Patents by Inventor Damian P. Redfearn

Damian P. Redfearn 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).

  • Patent number: 11911095
    Abstract: A method for generating a propagation and velocity maps for cardiac wavefront propagation including cardiac arrhythmia, sinus rhythm, and paced rhythm. Activation time information is generated in the absence of any time alignment reference, wherein an estimated activation time is a weighted summation of potentially nonlinear and nonorthogonal candidate functions (CFs) selected from a bank of CFs. Time alignments between sequential recordings may be done by including binary level functions among selected CFs. Embodiments are applicable to single catheter mapping and sequential mapping, and are robust as confirmed by the ability to generate propagation maps and conduction velocity in the presence of multiple colliding wavefronts. The propagation and conduction velocity maps may be used for one or more of diagnosing cardiac arrhythmia, localizing cardiac arrhythmia, guiding catheter ablation therapy of cardiac arrhythmia, and guiding cardiac pacing therapy.
    Type: Grant
    Filed: September 25, 2020
    Date of Patent: February 27, 2024
    Assignees: Queen's University at Kingston, Kingston Health Sciences Centre
    Inventors: Mohammad Hassan Shariat, Damian P. Redfearn
  • Patent number: 11344246
    Abstract: A method for detecting long QT syndrome in a subject comprises obtaining data corresponding to an electrocardiogram (ECG) signal of the subject, identifying a set of features in the data based on selected inflection points of the ECG signal, using the set of features to categorize segments of the ECG signal, and using the categorized segments of the ECG signal and the inflection points to classify the ECG signal as normal or as long QT syndrome. Long QT syndrome is detected when the subject's ECG signal is classified as long QT syndrome. The method may include determining whether the long QT syndrome is Type 1 or Type 2.
    Type: Grant
    Filed: December 16, 2019
    Date of Patent: May 31, 2022
    Assignees: Queen's University at Kingston, Kingston Health Sciences Centre
    Inventors: Habib Hajimolahoseini, Damian P. Redfearn, Javad Hashemi
  • Patent number: 11284826
    Abstract: Study of intracardiac electrograms (IEGMs) during atrial fibrillation (AF) provides clinically significant information that can be used in ablation therapy. Methods include determining a regional feature, e.g., dominant frequency (RDF), which encompasses the relationship between simultaneously recorded electrodes and identifies the feature components of a region, rather than the feature of a single electrode. Methods employing the regional feature may be used to identify and characterize variation and disorganization in wavefront propagation or wave breaks (WBs) at each recording site, and may be used to direct catheter ablation therapy.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: March 29, 2022
    Assignees: Queen's University at Kingston, Kingston Health Sciences Centre
    Inventors: Mohammad Hassan Shariat, Damian P. Redfearn
  • Publication number: 20210093217
    Abstract: A method for generating a propagation and velocity maps for cardiac wavefront propagation including cardiac arryhthmia, sinus rhythm, and paced rhythm. Activation time information is generated in the absence of any time alignment reference, wherein an estimated activation time is a weighted summation of potentially nonlinear and nonorthogonal candidate functions (CFs) selected from a bank of CFs. Time alignments between sequential recordings may be done by including binary level functions among selected CFs. Embodiments are applicable to single catheter mapping and sequential mapping, and are robust as confirmed by the ability to generate propagation maps and conduction velocity in the presence of multiple colliding wavefronts. The propagation and conduction velocity maps may be used for one or more of diagnosing cardiac arryhthmia, localizing cardiac arryhthmia, guiding catheter ablation therapy of cardiac arryhthmia, and guiding cardiac pacing therapy.
    Type: Application
    Filed: September 25, 2020
    Publication date: April 1, 2021
    Inventors: Mohammad Hassan Shariat, Damian P. Redfearn
  • Publication number: 20200196898
    Abstract: A method for detecting long QT syndrome in a subject comprises obtaining data corresponding to an electrocardiogram (ECG) signal of the subject, identifying a set of features in the data based on selected inflection points of the ECG signal, using the set of features to categorize segments of the ECG signal, and using the categorized segments of the ECG signal and the inflection points to classify the ECG signal as normal or as long QT syndrome. Long QT syndrome is detected when the subject's ECG signal is classified as long QT syndrome. The method may include determining whether the long QT syndrome is Type 1 or Type 2.
    Type: Application
    Filed: December 16, 2019
    Publication date: June 25, 2020
    Inventors: Habib Hajimolahoseini, Damian P. Redfearn, Javad Hashemi
  • Publication number: 20190069792
    Abstract: Study of intracardiac electrograms (IEGMs) during atrial fibrillation (AF) provides clinically significant information that can be used in ablation therapy. Methods include determining a regional feature, e.g., dominant frequency (RDF), which encompasses the relationship between simultaneously recorded electrodes and identifies the feature components of a region, rather than the feature of a single electrode. Methods employing the regional feature may be used to identify and characterize variation and disorganization in wavefront propagation or wave breaks (WBs) at each recording site, and may be used to direct catheter ablation therapy.
    Type: Application
    Filed: September 6, 2018
    Publication date: March 7, 2019
    Inventors: Mohammad Hassan Shariat, Damian P. Redfearn