Detection and Discrimination of Adventitious Frames of Respiratory Sounds*

Satoru Hayamizu, Kimio Konno, Katsuki Yoshino

Research output: Contribution to journalArticlepeer-review


This paper describes the automatic recognition method which classifies every short frame of the respiratory sounds. Discrimination of every short frame enables not only detection of adventitious sound, but also separation and classification of respiratory sounds which contain different sounds at different times. Discrimination consists of two stages. First by means of the mean square of residual error, respiratory ‘sounds are classified into two classes, continuous sounds and discontinuous ones. Secondly each class is subdivided by means of feature parameters based on AIC (Akaike Information Criterion) which are transformed from PARCOR (Partial Autocorrelation) coefficients. The standard category sets are defined by R. Murphy's medical training tape, and the effectiveness of this method is shown by the discrimination experiment.

Original languageEnglish
Pages (from-to)327-330
Number of pages4
JournalJapanese journal of medical electronics and biological engineering
Issue number5
Publication statusPublished - 1982
Externally publishedYes

ASJC Scopus subject areas

  • Biomedical Engineering


Dive into the research topics of 'Detection and Discrimination of Adventitious Frames of Respiratory Sounds*'. Together they form a unique fingerprint.

Cite this