Patents by Inventor Robert John Klupacs

Robert John Klupacs 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 AND SYSTEM FOR DETERMINATION OF TREATMENT THERAPEUTIC WINDOW, DETECTION, PREDICTION, AND CLASSIFICATION OF NEUROELECTRICAL, CARDIAC, AND PULMONARY EVENTS, AND OPTIMIZATION OF TREATMENT ACCORDING TO THE SAME
    Publication number: 20230389856
    Abstract: Methods and systems implement a variety of sensors, including in embodiments various combinations of EEG sensors, biochemical sensors, photoplethysmography (PPG) sensors, microphones, and accelerometers, to detect, predict, and/or classify various physiological events and/or conditions related to epilepsy, sleep apnea, and/or vestibular disorders. The events can include neuroelectrical events, cardiac events, and/or pulmonary events, among others. In some cases, the method and systems implement trained artificial intelligence (AI) models to detect, classify, and/or predict. The methods and systems are also capable of optimizing a treatment window, suggesting treatments that may improve the overall well-being of the patient (including improving pre- or post-event symptoms and effects), and/or interacting with various care providers.
    Type: Application
    Filed: November 16, 2021
    Publication date: December 7, 2023
    Inventors: John Michael Heasman, Mark James Cook, Robert John Klupacs, Rohan J. Hoare
  • METHODS AND SYSTEMS FOR DETERMINATION OF TREATMENT THERAPEUTIC WINDOW, DETECTION, PREDICTION, AND CLASSIFICATION OF NEUROELECTRICAL, CARDIAC, AND/OR PULMONARY EVENTS, AND OPTIMIZATION OF TREATMENT ACCORDING TO THE SAME
    Publication number: 20230238100
    Abstract: Methods and systems implement a variety of sensors, including in embodiments various combinations of EEG sensors, biochemical sensors, photoplethysmography (PPG) sensors, microphones, and accelerometers, to detect, predict, and/or classify various physiological events and/or conditions related to epilepsy, sleep apnea, and/or vestibular disorders. The events can include neuroelectrical events, cardiac events, and/or pulmonary events, among others. In some cases, the method and systems implement trained artificial intelligence (AI) models to detect, classify, and/or predict. The methods and systems are also capable of optimizing a treatment window, suggesting treatments that may improve the overall well-being of the patient (including improving pre- or post-event symptoms and effects), and/or interacting with various care providers.
    Type: Application
    Filed: January 24, 2023
    Publication date: July 27, 2023
    Inventors: John Michael Heasman, Mark James Cook, Robert John Klupacs, Rohan Hoare