Patents by Inventor Luke Hacquebard

Luke Hacquebard 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 apparatus for determining and/or predicting sleep and respiratory behaviours for management of airway pressure
    Patent number: 11612708
    Abstract: Devices, systems and methods are provided for controlling the operation of a breathing assistance device for a user. The controller may include an input for receiving sensor data to measure at least one airflow parameter of the user's airflow; a memory unit that stores at least one machine learning model and at least one classifier or predictor; and a processor that is configured to perform measurements and to generate a control signal for adjusting the operation of the breathing assistance device for a current monitoring time period by: obtaining measured air pressure and/or airflow data and measured FOT data during a current monitoring time period; performing feature extraction on the measured data to obtain feature values that are used by the machine learning model employed by the at least one classifier or predictor to determine a property of the user; and adjusting the control signal based on the determined property.
    Type: Grant
    Filed: April 22, 2022
    Date of Patent: March 28, 2023
    Assignee: NovaResp Technologies Inc.
    Inventors: Hamed Hanafialamdari, Scott Lowe, Stephen Driscoll, Luke Hacquebard, David Cecil Roach, Klaus Michael Schmidt
  • METHOD & APPARATUS FOR DETERMINING AND/OR PREDICTING SLEEP AND RESPIRATORY BEHAVIOURS FOR MANAGEMENT OF AIRWAY PRESSURE
    Publication number: 20220241530
    Abstract: Devices, systems and methods are provided for controlling the operation of a breathing assistance device for a user. The controller may include an input for receiving sensor data to measure at least one airflow parameter of the user's airflow; a memory unit that stores at least one machine learning model and at least one classifier or predictor; and a processor that is configured to perform measurements and to generate a control signal for adjusting the operation of the breathing assistance device for a current monitoring time period by: obtaining measured air pressure and/or airflow data and measured FOT data during a current monitoring time period; performing feature extraction on the measured data to obtain feature values that are used by the machine learning model employed by the at least one classifier or predictor to determine a property of the user; and adjusting the control signal based on the determined property.
    Type: Application
    Filed: April 22, 2022
    Publication date: August 4, 2022
    Inventors: Hamed Hanafialamdari, Scott Lowe, Stephen Driscoll, Luke Hacquebard, David Cecil Roach, Klaus Michael Schmidt