Patents by Inventor Cameron RODRIGUEZ

Cameron RODRIGUEZ 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: 10729344
    Abstract: A system and method to extract the timing of ECG events without reliance on ECG. The system and method are based on effects of scalp pulsation (due to blood flow) on electrode location. The electrodes in the system with the closest proximity to the facial arteries are re-referenced to create a [Mean Left-Mean Right] signal (LRM). A constrained peak detection algorithm is then used to find the BCG events. Finally, an automatic error checking and correction algorithm based on inter-beat timing is applied.
    Type: Grant
    Filed: November 18, 2016
    Date of Patent: August 4, 2020
    Assignee: The Regents of the University of California
    Inventors: Cameron Rodriguez, Mark S. Cohen, Agatha Lenartowicz
  • Patent number: 10311598
    Abstract: A method for fully automated localization and channel identification of electroencephalography (EEG) electrodes. The electrode locations are automatically identified from three dimensional images stored in an electronic format, wherein the images may be derived from magnetic resonance imaging (MRI) that render the electrodes visible and object shapes and properties are used to locate the electrodes in the three dimensional images. The three dimensional images also show the brain in detail, such that the relationship of the electrodes to the brain is available, thereby making it possible to better identify electrical sources within the brain that create the EEG signals.
    Type: Grant
    Filed: May 16, 2014
    Date of Patent: June 4, 2019
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Cameron Rodriguez, Mark Cohen
  • Publication number: 20170065196
    Abstract: A system and method to extract the timing of ECG events without reliance on ECG. The system and method are based on effects of scalp pulsation (due to blood flow) on electrode location. The electrodes in the system with the closest proximity to the facial arteries are re-referenced to create a [Mean Left-Mean Right] signal (LRM). A constrained peak detection algorithm is then used to find the BCG events. Finally, an automatic error checking and correction algorithm based on inter-beat timing is applied.
    Type: Application
    Filed: November 18, 2016
    Publication date: March 9, 2017
    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Cameron Rodriguez, Mark S. Cohen, Agatha Lenartowicz
  • Publication number: 20140341456
    Abstract: A method for fully automated localization and channel identification of electroencephalography (EEG) electrodes. The electrode locations are automatically identified from three dimensional images stored in an electronic format, wherein the images may be derived from magnetic resonance imaging (MRI) that render the electrodes visible and object shapes and properties are used to locate the electrodes in the three dimensional images. The three dimensional images also show the brain in detail, such that the relationship of the electrodes to the brain is available, thereby making it possible to better identify electrical sources within the brain that create the EEG signals.
    Type: Application
    Filed: May 16, 2014
    Publication date: November 20, 2014
    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Cameron RODRIGUEZ, Mark COHEN