Patents by Inventor Najib Ben-Brahim

Najib Ben-Brahim 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).

  • Method, system and computer readable medium for predictive hypoglycemia detection for mild to moderate exercise
    Patent number: 11950935
    Abstract: A system for generating a hypoglycemia risk signal associated with exercise-induced Hypoglycemia. The system can include a processor configured to obtain a blood glucose signal (BGstart), a ratio of absolute insulin on board over total daily insulin signal (IOBabs/TDI), and an initial glycemic slope signal (S0); generate a hypoglycemia risk signal based on a hypoglycemia prediction algorithm that determines the probability of a user being hypoglycemic during or after exercise based on the obtained BGstart, IOBabs/TDI and S0.
    Type: Grant
    Filed: February 8, 2023
    Date of Patent: April 9, 2024
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Marc D. Breton, Najib Ben-Brahim
  • METHOD, SYSTEM AND COMPUTER READABLE MEDIUM FOR PREDICTIVE HYPOGLYCEMIA DETECTION FOR MILD TO MODERATE EXERCISE
    Publication number: 20230181123
    Abstract: A system for generating a hypoglycemia risk signal associated with exercise-induced Hypoglycemia. The system can include a processor configured to obtain a blood glucose signal (BGstart), a ratio of absolute insulin on board over total daily insulin signal (IOBabs/TDI), and an initial glycemic slope signal (S0); generate a hypoglycemia risk signal based on a hypoglycemia prediction algorithm that determines the probability of a user being hypoglycemic during or after exercise based on the obtained BGstart, IOBabs/TDI and S0.
    Type: Application
    Filed: February 8, 2023
    Publication date: June 15, 2023
    Applicant: University of Virginia Patent Foundation
    Inventors: Marc D. BRETON, Najib BEN-BRAHIM
  • Method, system and computer readable medium for predictive hypoglycemia detection for mild to moderate exercise
    Patent number: 11666287
    Abstract: A system for generating a hypoglycemia risk signal associated with exercise-induced Hypoglycemia. The system can include a processor configured to obtain a blood glucose signal (BGstart), a ratio of absolute insulin on board over total daily insulin signal (IOBabs/TDI), and an initial glycemic slope signal (S0); generate a hypoglycemia risk signal based on a hypoglycemia prediction algorithm that determines the probability of a user being hypoglycemic during or after exercise based on the obtained BGstarts, IOBabs/TDI and S0.
    Type: Grant
    Filed: September 20, 2019
    Date of Patent: June 6, 2023
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Marc D. Breton, Najib Ben-Brahim
  • METHOD, SYSTEM AND COMPUTER READABLE MEDIUM FOR PREDICTIVE HYPOGLYCEMIA DETECTION FOR MILD TO MODERATE EXERCISE
    Publication number: 20200015757
    Abstract: A system for generating a hypoglycemia risk signal associated with exercise-induced Hypoglycemia. The system can include a processor configured to obtain a blood glucose signal (BGstart), a ratio of absolute insulin on board over total daily insulin signal (IOBabs/TDI), and an initial glycemic slope signal (S0); generate a hypoglycemia risk signal based on a hypoglycemia prediction algorithm that determines the probability of a user being hypoglycemic during or after exercise based on the obtained BGstarts, IOBabs/TDI and S0.
    Type: Application
    Filed: September 20, 2019
    Publication date: January 16, 2020
    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Marc D. BRETON, Najib BEN-BRAHIM
  • Method, system and computer readable medium for predictive hypoglycemia detection for mild to moderate exercise
    Patent number: 10456086
    Abstract: A system, method and non-transient computer readable medium for predicting hypoglycemic risk in patients with diabetes following moderate exercise. A system may include a digital processor; and an exercise module configured to generate a hypoglycemia risk signal with a hypoglycemia prediction algorithm and to determine a hypoglycemia risk state with a classifier algorithm that classifies the hypoglycemia risk signal to identify an actionable hypoglycemia risk state based on a predefined threshold.
    Type: Grant
    Filed: August 31, 2016
    Date of Patent: October 29, 2019
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Marc D. Breton, Najib Ben-Brahim