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1. (WO2018122228) METHOD OF CHARACTERIZING SLEEP DISORDERED BREATHING

Pub. No.:    WO/2018/122228    International Application No.:    PCT/EP2017/084597
Publication Date: Fri Jul 06 01:59:59 CEST 2018 International Filing Date: Thu Dec 28 00:59:59 CET 2017
IPC: A61B 7/00
A61B 5/00
Applicants: KONINKLIJKE PHILIPS N.V.
Inventors: DEN BRINKER, Albertus Cornelis
OUWELTJES, Okke
KOHLRAUSCH, Armin Gerhard
Title: METHOD OF CHARACTERIZING SLEEP DISORDERED BREATHING
Abstract:
A method of characterizing a patient's disordered breathing during a sleeping period includes performing a first partial characterization of a time axis of an audio signal in order to learn the most prominent and highly relevant events. Only at a later stage, i.e., after sufficient observation of the highly relevant events, is a full segmentation of the entire time axis actually carried out. Linear prediction is used to create an excitation signal that is employed to provide better segmentation than would be possible using the original audio signal alone. Warped linear prediction or Laguerre linear prediction is employed to create an accurate spectral representation with flexibility in the details provided in different frequency ranges. A resonance probability function is generated to further characterize the signals in order to identify disordered breathing. An output includes a characterization in any of a variety of forms of identified disordered breathing.