Patents by Inventor Travis White-Schwoch

Travis White-Schwoch 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: 11969256
    Abstract: The present disclosure provides methods for identifying non-penetrating brain injury in a subject, as well as methods for classifying a subject that received a hit to the body that transmitted an impulsive force to the brain as either having a non-penetrating brain injury or not, by analyzing one or more components of frequency-following response (FFR) following administration of an acoustic stimulus to the subject. In addition, the present disclosure provides methods for assessing a subject's recovery from a non-penetrating brain injury. Also disclosed herein are processes and systems for automatically generating acoustic stimuli and processing brain response data to identify non-penetrating brain injuries in subjects.
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: April 30, 2024
    Assignee: Northwestern University
    Inventors: Nina Kraus, Jennifer Lynn Krizman, Trent George Nicol, Travis White-Schwoch
  • Patent number: 11759140
    Abstract: The present disclosure relates to methods for evaluating the sound quality of a digital engineering process by, in part, measuring the frequency following response (FFR) of the human auditory system elicited by identical auditory stimuli (e.g., a musical interval) encoded with variations of a digital signal processing technique (e.g., various sampling rates). Once measured, the FFR may be analyzed to determine the comparative effect of each digital signal processing technique on a human subject's ability to process complex stimuli presented by the digital engineering process.
    Type: Grant
    Filed: September 26, 2018
    Date of Patent: September 19, 2023
    Assignee: Northwestern University
    Inventors: Nina Kraus, Trent George Nicol, Jennifer Lynn Krizman, Travis White-Schwoch
  • Publication number: 20220369997
    Abstract: Central nervous (“CNS”) health in subjects who have human immunodeficiency virus (“HIV”) or non-human-species analogs thereof is 102 evaluated or otherwise monitored by analyzing frequency following response (“FFR”). In general, one or more components of an FFR are analyzed, The FFR is measured in response to the administration of an acoustic stimulus to the subject. The acoustic stimulus includes a complex sound, which may include a consonant and a consonant-to-vowel transition. An indication of CNS health can be generated by measuring changes in the FFR components (e.g., over time or relative to normative data).
    Type: Application
    Filed: June 8, 2020
    Publication date: November 24, 2022
    Inventors: Nina Kraus, Jay C. Buckey, Abigail M. Fellows, Jennifer L. Krizman, Trent G. Nicol, Catherine C. Rieke, Travis White-Schwoch
  • Publication number: 20210121119
    Abstract: The present disclosure provides methods for identifying non-penetrating brain injury in a subject, as well as methods for classifying a subject that received a hit to the body that transmitted an impulsive force to the brain as either having a non-penetrating brain injury or not, by analyzing one or more components of frequency-following response (FFR) following administration of an acoustic stimulus to the subject. In addition, the present disclosure provides methods for assessing a subject's recovery from a non-penetrating brain injury. Also disclosed herein are processes and systems for automatically generating acoustic stimuli and processing brain response data to identify non-penetrating brain injuries in subjects.
    Type: Application
    Filed: August 24, 2018
    Publication date: April 29, 2021
    Inventors: Nina Kraus, Jennifer Lynn Krizman, Trent George Nicol, Travis White-Schwoch
  • Publication number: 20200305755
    Abstract: The present disclosure relates to methods for evaluating the sound quality of a digital engineering process by, in part, measuring the frequency following response (FFR) of the human auditory system elicited by identical auditory stimuli (e.g., a musical interval) encoded with variations of a digital signal processing technique (e.g., various sampling rates). Once measured, the FFR may be analyzed to determine the comparative effect of each digital signal processing technique on a human subject's ability to process complex stimuli presented by the digital engineering process.
    Type: Application
    Filed: September 26, 2018
    Publication date: October 1, 2020
    Inventors: Nina Kraus, Trent George Nicol, Jennifer Lynn Krizman, Travis White-Schwoch
  • Patent number: 10607737
    Abstract: Disclosed systems and methods analyze a complex auditory response to generate a particular model for a behavioral outcome. An example method includes analyzing one or more response to a complex stimulus to identify regions in each response and peaks in each region. The example method includes constructing a behavioral outcome model based on region and peak information by evaluating a plurality of parameters based on the information associated with the regions and peaks and applying a best fit analysis to include and/or exclude parameters from the plurality of parameters to determine parameters and relationship between the parameters to form the model. The example method includes facilitating application of the model to generate a score by obtaining values for the parameters forming the model and combining the values according to the relationship between the parameters specified in the model, the score indicative of the behavior outcome with respect to at least one first subject.
    Type: Grant
    Filed: January 20, 2016
    Date of Patent: March 31, 2020
    Assignee: Northwestern University
    Inventors: Nina Kraus, Trent Nicol, Travis White-Schwoch
  • Publication number: 20160217267
    Abstract: Disclosed systems and methods analyze a complex auditory response to generate a particular model for a behavioral outcome. An example method includes analyzing one or more response to a complex stimulus to identify regions in each response and peaks in each region. The example method includes constructing a behavioral outcome model based on region and peak information by evaluating a plurality of parameters based on the information associated with the regions and peaks and applying a best fit analysis to include and/or exclude parameters from the plurality of parameters to determine parameters and relationship between the parameters to form the model. The example method includes facilitating application of the model to generate a score by obtaining values for the parameters forming the model and combining the values according to the relationship between the parameters specified in the model, the score indicative of the behavior outcome with respect to at least one first subject.
    Type: Application
    Filed: January 20, 2016
    Publication date: July 28, 2016
    Inventors: Nina Kraus, Trent Nicol, Travis White-Schwoch