Discriminant Analysis of Respiratory Sounds of Pulmonary Insufficient Patients and Normal Subjects.

Abstract

Respiration is one of the physiological functions of concern when a patient is under examination or treatment. A clinical relationship between respiratory sounds and gross respiratory pathology was established in the nineteenth century. Previous research indicates that respiratory sounds measured at the trachea undergo very little filtering. Charbonneau stated that the sound level is higher at the trachea than at any other point of the chest or back and the localization of the point is more precise. Therefore, recordings of the respiratory sound for this study were obtained from the area of the trachea. The objective of this study is to determine whether respiratory sound data of normal volunteers and pulmonary insufficiency subjects can be classified as normal or abnormal pulmonary systems by discriminant analysis and if the spectral parameters for discriminating respiratory sounds correlate with clinical parameters obtained from the pulmonary function test. The classification (normal/pulmonary insufficiency) of the subjects was determined from a single pulmonary function test.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1987
Accession Number
ADA184344

Entities

People

  • Charles S. Lessard
  • Wing C. Wong

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Aerospace Medicine
  • Air Force
  • Air Force Facilities
  • Data Analysis
  • Data Science
  • Discriminant Analysis
  • Flow
  • Information Science
  • Measurement
  • Medical Personnel
  • Plastic Explosives
  • Regression Analysis
  • Respiratory Physiological Phenomena
  • Statistical Algorithms
  • Statistical Analysis
  • Test Sets

Fields of Study

  • Medicine

Readers

  • Acoustical Oceanography.
  • Regression Analysis.
  • Trauma or Military Medicine