Detection of airway obstructions and sleep apnea by analyzing the phase relation of respiration movement signals

Péter Várady, Szabolcs Bongár, Z. Benyó

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

This paper presents a novel computer-aided diagnostic method of sleep apnea syndrome, a very common respiration disorder. Apnea diagnostics require long-term, multi-channel vital signal recording called polysomnography. Although various methods already exist for the computer-aided analysis of the polysomnograms, only some of them can detect the type of apnea precisely enough (i.e., central versus obstructive episodes). The system introduced in this paper processes only the thoracic and abdominal excursion signals and can distinguish between obstructive and central episodes of apnea. The main novelty is that the phase difference between the two respiration signals is considered in order to determine the presence and grade of obstructive apnea. Central apnea is recognized if no or only very small respiration movements occur. Unlike many existing systems, the presented signal processing allows on-line implementation, which plays an important role in many clinical applications.

Original languageEnglish
Pages (from-to)2-6
Number of pages5
JournalIEEE Transactions on Instrumentation and Measurement
Volume52
Issue number1
DOIs
Publication statusPublished - Feb 2003

Fingerprint

Computer aided analysis
sleep
respiration
Signal processing
Sleep
signal processing
grade
recording
disorders

Keywords

  • Phase difference detection
  • Polysomnography
  • Sleep apnea

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

Detection of airway obstructions and sleep apnea by analyzing the phase relation of respiration movement signals. / Várady, Péter; Bongár, Szabolcs; Benyó, Z.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 52, No. 1, 02.2003, p. 2-6.

Research output: Contribution to journalArticle

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