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).
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Patent number: 12016694Abstract: 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: GrantFiled: July 30, 2021Date of Patent: June 25, 2024Assignee: CARDIOLOGS TECHNOLOGIES SASInventors: 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
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Patent number: 11826150Abstract: 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 comprisesType: GrantFiled: August 24, 2018Date of Patent: November 28, 2023Assignee: Koninklijke Philips N.V.Inventors: Chiara Scabellone, Cyril Gaudefroy, Jia Li, Benjamin Barre
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Patent number: 11672464Abstract: 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: GrantFiled: October 18, 2021Date of Patent: June 13, 2023Assignee: CARDIOLOGS TECHNOLOGIES SASInventors: Jia Li, Romain Pomier, Chiara Scabellone, Cyril Gaudefroy, Benjamin Barre, Julien Fontanarava, Christophe Gardella, Mathieu Sornay, Thomas Bordier
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Publication number: 20220104750Abstract: 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: ApplicationFiled: October 18, 2021Publication date: April 7, 2022Applicant: Cardiologs Technologies SASInventors: Jia LI, Romain POMIER, Chiara SCABELLONE, Cyril GAUDEFROY, Benjamin BARRE, Julien FONTANARAVA, Christophe GARDELLA, Mathieu SORNAY, Thomas BORDIER
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Publication number: 20220031223Abstract: 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: ApplicationFiled: July 30, 2021Publication date: February 3, 2022Applicant: Cardiologs Technologies SASInventors: 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
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Patent number: 11147500Abstract: 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: GrantFiled: March 22, 2021Date of Patent: October 19, 2021Assignee: Cardiologs Technologies SASInventors: Jia Li, Romain Pomier, Chiara Scabellone, Cyril Gaudefroy, Benjamin Barre, Julien Fontanarava, Christophe Gardella, Mathieu Sornay, Thomas Bordier
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Publication number: 20210204860Abstract: 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: ApplicationFiled: March 22, 2021Publication date: July 8, 2021Applicant: Cardiologs Technologies SASInventors: Jia LI, Romain POMIER, Chiara SCABELLONE, Cyril GAUDEFROY, Benjamin BARRE, Julien FONTANARAVA, Christophe GARDELLA, Mathieu SORNAY, Thomas BORDIER
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Patent number: 10959660Abstract: 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: GrantFiled: February 4, 2019Date of Patent: March 30, 2021Assignee: Cardiologs Technologies SASInventors: Jia Li, Romain Pomier, Chiara Scabellone, Cyril Gaudefroy, Benjamin Barre, Julien Fontanarava, Christophe Gardella, Mathieu Sornay, Thomas Bordier
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Publication number: 20200022604Abstract: 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 comprisesType: ApplicationFiled: August 24, 2018Publication date: January 23, 2020Applicant: Cardiologs Technologies SASInventors: Chiara SCABELLONE, Cyril GAUDEFROY, Jia LI, Benjamin BARRE
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Publication number: 20190167143Abstract: 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: ApplicationFiled: February 4, 2019Publication date: June 6, 2019Applicant: Cardiologs Technologies SASInventors: Jia LI, Romain POMIER, Chiara SCABELLONE, Cyril GAUDEFROY, Benjamin BARRE, Julien FONTANARAVA, Christophe GARDELLA, Mathieu SORNAY, Thomas BORDIER