A Wavelet-Based Instrument for Detection of Crackles in Pulmonary Sounds

Abstract

Crackles are discontinuous adventitious respiratory sounds, which are considered as signs of various pulmonary, disorders, therefore their detection is important in the analysis of lung sounds. In this work, an instrument for separating crackles from stationary, lung sounds and quantifying their characteristics is realized with DSP. The detection algorithm is based on increasing transient to background ratio by adaptive filtering and implementing nonlinear operators to wavelet based decomposed lung sounds.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410473

Entities

People

  • Omer Cerid
  • Serkan Yerer
  • Yasemin P. Kahya

Organizations

  • Boğaziçi University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acoustic Signals
  • Air Flow
  • Algorithms
  • Bandpass Filters
  • Detection
  • Digital Signal Processing
  • Diseases And Disorders
  • Engineering
  • Filters
  • Flow
  • Frequency
  • Frequency Bands
  • Frequency Response
  • Signal Processing
  • Stationary
  • Waveforms
  • Wavelet Transforms

Readers

  • Acoustics.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Cardiovascular Physiology