Patents by Inventor Colin M. MacNabb

Colin M. MacNabb 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).

  • METHODS AND DEVICES FOR DISPLAYING TREND AND VARIABILITY IN A PHYSIOLOGICAL DATASET
    Publication number: 20190333257
    Abstract: Embodiments of the invention are directed to methods and devices for displaying trends and variability in a physiological dataset. The method comprises obtaining the physiological dataset, applying a smoothing algorithm to the physiological dataset to obtain a trend of the physiological dataset, applying a variability algorithm to the physiological dataset to obtain the variability of the physiological dataset, outputting a graph of the trend of the physiological dataset, and outputting a graph of the variability of the physiological dataset.
    Type: Application
    Filed: July 8, 2019
    Publication date: October 31, 2019
    Applicant: Respiratory Motion, Inc.
    Inventors: Jordan Brayanov, Malcolm Bock, Michael Lalli, Jenny Freeman, Colin M. MacNabb
  • Methods and devices for displaying trend and variability in a physiological dataset
    Patent number: 10347020
    Abstract: Embodiments of the invention are directed to methods and devices for displaying trends and variability in a physiological dataset. The method comprises obtaining the physiological dataset, applying a smoothing algorithm to the physiological dataset to obtain a trend of the physiological dataset, applying a variability algorithm to the physiological dataset to obtain the variability of the physiological dataset, outputting a graph of the trend of the physiological dataset, and outputting a graph of the variability of the physiological dataset.
    Type: Grant
    Filed: March 9, 2017
    Date of Patent: July 9, 2019
    Assignee: Respiratory Motion, Inc.
    Inventors: Jordan Brayanov, Malcolm Bock, Michael Lalli, Jenny Freeman, Colin M. MacNabb
  • METHODS AND DEVICES FOR DISPLAYING TREND AND VARIABILITY IN A PHYSIOLOGICAL DATASET
    Publication number: 20170213368
    Abstract: Embodiments of the invention are directed to methods and devices for displaying trends and variability in a physiological dataset. The method comprises obtaining the physiological dataset, applying a smoothing algorithm to the physiological dataset to obtain a trend of the physiological dataset, applying a variability algorithm to the physiological dataset to obtain the variability of the physiological dataset, outputting a graph of the trend of the physiological dataset, and outputting a graph of the variability of the physiological dataset.
    Type: Application
    Filed: March 9, 2017
    Publication date: July 27, 2017
    Inventors: Jordan Brayanov, Malcolm Bock, Michael Lalli, Jenny Freeman, Colin M. MacNabb
  • Methods and devices for displaying trend and variability in a physiological dataset
    Patent number: 9595123
    Abstract: Embodiments of the invention are directed to methods and devices for displaying trends and variability in a physiological dataset. The method comprises obtaining the physiological dataset, applying a smoothing algorithm to the physiological dataset to obtain a trend of the physiological dataset, applying a variability algorithm to the physiological dataset to obtain the variability of the physiological dataset, outputting a graph of the trend of the physiological dataset, and outputting a graph of the variability of the physiological dataset.
    Type: Grant
    Filed: March 6, 2015
    Date of Patent: March 14, 2017
    Assignee: Respiratory Motion, Inc.
    Inventors: Jordan Brayanov, Malcolm Bock, Michael Lalli, Jenny Freeman, Colin M. MacNabb
  • METHODS AND DEVICES FOR DISPLAYING TREND AND VARIABILITY IN A PHYSIOLOGICAL DATASET
    Publication number: 20150254880
    Abstract: Embodiments of the invention are directed to methods and devices for displaying trends and variability in a physiological dataset. The method comprises obtaining the physiological dataset, applying a smoothing algorithm to the physiological dataset to obtain a trend of the physiological dataset, applying a variability algorithm to the physiological dataset to obtain the variability of the physiological dataset, outputting a graph of the trend of the physiological dataset, and outputting a graph of the variability of the physiological dataset.
    Type: Application
    Filed: March 6, 2015
    Publication date: September 10, 2015
    Inventors: Jordan Brayanov, Malcolm Bock, Mike Lalli, Jenny Freeman, Colin M. MacNabb