Patents by Inventor Dror Lederman

Dror Lederman 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: 10912494
    Abstract: A sensor interface circuit enables signal reconstruction on data received from a sensor prior to sending the data to various sensor clients. Multiple sensor clients have different frequencies configured to receive sensor data. The sensor interface circuit performs signal reconstructions including data interpolation to generate interpolated data signal having frequencies corresponding to the different frequencies configured for the different sensor clients. Signal reconstruction can also include filtering the data. The sensor interface circuit sends the reconstructed data to the multiple clients in accordance with their different frequencies.
    Type: Grant
    Filed: August 10, 2016
    Date of Patent: February 9, 2021
    Assignee: Intel Corporation
    Inventors: Ke Han, Dong Wang, He Han, Dror Lederman, Lev Lavy, Yehiel Shilo
  • Publication number: 20180353106
    Abstract: A sensor interface circuit enables signal reconstruction on data received from a sensor prior to sending the data to various sensor clients. Multiple sensor clients have different frequencies configured to receive sensor data. The sensor interface circuit performs signal reconstructions including data interpolation to generate interpolated data signal having frequencies corresponding to the different frequencies configured for the different sensor clients. Signal reconstruction can also include filtering the data. The sensor interface circuit sends the reconstructed data to the multiple clients in accordance with their different frequencies.
    Type: Application
    Filed: August 10, 2016
    Publication date: December 13, 2018
    Inventors: Ke HAN, Dong WANG, He HAN, Dror LEDERMAN, Lev LAVY, Yehiel SHILO
  • Publication number: 20180249967
    Abstract: Devices (100), systems (200), and methods for automatically evaluating a potential stroke condition in a subject are disclosed and described.
    Type: Application
    Filed: September 25, 2015
    Publication date: September 6, 2018
    Applicant: Intel Corporation
    Inventors: Dror Lederman, Matan Touti, Ke Han
  • Patent number: 9365883
    Abstract: A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRSA from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.
    Type: Grant
    Filed: December 19, 2012
    Date of Patent: June 14, 2016
    Assignees: OPTICUL DIAGNOSTICS LTD., OPTICUL DIAGNOSTICS INC.
    Inventors: Gallya Gannot, Dror Lederman, Hassan Moinuddin, Israel Gannot
  • Publication number: 20140377795
    Abstract: A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRSA from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.
    Type: Application
    Filed: December 19, 2012
    Publication date: December 25, 2014
    Inventors: Gallya Gannot, Dror Lederman, Moinuddin Hassan, Israel Gannot
  • Publication number: 20120116156
    Abstract: A medical device includes a tube, at least one imaging sensor coupled to an endoscope in the tube, and a monitor application to monitor positioning of the tube in a medical patient by identifying expected anatomical features in images provided by the at least one sensor. A method for endotracheal intubation includes receiving imaging frames from a sensor located in an endotracheal tube inserted through a patient's mouth, and processing the imaging frames to identify a progression of anatomical features consistent with a proper placement of the endotracheal tube.
    Type: Application
    Filed: April 27, 2010
    Publication date: May 10, 2012
    Inventor: Dror Lederman