Patents by Inventor Charles Graham Haver Crissman

Charles Graham Haver Crissman 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).

  • SYSTEMS AND METHODS FOR HYPERTENSION MONITORING
    Publication number: 20210375473
    Abstract: A wearable device can be used for hypertension monitoring. The wearable device can include a motion sensor and an optical sensor. The data from the sensors can be processed in the wearable device and/or by another device in communication with the wearable device to provide an early screening for undiagnosed hypertension. If the screening estimates undiagnosed hypertension for a user, the user can then be notified to seek a proper hypertension diagnosis. The hypertension monitoring can include a first stage to estimate one or more short-term hypertension scores or parameters. The hypertension monitoring can also include a second stage to estimate a long-term hypertension score using accumulated short-term scores/parameters to estimate hypertension.
    Type: Application
    Filed: June 1, 2021
    Publication date: December 2, 2021
    Inventors: Leon Alexander GATYS, Gleb KICHAEV, Charles H. GREENBERG, Charles Graham Haver CRISSMAN, Christopher J. BROUSE
  • Data estimation
    Patent number: 10387785
    Abstract: A method is provided for estimating past data by identifying a high frequency data set for a defined time period. A pattern is calculated for the high frequency data set and then the pattern is applied to a low frequency data set in a past time period to estimate a high frequency query point.
    Type: Grant
    Filed: March 29, 2017
    Date of Patent: August 20, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Muhammad Ali Siddiqui, Charles Graham Haver Crissman, Sanjeev Kewal Verma, Mark Christopher Veronda
  • Data estimation for storing correlated patterns of high frequency data sets
    Patent number: 9619752
    Abstract: A method is provided for estimating past data by identifying a high frequency data set for a defined time period. A pattern is calculated for the high frequency data set and then the pattern is applied to a low frequency data set in a past time period to estimate a high frequency query point.
    Type: Grant
    Filed: August 4, 2015
    Date of Patent: April 11, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Muhammad Ali Siddiqui, Charles Graham Haver Crissman, Sanjeev Kewal Verma, Mark Christopher Veronda
  • Data estimation of historical data that identifies fine grained time period data and coarse grained time period data and applies correlated slopes to time periods
    Patent number: 9104964
    Abstract: A method is provided for estimating past data by identifying a high frequency data set for a defined time period. A pattern is calculated for the high frequency data set and then the pattern is applied to a low frequency data set in a past time period to estimate a high frequency query point.
    Type: Grant
    Filed: November 16, 2012
    Date of Patent: August 11, 2015
    Assignee: Amazon Technologies, Inc.
    Inventors: Muhammad Ali Siddiqui, Charles Graham Haver Crissman, Sanjeev Kewal Verma, Mark Christopher Veronda