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Method of characterizing sleep disordered breathing

A characterization, sleep technology, applied in the evaluation of respiratory organs, medical science, diagnosis, etc., can solve problems such as designing filters, complex decision logic, etc.

Active Publication Date: 2019-08-09
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the obvious disadvantage of this approach is the need to design filters and complex decision logic

Method used

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  • Method of characterizing sleep disordered breathing
  • Method of characterizing sleep disordered breathing
  • Method of characterizing sleep disordered breathing

Examples

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Embodiment Construction

[0028] As used herein, the singular forms "a", "an" and "the" include plural referents unless the context clearly dictates otherwise. As used herein, the statement that two or more components or components are "coupled" shall mean that these components are directly or indirectly (ie, through one or more intermediate components or components, wherever linkage occurs) connected or operate together. As used herein, "directly coupled" means that two elements are in direct contact with each other. As used herein, "fixedly coupled" or "fixed" means that two components are coupled so as to move as one while maintaining a constant orientation relative to each other.

[0029] As used herein, the word "monolithic" means that a component is created as a single block or unit. That is, a component that includes blocks that are created separately and then coupled together as a unit is not a "monolithic" component or body. As used herein, the statement that two or more parts or components ...

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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.

Description

technical field [0001] The present invention relates to methods and devices for monitoring breathing during sleep periods, and in particular to methods of characterizing Sleep Disordered Breathing (SDB). Background technique [0002] It is well known that sleep disordered breathing (SDB) can occur due to some type of obstruction in the airways of a patient (ie, an individual suffering from SDB). Based on an anatomical / physiological point of view, the various types of blockages can be distinguished from each other, and specific types of blockages often produce specific types of sounds during SDBs that occur. The distinguishing feature of the sound that occurs during SDB is its spectral signature. For example, the sound may be a palatal snore, which is associated with a low frequency spectrum in the 100-200 Hz range. By way of another example, an SDB event called a wheezing is typically characterized by a sound that may be much higher in the frequency spectrum (perhaps sever...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B7/00A61B5/00
CPCA61B5/6898A61B5/7203A61B5/7267A61B7/003A61B5/08A61B5/4806A61B5/725A61B5/7257A61B5/6887
Inventor A·C·登布林克尔O·奥维尔特杰斯A·G·科尔劳施
Owner KONINKLJIJKE PHILIPS NV
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