Autoregressive Model Based on Third Order Statistics for Characterizing Cough Transmission Filters

Details

• Personal Author:
  Frazer D ; Friend KA ; Goldsmith WT ; McKinney WH ; Reynolds JS
• Description:
  An autoregressive model based on third order statistics was used to characterize the transmission filter during a cough recorded by a recording system (Goldsmith, et al., Proccedings 3rd International Workshop on Biosignal Interpretation, 1999) from subjects awaiting pulmonary function testing at the West Virginia University Hospital. Because the respiratory tract changes shape with respect to the excitation with time, it can be modeled as a time-varying filter with fixed parameters over short time intervals. In order to determine the filter characteristics, cough samples were processed through an all-pole digital filter created with an autoregressive routine (Iyer, et al., IEEE Transaction of Biomedical Engineering, 1989) based on third order cumulants (Hadjileontiadis, et al., Technology and Health Care 1997). Filter response was analyzed. The inverse filter was used to separate the excitation source. Coughs were analyzed from healthy control subjects, as well as patients diagnosed with obstructive and restrictive lung disease. Results showed differences between the group of control subjects and those with lung disease in both the characteristics of cough sound source and the sound transmission path. [Description provided by NIOSH]
• Subjects:
  Coal Coal Mining Metals Mining Occupational Health Safety
• Keywords:
  Lung Disease Models Pulmonary Congestion Pulmonary Function Pulmonary System Disorders Respiratory System Disorders Sampling
• ISSN:
  0090-6964
• Document Type:
  Text
• Genre:
  Abstract or Summary ; Proceedings
• Place as Subject:
  OSHA Region 3 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  29
• NIOSHTIC Number:
  nn:20021310
• Citation:
  Ann Biomed Eng 2001 Oct; 29(Suppl 1):S143
• Federal Fiscal Year:
  2002
• Peer Reviewed:
  False
• Source Full Name:
  Annals of Biomedical Engineering
• Supplement:
  1
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:7810b64468a085f06debe97cd4350662e0c578a3f1def0dd24e72676d8f82323760d4a2b3bda32c8fedbb3143817a53c7a46ef96ce32724d3ed82f34d4b0a711
• Download URL:
  https://stacks.cdc.gov/view/cdc/198688/cdc_198688_DS1.pdf
• File Type:
  [PDF - 127.98 KB ]