Patents Assigned to THE SALK INSTITUTE FOR BIOLOGICAL STUDIES INTELLECTUAL PROPERTY AND TECHNOLOGY
  • Automated detection of sleep and waking states
    Patent number: 11690557
    Abstract: Determining low power frequency range information from spectral data. Raw signal data can be adjusted to increase dynamic range for power within low power frequency ranges as compared to higher-power frequency ranges to determine adjusted source data valuable for acquiring low power frequency range information. Low power frequency range information can be used in the analysis of a variety of raw signal data. For example, low power frequency range information within electroencephalography data for a subject from a period of sleep can be used to determine sleep states. Similarly, automated full-frequency spectral electroencephalography signal analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, and determining the effect of medication on sleep states.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: July 4, 2023
    Assignee: The Salk Institute For Biological Studies Intellectual Property And Technology Transfer
    Inventor: Philip Low
  • Cancer Therapies and Diagnostics
    Publication number: 20140018302
    Abstract: Compositions and methods for increasing p53-dependent transcriptional activity in a cell.
    Type: Application
    Filed: November 14, 2011
    Publication date: January 16, 2014
    Applicants: THE SALK INSTITUTE FOR BIOLOGICAL STUDIES INTELLECTUAL PROPERTY AND TECHNOLOGY, DANA FARBER CANCER INSTITUTE, INC.
    Inventors: Loren D. Walensky, Federico Bernal, Geoffrey Wahl, Mark Wade
  • AUTOMATED DETECTION OF SLEEP AND WAKING STATES
    Publication number: 20120029378
    Abstract: Determining low power frequency range information from spectral data. Raw signal data can be adjusted to increase dynamic range for power within low power frequency ranges as compared to higher-power frequency ranges to determine adjusted source data valuable for acquiring low power frequency range information. Low power frequency range information can be used in the analysis of a variety of raw signal data. For example, low power frequency range information within electroencephalography data for a subject from a period of sleep can be used to determine sleep states. Similarly, automated full-frequency spectral electroencephalography signal analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, and determining the effect of medication on sleep states.
    Type: Application
    Filed: October 10, 2011
    Publication date: February 2, 2012
    Applicant: SALK INSTITUTE FOR BIOLOGICAL STUDIES, THE INTELLECTUAL PROPERTY AND TECHNOLOGY TRANSFER
    Inventor: Philip Low