2 research outputs found
Screening of Obstructive Sleep Apnea with Empirical Mode Decomposition of Pulse Oximetry
Detection of desaturations on the pulse oximetry signal is of great
importance for the diagnosis of sleep apneas. Using the counting of
desaturations, an index can be built to help in the diagnosis of severe cases
of obstructive sleep apnea-hypopnea syndrome. It is important to have automatic
detection methods that allows the screening for this syndrome, reducing the
need of the expensive polysomnography based studies. In this paper a novel
recognition method based on the empirical mode decomposition of the pulse
oximetry signal is proposed. The desaturations produce a very specific wave
pattern that is extracted in the modes of the decomposition. Using this
information, a detector based on properly selected thresholds and a set of
simple rules is built. The oxygen desaturation index constructed from these
detections produces a detector for obstructive sleep apnea-hypopnea syndrome
with high sensitivity () and specificity () and yields better
results than standard desaturation detection approaches.Comment: Accepted in Medical Engineering and Physic