Invention Grant
- Patent Title: Multi-parametric analysis of snore sounds for the community screening of sleep apnea with non-Gaussianity index
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Application No.: US14518869Application Date: 2014-10-20
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Publication No.: US10007480B2Publication Date: 2018-06-26
- Inventor: Udantha Abeyratne , Asela Samantha Karunajeewa , Houman Ghaemmaghami
- Applicant: The University of Queensland
- Applicant Address: AU Brisbane
- Assignee: THE UNIVERSITY OF QUEENSLAND
- Current Assignee: THE UNIVERSITY OF QUEENSLAND
- Current Assignee Address: AU Brisbane
- Agency: Nixon & Vanderhye PC
- Priority: AU2008906383 20081210; AU2009901558 20090409
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F3/16 ; A61B7/00 ; G10L25/90 ; G06N7/00 ; A61B5/00

Abstract:
A parameter quantifying deviation from Gaussianity distribution of a patient's sounds, in the form of a non-Gaussianity distribution index, may be used to assist in diagnosis of sleep dysfunction such as OSAHS. A method for diagnosing a sleeping disorder of a subject includes processing a digitized audio signal from the subject with at least one electronic processor. The processing includes estimating a parameter quantifying deviation from Gaussianity distribution of the audio signal. in the form of a non-Gaussianity Index (NGI). The NGI value is then applied to a diagnostic model. The presence of a sleeping disorder is then indicated based on the output of the diagnostic model.
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