Discrete wavelet transform analysis of surface electromyography for the fatigue assessment of neck and shoulder muscles

Details

• Personal Author:
  Chowdhury SK ; Creese RC ; Jaridi M ; Nimbarte AD
• Description:
  Assessment of neuromuscular fatigue is essential for early detection and prevention of risks associated with work-related musculoskeletal disorders. In recent years, discrete wavelet transform (DWT) of surface electromyography (SEMG) has been used to evaluate muscle fatigue, especially during dynamic contractions when the SEMG signal is non-stationary. However, its application to the assessment of work-related neck and shoulder muscle fatigue is not well established. Therefore, the purpose of this study was to establish DWT analysis as a suitable method to conduct quantitative assessment of neck and shoulder muscle fatigue under dynamic repetitive conditions. Ten human participants performed 40 min of fatiguing repetitive arm and neck exertions while SEMG data from the upper trapezius and sternocleidomastoid muscles were recorded. The ten of the most commonly used wavelet functions were used to conduct the DWT analysis. Spectral changes estimated using power of wavelet coefficients in the 12-23 Hz frequency band showed the highest sensitivity to fatigue induced by the dynamic repetitive exertions. Although most of the wavelet functions tested in this study reasonably demonstrated the expected power trend with fatigue development and recovery, the overall performance of the "Rbio3.1" wavelet in terms of power estimation and statistical significance was better than the remaining nine wavelets. [Description provided by NIOSH]
• Subjects:
  Fatigue Musculoskeletal Diseases Musculoskeletal System Occupational Health Safety Workplace
• Keywords:
  Author Keywords: Discrete Wavelet Transform Dynamic Repetitive Exertions Electromyography Muscles Musculoskeletal Disorders Musculoskeletal System Neck Neck Injuries Neuromuscular System Neuromuscular System Disorders Repetitive Work Shoulder Work Environment Workers

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• ISSN:
  1050-6411
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  23
• Issue:
  5
• NIOSHTIC Number:
  nn:20049206
• Citation:
  J Electromyogr Kinesiol 2013 Oct; 23(5):995-1003
• Contact Point Address:
  Ashish D. Nimbarte, Industrial and Management Systems Engineering, West Virginia University, PO Box 6070, Morgantown, WV 26506-6107
• Email:
  Ashish.Nimbarte@mail.wvu.edu
• Federal Fiscal Year:
  2014
• Performing Organization:
  West Virginia University
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Journal of Electromyography and Kinesiology
• End Date:
  20250630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:f637a1a496322a37b4be36446b520e15faf10b69368829b2144d6349b1f6f5084d0be3f637ceb80daeeb2d16c0412da909360cdfaa9d497fbcc7c6421ad221c2
• Download URL:
  https://stacks.cdc.gov/view/cdc/203739/cdc_203739_DS1.pdf
• File Type:
  [PDF - 1.70 MB ]