Spectral analysis of root-mean-square processed surface electromyography data as a measure of repetitive muscular exertion

Details

• Personal Author:
  Fethke N ; Gant L ; Gerr F
• Description:
  Highly repetitive motion is associated with development of upper extremity musculoskeletal disorders (UEMSDs) among industrial workers, especially when encountered concurrently with forceful exertions. Current measures of "repetitiveness" provide information about the repetitiveness of joint motion, but fail to provide complete information about the repetitiveness of muscular exertion, a more biomechanically meaningful measure of repetition. The current study introduces a novel processing technique in which surface electromyography (sEMG) data is rootmean- square processed prior to computation of the frequency spectrum. The mean power frequency of the resulting power spectrum is the proposed metric for estimation of muscular exertion frequency. The metric was compared to joint movement and applied force frequencies during a series of isometric gripping trials and an industrial simulation. Results suggest that the proposed metric has potential to be a valuable metric to estimate exposure to repetitive muscular exertion. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety
• Keywords:
  Extremities Force MSD Muscle Function Muscular Disorders Musculoskeletal Disorders Musculoskeletal System Disorders Repetitive Strain Injury Repetitive Stress Repetitive Work RSI Upper Extremities Work Environment Workers

  More +
• ISBN:
  9780945289418
• ISSN:
  1071-1813
• Publisher:
  Human Factors and Ergonomics Society
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Proceedings
• Place as Subject:
  Iowa ; Massachusetts ; OSHA Region 1 ; OSHA Region 7
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  56
• NIOSHTIC Number:
  nn:20047729
• Citation:
  Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, October 22-26, 2012, Boston, Massachusetts. Santa Monica, CA: Human Factors and Ergonomics Society, 2012 Sep; 56:1140-1144
• Contact Point Address:
  Lauren Gant, Department of Biomedical Engineering, The University of Iowa
• Federal Fiscal Year:
  2012
• Performing Organization:
  University of Iowa
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, October 22-26, 2012, Boston, Massachusetts
• End Date:
  20290630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:4790e907eb13f129e72abc20e74b6185f5fcdc20c6d0e9ee3ca37a3217cde6e249228b68674afea2550616f16307e5e7c511df189bad942782044ab6cf8bc9d5
• Download URL:
  https://stacks.cdc.gov/view/cdc/202726/cdc_202726_DS1.pdf
• File Type:
  [PDF - 818.85 KB ]