Application US20190167143 AI Biotech/Diagnostics: Cardio

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Application US20190167143

Published 2019-06-06

Electrocardiogram Processing System For Delineation And Classification

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.

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3 Independent Claims

1. A system for analyzing electrocardiogram (ECG) data of a patient, the system comprising: a first plurality of instructions configured to, when executed, obtain ECG data of the patient over a plurality of time points, the ECG data sampled at a rate of at least 20 samples per second, the first plurality of instructions further configured to, when executed, cause transmission of the ECG data to at least one server; a second plurality of instructions configured to, when executed, cause the at least one server to: receive the ECG data of the patient, analyze the ECG data of the patient using at least one algorithm trained from a plurality of ECG data sets from different patients; quantify a likelihood of a presence of one or more abnormalities, conditions, or descriptors, or any combination thereof, based on the analysis of the ECG data; and transmit information corresponding to the presence of the one or more abnormalities, conditions, or descriptors, or any combination thereof, to a computer from the at least one server for display; and a third plurality of instructions configured to, when executed by the computer, cause the computer to display information corresponding the presence of the one or more abnormalities, conditions, or descriptors, or any combination thereof, based on the transmitted information from the at least one server.
17. A system for analyzing electrocardiogram (ECG) data of a patient, the system comprising instructions stored on at least one server, the instructions configured to, when executed, cause the at least one server to: receive a set of ECG data of the patient over a plurality of time points, the set of ECG data sampled at a rate of at least 20 samples per second; analyze the set of ECG data of the patient using at least one algorithm trained using a plurality of sets of ECG data generated at a sampling rate of at least 20 samples per second from different patients; quantify, at each time point of the plurality of time points, a likelihood of a presence of one or more abnormalities, conditions, or descriptors, or any combination thereof, based on the analysis of the set of ECG data; and transmit information corresponding to the likelihood of the presence of the one or more abnormalities, conditions, or descriptors, or any combination thereof, to a computer for display.
18. A computerized-method for analyzing electrocardiogram (ECG) data of a patient, the method comprising: receiving a set of ECG data of the patient over a plurality of time points, the set of ECG data sampled at a sample rate; analyzing the set of ECG data of the patient using at least one algorithm trained using a plurality of sets of ECG data, each set in the plurality of sets of ECG data generated at the sample rate from different patients; identifying, at each time point, one or more abnormalities, conditions or descriptors, or any combination thereof, based on the analysis of the set of ECG data; and transmitting information comprising the one or more abnormalities, conditions, or descriptors, or any combination thereof, to a computer for display.