Patents by Inventor Peter Hickman

Peter Hickman 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: 20240118259
    Abstract: In an aspect, disclosed herein are physiological devices and systems, and components thereof, used to evaluate cardiac parameters and arrhythmogenic mechanisms. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.
    Type: Application
    Filed: March 24, 2023
    Publication date: April 11, 2024
    Inventors: James HICKMAN, Maria STANCESCU, Peter MOLNAR, Christopher LONG, Christopher McAleer
  • Patent number: 7539580
    Abstract: A computer implemented method for examining data from a chemical analyzer for artifactual results is provided. A set of rules are established to identify artifactual results based upon experience with the analyzer. Each rule can be associated with a sample collection or testing problem which potentially caused the artifactual result. Using these rules, output data from the analyzer can be tested to see if any of the rules are satisfied. If a rule is satisfied, then an artifactual result can be indicated, as well as the potential cause of the artifactual result. An output file can be created which indicates the artifactual data samples and the potential artifactual causes. The rules file and output file may be provided in a user-friendly format, such as in a spreadsheet or database application format.
    Type: Grant
    Filed: August 1, 2005
    Date of Patent: May 26, 2009
    Assignee: University of Cincinnati
    Inventors: Amadeo J. Pesce, Marios M. Polycarpou, Zhong Wang, Goce Dimeski, Peter Hickman
  • Publication number: 20050261840
    Abstract: A method and apparatus for examining data from a chemical analyzer for artifactual results. A set of rules are established to identify artifactual results based upon experience with the analyzer. Moreover, each rule can be associated with a sample collection or testing problem which potentially caused the artifactual result. Using these rules, output data from the analyzer can be tested to see if any of the rules are satisfied. If a rule is satisfied, then an artifactual result can be indicated, as well as the potential cause of the artifactual result. An output file can be created which indicates the artifactual data samples and the potential artifactual causes. Preferably, the rules are provided in a user-modifiable data file, so that the rules may be modified based upon additional experience. The rules file and output file are also preferably provided in a user-friendly format, such as in a spreadsheet or database application format for example.
    Type: Application
    Filed: August 1, 2005
    Publication date: November 24, 2005
    Inventors: Amadeo Pesce, Marios Polycarpou, Zhong Wang, Goce Dimeski, Peter Hickman
  • Patent number: 6925391
    Abstract: A method and apparatus for examining data from a chemical analyzer for artifactual results. A set of rules are established to identify artifactual results based upon experience with the analyzer. Moreover, each rule can be associated with a sample collection or testing problem which potentially caused the artifactual result. Using these rules, output data from the analyzer can be tested to see if any of the rules are satisfied. If a rule is satisfied, then an artifactual result can be indicated, as well as the potential cause of the artifactual result. An output file can be created which indicates the artifactual data samples and the potential artifactual causes. Preferably, the rules are provided in a user-modifiable data file, so that the rules may be modified based upon additional experience.
    Type: Grant
    Filed: November 14, 2000
    Date of Patent: August 2, 2005
    Assignees: University of Cincinnati, The State of Queensland
    Inventors: Amadeo J. Pesce, Marios M. Polycarpou, Zhong Wang, Goce Dimeski, Peter Hickman