Patents by Inventor Udantha Abeyratne

Udantha Abeyratne has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10007480
    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.
    Type: Grant
    Filed: October 20, 2014
    Date of Patent: June 26, 2018
    Assignee: THE UNIVERSITY OF QUEENSLAND
    Inventors: Udantha Abeyratne, Asela Samantha Karunajeewa, Houman Ghaemmaghami
  • Publication number: 20150039110
    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.
    Type: Application
    Filed: October 20, 2014
    Publication date: February 5, 2015
    Inventors: Udantha ABEYRATNE, Asela Samantha KARUNAJEEWA, Houman GHAEMMAGHAMI
  • Patent number: 8880207
    Abstract: An apparatus for diagnosing sleep disorders such as OASHS from snore sounds includes a segmentation module (126) coupled to a data logger (124) to provide segments of the digitized audio signal to a Snore Segment Identifier (128). A total airways response (TAR) module (130), pitch calculator (132), and MFCC calculator (134) are each coupled to an output side of the snore segment identifier module (128). Each of these modules is respectively arranged to calculate pitch, bispectrum, diagonal slice, and MFCC parameters for the snore segments received from the snore segment identifier (128). Similarly, the NGI calculator (136) produces a non-Gaussianity index for the digitized audio signal. A classification module (144) is arranged to process the calculated parameters and compare a resulting diagnosis probability to a predetermined threshold value.
    Type: Grant
    Filed: December 10, 2009
    Date of Patent: November 4, 2014
    Assignee: The University of Queensland
    Inventors: Udantha Abeyratne, Asela Samantha Karunajeewa, Houman Ghaemmaghami
  • Publication number: 20120004749
    Abstract: An apparatus for diagnosing sleep disorders such as OASHS from snore sounds includes a segmentation module (126) coupled to a data logger (124) to provide segments of the digitized audio signal to a Snore Segment Identifier (128). A total airways response (TAR) module (130), pitch calculator (132) and MFCC calculator (134) are each coupled to an output side of the snore segment identifier module (128). Each of these modules is respectively arranged to calculate pitch, bispectrum, diagonal slice and MFCC parameters for the snore segments received from the snore segment identifier (128). Similarly, the NGI calculator (136) produces a non-Gaussianity index for the digitized audio signal. A classification module (144) is arranged to process the calculated parameters and compare a resulting diagnosis probability to a predetermined threshold value.
    Type: Application
    Filed: December 10, 2009
    Publication date: January 5, 2012
    Applicant: The University of Queensland
    Inventors: Udantha Abeyratne, Asela Samantha Karunajeewa, Houman Ghaemmaghami
  • Publication number: 20110301487
    Abstract: An apparatus is provided for detecting Macro Sleep Architecture states of a subject such as WAKE, NREM and REM sleep from a subject's EEG. The apparatus includes an EEG digital signal assembly of modules arranged to convert analogue EEG signals into digital EEG signals. A bispectrum assembly is responsive to the EEG digital signal assembly and converts the digital EEG signals into signals representing corresponding bispectrum values. A bispectrum time series assembly, in electrical communication with an output side of the bispectrum assembly, generates at least one bispectrum time series for a predetermined frequency. A macro-sleep architecture (MSA) assembly is responsive to the bispectrum time series assembly and is arranged to produce classification signals indicating classification of segments of the EEG signals into macro-sleep states of the subject.
    Type: Application
    Filed: November 27, 2009
    Publication date: December 8, 2011
    Applicant: The University of Queensland
    Inventors: Udantha Abeyratne, Vinayak Swarnkar