how the muscles cooperated in the development of these 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
The Ergonomics Laboratory, Department of Industrial Engineering, North Carolina State University, Raleigh, North Carolina
Issue of Publication
Proceedings of the Human Factors and Ergonomics Society 40th Annual Meeting, Philadelphia, Human Centered Technology, Key to the Future
Department of Industrial Engineering, College of Engineering, North Carolina State University