Patents by Inventor Mathieu SORNAY

Mathieu SORNAY 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 RESTRICTING RIGHTS TO AN ELECTROCARDIOGRAM PROCESSING SYSTEM
    Publication number: 20220218259
    Abstract: Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads/electrodes that may be integrated in a smart device. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks, to detect and/or predict various abnormalities, conditions and/or descriptors. The processed ECG data is used to generate a graphic user interface that is communicated from the server(s) to a computer for display in a user-friendly and interactive manner with enhanced accuracy. The systems may restrict access to certain ECG data, analyses, reports, and/or functionality to different entities, devices and/or users.
    Type: Application
    Filed: March 30, 2022
    Publication date: July 14, 2022
    Applicant: Cardiologs Technologies SAS
    Inventors: Johanna LAVERSIN, Baptiste Rios CAMPO, Chiara SCABELLONE, Anastasiya BODROVA, Benjamin BARRE, Gautier ZIMMERMAN, Wadii HAJJI, Benjamin GABERNIG, Delphine GERMAIN, Mathieu SORNAY, Romain POMIER, Marie-Auxille DENIS, Nathan SOUFFLET
  • ELECTROCARDIOGRAM PROCESSING SYSTEM FOR DELINEATION AND CLASSIFICATION
    Publication number: 20220104750
    Abstract: Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks for delineation of the cardiac signal and classification of various abnormalities, conditions and/or descriptors. The processed ECG data is communicated from the server(s) for display in a user-friendly and interactive manner with enhanced accuracy.
    Type: Application
    Filed: October 18, 2021
    Publication date: April 7, 2022
    Applicant: Cardiologs Technologies SAS
    Inventors: Jia LI, Romain POMIER, Chiara SCABELLONE, Cyril GAUDEFROY, Benjamin BARRE, Julien FONTANARAVA, Christophe GARDELLA, Mathieu SORNAY, Thomas BORDIER
  • ELECTROCARDIOGRAM PROCESSING SYSTEM FOR DELINEATION AND CLASSIFICATION
    Publication number: 20220031223
    Abstract: Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks for delineation of the cardiac signal and classification of various abnormalities, conditions and/or descriptors. The ECG platform may further process and analyze the ECG data using neural networks and/or algorithms for embedding and grouping. The processed ECG data is used to generate a graphic user interface that is communicated from the server(s) to a computer for display in a user-friendly and interactive manner with enhanced accuracy.
    Type: Application
    Filed: July 30, 2021
    Publication date: February 3, 2022
    Applicant: Cardiologs Technologies SAS
    Inventors: Jia LI, Romain POMIER, Chiara SCABELLONE, Cyril GAUDEFROY, Benjamin BARRE, Julien FONTANARAVA, Christophe GARDELLA, Mathieu SORNAY, Thomas BORDIER, Karen PRIOR, Marie-Albane DE SAINT VICTOR
  • ELECTROCARDIOGRAM PROCESSING SYSTEM FOR DELINEATION AND CLASSIFICATION
    Publication number: 20210204860
    Abstract: Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks for delineation of the cardiac signal and classification of various abnormalities, conditions and/or descriptors. The processed ECG data is communicated from the server(s) for display in a user-friendly and interactive manner with enhanced accuracy.
    Type: Application
    Filed: March 22, 2021
    Publication date: July 8, 2021
    Applicant: Cardiologs Technologies SAS
    Inventors: Jia LI, Romain POMIER, Chiara SCABELLONE, Cyril GAUDEFROY, Benjamin BARRE, Julien FONTANARAVA, Christophe GARDELLA, Mathieu SORNAY, Thomas BORDIER
  • ELECTROCARDIOGRAM PROCESSING SYSTEM FOR DELINEATION AND CLASSIFICATION
    Publication number: 20190167143
    Abstract: Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks for delineation of the cardiac signal and classification of various abnormalities, conditions and/or descriptors. The processed ECG data is communicated from the server(s) for display in a user-friendly and interactive manner with enhanced accuracy.
    Type: Application
    Filed: February 4, 2019
    Publication date: June 6, 2019
    Applicant: Cardiologs Technologies SAS
    Inventors: Jia LI, Romain POMIER, Chiara SCABELLONE, Cyril GAUDEFROY, Benjamin BARRE, Julien FONTANARAVA, Christophe GARDELLA, Mathieu SORNAY, Thomas BORDIER