Patents by Inventor Danny Flanagan

Danny Flanagan 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).

  • Artifact detection in encephalogram data using an event model
    Patent number: 6591132
    Abstract: A machine-readable storage medium containing a program element for execution by a computing device for performing spike and artifact detection in EG data. The program element comprises a spike detection module for processing EG data to detect spikes. Each spike is a candidate having a likelihood of being related to a physiological event of interest. The program element further comprises an artifact detection module. The artifact detection module is operative to compute respective models of events manifested by the respective spikes detected by the spike detection module, to use the computed models to determine which spikes among the spikes detected by the spike detection module have a high likelihood of being artifacts, to filter the spikes detected by the spike detection module on the basis of the computed models to produce filtered data and to output the filtered data.
    Type: Grant
    Filed: November 30, 2001
    Date of Patent: July 8, 2003
    Assignee: Stellate Systems Inc.
    Inventors: Jean Gotman, YunHua Wang, Rajeev Agarwal, Danny Flanagan
  • ARTIFACT DETECTION IN ENCEPHALOGRAM DATA USING AN EVENT MODEL
    Publication number: 20030105408
    Abstract: A machine-readable storage medium containing a program element for execution by a computing device for performing spike and artifact detection in EG data. The program element comprises a spike detection module for processing EG data to detect spikes. Each spike is a candidate having a likelihood of being related to a physiological event of interest. The program element further comprises an artifact detection module. The artifact detection module is operative to compute respective models of events manifested by the respective spikes detected by the spike detection module, to use the computed models to determine which spikes among the spikes detected by the spike detection module have a high likelihood of being artifacts, to filter the spikes detected by the spike detection module on the basis of the computed models to produce filtered data and to output the filtered data.
    Type: Application
    Filed: November 30, 2001
    Publication date: June 5, 2003
    Inventors: Jean Gotman, YunHua Wang, Rajeev Agarwal, Danny Flanagan