These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Classification of respiratory sounds based on wavelet packet decomposition and learning vector quantization.
    Author: Pesu L, Helistö P, Ademovic E, Pesquet JC, Saarinen A, Sovijärvi AR.
    Journal: Technol Health Care; 1998 Jun; 6(1):65-74. PubMed ID: 9754685.
    Abstract:
    In this paper, a wavelet packet-based method is used for detection of abnormal respiratory sounds. The sound signal is divided into segments, and a feature vector for classification is formed using the results of the search for the best wavelet packet decomposition. The segments are classified as containing crackles, wheezes or normal lung sounds, using Learning Vector Quantization. The method is tested using a small set of real patient data which was also analysed by an expert observer. The preliminary results are promising, although not yet good enough for clinical use.
    [Abstract] [Full Text] [Related] [New Search]