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US Patent 12016694 Electrocardiogram processing system for delineation and classification

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120166940
Patent Inventor Names
Jia Li0
Christophe Gardella0
Cyril Gaudefroy0
Mathieu Sornay0
Karen Prior0
Marie-Albane De Saint Victor0
Thomas Bordier0
Julien Fontanarava0
...
Date of Patent
June 25, 2024
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Patent Application Number
173907140
Date Filed
July 30, 2021
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Patent Citations
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US Patent 9408545 Method for efficiently encoding and compressing ECG data optimized for use in an ambulatory ECG monitor
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US Patent D838370 Electrocardiography monitor
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US Patent 10165946 Computer-implemented system and method for providing a personal mobile device-triggered medical intervention
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US Patent 10172534 Remote interfacing electrocardiography patch
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US Patent 10251575 Wearable electrocardiography and physiology monitoring ensemble
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US Patent 10251576 System and method for ECG data classification for use in facilitating diagnosis of cardiac rhythm disorders with the aid of a digital computer
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US Patent 10264992 Extended wear sewn electrode electrocardiography monitor
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US Patent 10265015 Monitor recorder optimized for electrocardiography and respiratory data acquisition and processing
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Patent Primary Examiner
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Erin M Piateski
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CPC Code
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A61B 2560/02
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A61B 5/7264
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A61B 5/0006
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G06N 3/02
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A61B 5/339
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A61B 5/366
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A61B 5/308
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Patent 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.

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