Patents by Inventor Matan HALEVI

Matan HALEVI 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).

  • Estimation of sleep quality parameters from whole night audio analysis
    Patent number: 11712198
    Abstract: The present invention relates to a system and method for determining sleep quality parameters according to audio analyses, comprising: obtaining an audio recorded signal comprising sleep sounds of a subject; segmenting the signal into epochs; generating a feature vector for each epoch, wherein each of said feature vectors comprises one or more feature parameters that are associated with a particular characteristic of the signal and that are calculated according to the epoch signal or according to a signal generated from the epoch signal; inputting the generated feature vectors into a machine learning classifier and applying a preformed classifying model on the feature vectors that outputs a probabilities vector for each epoch, wherein each of the probabilities vectors comprises the probabilities of the epoch being each of the sleep quality parameters; inputting the probabilities vectors for each epoch into a machine learning time series model and applying a preformed sleep quality time series pattern function
    Type: Grant
    Filed: July 11, 2017
    Date of Patent: August 1, 2023
    Assignees: B.G. NEGEV TECHNOLOGIES AND APPLICATIONS LTD., AT BEN-GURION UNIVERSITY, MOR RESEARCH APPLICATIONS LTD.
    Inventors: Eliran Dafna, Yaniv Zigel, Dvir Ben Or, Matan Halevi, Ariel Tarasiuk
  • ESTIMATION OF SLEEP QUALITY PARAMETERS FROM WHOLE NIGHT AUDIO ANALYSIS
    Publication number: 20200093423
    Abstract: The present invention relates to a system and method for determining sleep quality parameters according to audio analyses, comprising: obtaining an audio recorded signal comprising sleep sounds of a subject; segmenting the signal into epochs; generating a feature vector for each epoch, wherein each of said feature vectors comprises one or more feature parameters that are associated with a particular characteristic of the signal and that are calculated according to the epoch signal or according to a signal generated from the epoch signal; inputting the generated feature vectors into a machine learning classifier and applying a preformed classifying model on the feature vectors that outputs a probabilities vector for each epoch, wherein each of the probabilities vectors comprises the probabilities of the epoch being each of the sleep quality parameters; inputting the probabilities vectors for each epoch into a machine learning time series model and applying a preformed sleep quality time series pattern function
    Type: Application
    Filed: July 11, 2017
    Publication date: March 26, 2020
    Inventors: Eliran DAFNA, Yaniv ZIGEL, Dvir BEN OR, Matan HALEVI, Ariel TARASIUK