Patents by Inventor Cyril GAUDEFROY

Cyril GAUDEFROY 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: 12016694
    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: Grant
    Filed: July 30, 2021
    Date of Patent: June 25, 2024
    Assignee: 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
  • Patent number: 11826150
    Abstract: The present invention relates to a computer-implemented method for electrocardiogram analysis, the method comprising the steps of receiving at least one ECG signal; analyzing the ECG signal to provide features and/or identify at least one episode and/or event, wherein an episode is a segment of the ECG signal defined by a starting time, a duration and a label obtained during the analysis of the ECG signal and an event is a strip of the ECG signal of predefined duration defined by a starting time and a label obtained during the analysis of the ECG signal; and displaying a multiple field display (1) which includes at least a main plot (42), being a global view of a graphic representation of the ECG signal in a first time window; a local view of a graphic representation of the ECG signal in a second time window (51), where the first time window comprises the second time window; an intermediate view of a graphic representation of the ECG signal in a third time window (52), wherein the third time window comprises
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: November 28, 2023
    Assignee: Koninklijke Philips N.V.
    Inventors: Chiara Scabellone, Cyril Gaudefroy, Jia Li, Benjamin Barre
  • Patent number: 11672464
    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: Grant
    Filed: October 18, 2021
    Date of Patent: June 13, 2023
    Assignee: CARDIOLOGS TECHNOLOGIES SAS
    Inventors: Jia Li, Romain Pomier, Chiara Scabellone, Cyril Gaudefroy, Benjamin Barre, Julien Fontanarava, Christophe Gardella, Mathieu Sornay, Thomas Bordier
  • 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
  • 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
  • Patent number: 11147500
    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: Grant
    Filed: March 22, 2021
    Date of Patent: October 19, 2021
    Assignee: Cardiologs Technologies SAS
    Inventors: Jia Li, Romain Pomier, Chiara Scabellone, Cyril Gaudefroy, Benjamin Barre, Julien Fontanarava, Christophe Gardella, Mathieu Sornay, Thomas Bordier
  • 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
  • Patent number: 10959660
    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: Grant
    Filed: February 4, 2019
    Date of Patent: March 30, 2021
    Assignee: Cardiologs Technologies SAS
    Inventors: Jia Li, Romain Pomier, Chiara Scabellone, Cyril Gaudefroy, Benjamin Barre, Julien Fontanarava, Christophe Gardella, Mathieu Sornay, Thomas Bordier
  • Publication number: 20200022604
    Abstract: The present invention relates to a computer-implemented method for electrocardiogram analysis, the method comprising the steps of receiving at least one ECG signal; analyzing the ECG signal to provide features and/or identify at least one episode and/or event, wherein an episode is a segment of the ECG signal defined by a starting time, a duration and a label obtained during the analysis of the ECG signal and an event is a strip of the ECG signal of predefined duration defined by a starting time and a label obtained during the analysis of the ECG signal; and displaying a multiple field display (1) which includes at least a main plot (42), being a global view of a graphic representation of the ECG signal in a first time window; a local view of a graphic representation of the ECG signal in a second time window (51), where the first time window comprises the second time window; an intermediate view of a graphic representation of the ECG signal in a third time window (52), wherein the third time window comprises
    Type: Application
    Filed: August 24, 2018
    Publication date: January 23, 2020
    Applicant: Cardiologs Technologies SAS
    Inventors: Chiara SCABELLONE, Cyril GAUDEFROY, Jia LI, Benjamin BARRE
  • 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