Predicting the Optimal Lifting Motion Through Simulation

Details

• Personal Author:
  Ayoub MM ; Bernard TM ; Hsiang MS ; Lin CJ
• Description:
  Biomechanical analyses and models serve a useful purpose in estimating the stresses on the musculoskeletal system. In dynamic biomechanical analysis, displacement-dime data must be known in order to estimate the kinematics and kinetics of the movement. However, the collection of this displacement data is both tedious and expensive. With the development of simulation lifting models, it is possible to provide an indirect means of performing the biomechanical analysis without having to actually collect the displacement-time information. The significance of the current research is its ability to estimate the kinematics and kinetics of lifting movements under specified characteristics of the anthropometry, the work station, and the lifting task. [Description provided by NIOSH]
• Subjects:
  Ergonomics Musculoskeletal Diseases Occupational Health Safety Software
• Keywords:
  Computer-models Human-factors-engineering Manual-materials-handling Mathematical-models Musculoskeletal-system-disorders Simulation-methods
• Publisher:
  Texas Tech University
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Proceedings
• Place as Subject:
  OSHA Region 6 ; Texas
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  OD - Office of the Director
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  97-100
• NIOSHTIC Number:
  nn:20000991
• Citation:
  Proceedings of the M. M. Ayoub Occupational Ergonomics Symposium, 1993 Apr; :97-100
• Federal Fiscal Year:
  1993
• Performing Organization:
  Department of Industrial Engineering, Texas Tech University, Lubbock Texas
• Peer Reviewed:
  False
• Start Date:
  19880101
• Source Full Name:
  Proceedings of the M. M. Ayoub Occupational Ergonomics Symposium
• End Date:
  19950831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:4a86b6ce64f501033f96d61af271e6c014584c79cc7261e0e490ad2c4ce4c6e49cf3bdd7327af0d3d5c2a2ff1836bffce912057a29fdc080702080a851d381c8
• Download URL:
  https://stacks.cdc.gov/view/cdc/198285/cdc_198285_DS1.pdf
• File Type:
  [PDF - 138.70 KB ]