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Osa/csa diagnosis using recorded breath sound amplitude profile and pitch contour

A breathing sound and amplitude spectrum technology, applied in diagnostic recording/measurement, diagnosis, evaluation of respiratory organs, etc., can solve problems such as unsatisfactory driving technology of snoring sound

Active Publication Date: 2014-03-26
UNIV HEALTH NETWORK
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AI Technical Summary

Problems solved by technology

As knowledge about disease severity may be beneficial in selecting appropriate treatment strategies, snoring-driven techniques may be suboptimal
[0009] Thus, although some work has been done to detect the occurrence of OSA from snoring, there is still a lot of work to be done in the development of reliable techniques for distinguishing the occurrence of OSA from CSA or for fully identifying CSA and / or for assessing the severity of this occurrence. , there is still a lot of room for improvement

Method used

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  • Osa/csa diagnosis using recorded breath sound amplitude profile and pitch contour
  • Osa/csa diagnosis using recorded breath sound amplitude profile and pitch contour
  • Osa/csa diagnosis using recorded breath sound amplitude profile and pitch contour

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Embodiment Construction

[0059] Various methods and devices for the identification, differentiation and / or diagnosis of breathing disorders are described with reference to the disclosure herein and to the accompanying drawings. Various methods and devices are described below that may be used in combination or alone to achieve various levels of breathing disorder identification, differentiation and / or diagnosis. In certain embodiments, such methods and devices rely, at least in part, on breath-related sound analysis. For example, in certain embodiments, the methods and devices described herein can be used to detect sleep apnea by acoustic breath sound analysis, e.g. The severity of the disorder can be quantified, the distinction between OSA and CSA can be made, and / or other relevant identification of the subject's condition can be achieved. Such results represent a significant improvement in providing less invasive methods of sleep apnea identification, differentiation and / or diagnosis, especially com...

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Abstract

Disclosed herein are breathing disorder identification, characterization and diagnosis methods, devices and systems. In general the disclosed methods, devices and systems may rely on the characterization of breath sound amplitudes, periodic breath sounds and / or aperiodic breath sounds to characterize a breathing disorder as obstructive (e.g. obstructive sleep apnea - OSA) or non-obstructive (e.g. central sleep apnea - CSA).

Description

technical field [0001] The present disclosure relates to the detection of respiratory disorders, and in particular to methods, devices and systems for the identification, characterization and diagnosis of respiratory disorders. Background technique [0002] Sleep apnea (SA) is a breathing disorder characterized by repetitive complete or partial cessation of breathing (apnea and hypopnea, respectively) during sleep. Depending on the severity of the condition, the frequency of these events ranges from 5 to 100 per hour. As a result, patients exhibited poor sleep quality, daytime sleepiness, and poor cognitive performance. Sleep apnea can generally be identified as one of two types -- obstructive sleep apnea (OSA) and central sleep apnea (CSA). The most common type of OSA has been observed to increase the risk of developing hypertension, heart failure (HF) and stroke by 3 to 4 times. Furthermore, patients with untreated sleep apnea consume up to twice as many health care res...

Claims

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Application Information

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IPC IPC(8): A61B5/08G06F19/00
CPCA61B5/6803A61B7/003A61B5/4818A61B5/7282A61B5/7475
Inventor 希沙姆·阿尔沙伊尔杰弗里·罗伊·费尔尼耶T·道格拉斯·布雷德利艾哈迈迪·齐亚德·阿克尔
Owner UNIV HEALTH NETWORK
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