ANALYSIS AND CLASSIFICATION OF SNORING SIGNALS.

A. Cohen, A. Leiberman

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

Abstract

The need for a reliable and effective monitoring and analyzing system for the snoring signal stems from the recent awareness of the severity of the problem and from the fact that surgical correction procedures are now available. A preliminary analysis of the snoring signal is presented. Some features describing the signal are presented. The airway area model is suggested as one of the means for estimating the source and location of the obstruction. The preliminary analysis is demonstrated on a signal recorded from a patient suffering from laryngomalacia. It is shown that the suggested analysis describes the special characteristics of the signal.

Original languageEnglish
Pages (from-to)693-696
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
StatePublished - 1 Dec 1986

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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