Patents by Inventor Enrico Rejc

Enrico Rejc 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).

  • Publication number: 20240050746
    Abstract: The present invention relates to systems and methods for improvement of physiological function in an individual with a spinal cord injury via electrical stimulation of the spinal cord. A 3D model of the spinal cord is used to determine an initial position for an electrode array to deliver stimulation. Spinal cord electrical stimulation is configurable to target different physiological functions with surgical implantation of the neurostimulator at a singular location. Such systems and methods include (i) anatomical specificity to target the appropriate region of the spinal cord for stimulation, (ii) electrical specificity to provide the appropriate stimulation by delivery method, frequency, pulse duration, and other factors, and (iii) physiological specificity to evoke, suppress, increase, or decrease a specific physiological result.
    Type: Application
    Filed: August 10, 2023
    Publication date: February 15, 2024
    Inventors: Claudia Angeli, Charles Hubscher, Gail F. Forrest, Enrico Rejc, Susan J. Harkema, Maxwell Boakye, Yury Gerasimenko
  • Publication number: 20230417851
    Abstract: An automated segmentation system for medical imaging data segments data into muscle and fat volumes, and separates muscle volumes into discrete muscle group volumes using a plurality of models of the medical imaging data, and wherein the medical imaging data includes data from a plurality of imaging modalities.
    Type: Application
    Filed: May 25, 2023
    Publication date: December 28, 2023
    Applicant: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Susan J. Harkema, Enrico Rejc, Ahmed Shalaby, Samineh Mesbah
  • Publication number: 20230200713
    Abstract: Computer-implemented systems and methods for determining epidural spinal stimulation parameters that promote muscle activation use spectral analysis and machine learning techniques to characterize electromyography data.
    Type: Application
    Filed: February 28, 2023
    Publication date: June 29, 2023
    Inventors: Susan J. Harkema, Enrico Rejc, Samineh Mesbah
  • Patent number: 11675039
    Abstract: An automated segmentation system for medical imaging data segments data into muscle and fat volumes, and separates muscle volumes into discrete muscle group volumes using a plurality of models of the medical imaging data, and wherein the medical imaging data includes data from a plurality of imaging modalities.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: June 13, 2023
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Susan J. Harkema, Enrico Rejc, Ahmed Shalaby, Samineh Mesbah
  • Patent number: 11622711
    Abstract: Computer-implemented systems and methods for determining epidural spinal stimulation parameters that promote muscle activation use spectral analysis and machine learning techniques to characterize electromyography data.
    Type: Grant
    Filed: June 19, 2020
    Date of Patent: April 11, 2023
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Susan J. Harkema, Enrico Rejc, Samineh Mesbah
  • Publication number: 20220193415
    Abstract: A closed loop system for control of spinal cord epidural stimulation includes a second controller hosting software for receiving, from at least one sensor, physiological data from a subject, generating a stimulation configuration based on the data, and transmitting the configuration to a first controller which operatively causes a neurostimulator to apply the stimulation configuration to the subject, the physiological results of such stimulation are monitored by the at least one sensor.
    Type: Application
    Filed: April 4, 2020
    Publication date: June 23, 2022
    Applicant: UNIVERSITY OF LOUISVILLE RESEARCH FOUNDATION, INC.
    Inventors: SUSAN J. HARKEMA, ENRICO REJC, CLAUDIA ANGELI, CHARLES H. HUBSCHER, APRIL N. HERRITY, YANGSHENG CHEN, SEVDA G. ASLAN
  • Publication number: 20210156943
    Abstract: An automated segmentation system for medical imaging data segments data into muscle and fat volumes, and separates muscle volumes into discrete muscle group volumes using a plurality of models of the medical imaging data, and wherein the medical imaging data includes data from a plurality of imaging modalities.
    Type: Application
    Filed: December 10, 2018
    Publication date: May 27, 2021
    Inventors: Ayman S. El-Baz, Susan J. Harkema, Enrico Rejc, Ahmed Shalaby, Samineh Mesbah
  • Publication number: 20200402664
    Abstract: Computer-implemented systems and methods for determining epidural spinal stimulation parameters that promote muscle activation use spectral analysis and machine learning techniques to characterize electromyography data.
    Type: Application
    Filed: June 19, 2020
    Publication date: December 24, 2020
    Inventors: Susan J. Harkema, Enrico Rejc, Samineh Mesbah