Wavelet Analysis and Morphology for the Detection of Wheeze in Cough Sounds

Details

• Personal Author:
  Abrons HL ; Frazer DG ; Friend KA ; Goldsmith WT ; McKinney WG ; Petsonk, Edward L. ; Salahuddin N ; Watkins SA
• Description:
  Wheeze detection by physicians is of practical importance in the diagnosis and management of a number of lung diseases. To optimize the utility of lung sound assessment, accurate characterization of the wheeze is essential. The goal of this study was to develop objective computer aided analysis that detected temporal location and frequency of wheeze in cough sounds through wavelet analysis and mathematical morphology. [Description provided by NIOSH]
• Subjects:
  Lung Lung Diseases Occupational Health Respiratory Function Tests Respiratory System Respiratory Tract Diseases Safety
• Keywords:
  Analytical-instruments Analytical-methods Analytical-processes Breathing Lung-disease Lung-disorders Morphology Pulmonary-disorders Pulmonary-function-tests Pulmonary-system-disorders Respiratory-function-tests Respiratory-system-disorders Statistical-analysis

  More +
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  Illinois ; OSHA Region 3 ; OSHA Region 5 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  326-329
• NIOSHTIC Number:
  nn:20028095
• Citation:
  Proceedings of the 3rd International Workshop on Biosignal Interpretation, Chicago, IL, June 12-14, 1999. Chicago, IL: University of Illinois 1999 Jun; :326-329
• Email:
  kdf7@cdc.gov
• Federal Fiscal Year:
  1999
• Peer Reviewed:
  False
• Source Full Name:
  Proceedings of the 3rd International Workshop on Biosignal Interpretation, Chicago, IL, June 12-14, 1999
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:b29c3cac45e1028c46440ec492e7f80e932348d7e29f572ef6ff8005881bf27127e8d21751d1828f70240340d2e0b5ec3196807eac2a8e3f5365a4a6e5b018ed
• Download URL:
  https://stacks.cdc.gov/view/cdc/189775/cdc_189775_DS1.pdf
• File Type:
  [PDF - 590.68 KB ]