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.
|Number of pages||5|
|Journal||IEEE Transactions on Instrumentation and Measurement|
|Publication status||Published - Feb 1 2003|
- Phase difference detection
- Sleep apnea
ASJC Scopus subject areas
- Electrical and Electronic Engineering