Patents by Inventor EUNICE EUN YOUNG YANG

EUNICE EUN YOUNG YANG 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).

  • SYSTEM FOR MONITORING AND PROVIDING ALERTS OF A FALL RISK BY PREDICTING RISK OF EXPERIENCING SYMPTOMS RELATED TO ABNORMAL BLOOD PRESSURE(S) AND/OR HEART RATE
    Publication number: 20240350098
    Abstract: A method of predicting the risk of experiencing symptoms related to abnormal blood pressure and/or heart rate that includes obtaining subject heart rate variability data representing a number of HRV parameters, wherein the subject HRV data is generated based on heartbeat data obtained from an individual wearing a heart parameter sensor, providing the subject HRV data as an input to an artificial intelligence system, wherein the artificial intelligence system has been previously trained using training and test HRV data representing the number of HRV parameters obtained from a plurality of test subjects, and analyzing temporal data changes in or indicated by the subject HRV data in the artificial intelligence system to determine whether the individual is at risk of experiencing symptoms related to abnormal blood pressure and/or heart rate placing them at risk of a fall.
    Type: Application
    Filed: July 3, 2024
    Publication date: October 24, 2024
    Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
    Inventor: EUNICE EUN YOUNG YANG
  • SYSTEM FOR MONITORING AND PROVIDING ALERTS OF A FALL RISK BY PREDICTING RISK OF EXPERIENCING SYMPTOMS RELATED TO ABNORMAL BLOOD PRESSURE(S) AND/OR HEART RATE
    Publication number: 20210219923
    Abstract: A method of predicting the risk of experiencing symptoms related to abnormal blood pressure and/or heart rate that includes obtaining subject heart rate variability data representing a number of HRV parameters, wherein the subject HRV data is generated based on heartbeat data obtained from an individual wearing a heart parameter sensor, providing the subject HRV data as an input to an artificial intelligence system, wherein the artificial intelligence system has been previously trained using training and test HRV data representing the number of HRV parameters obtained from a plurality of test subjects, and analyzing temporal data changes in or indicated by the subject HRV data in the artificial intelligence system to determine whether the individual is at risk of experiencing symptoms related to abnormal blood pressure and/or heart rate placing them at risk of a fall.
    Type: Application
    Filed: May 7, 2019
    Publication date: July 22, 2021
    Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
    Inventor: EUNICE EUN YOUNG YANG