Automatic method to delineate or categorize an electrocardiogram
AssigneeCardiologs Technologies SAS
InventorsJérémy RAPIN, Jia LI, Mathurin MASSIAS
Life of this patent
Estimating the term…
Abstract
Disclosed is a method for computerizing delineation and/or multi-label classification of an ECG signal, including: applying a neural network to the ECG, labelling the ECG, and optionally displaying the labels according to time with the ECG signal.
Claims30
A system for detecting anomalies in an electrocardiogram (ECG) signal corresponding to a patient, the system comprising at least one server and at least one processor configured to execute instructions to:
- receive the ECG signal sampled from the patient over a plurality of time points;
- determine delineation scores at each time point of the plurality of time points of at least a portion of the ECG signal, the delineation scores corresponding to multiple wave types at each time point;
- determine anomaly scores based on the at least a portion of an ECG signal and the delineation scores, the anomaly scores corresponding to multiple anomaly types;
- determine that an anomaly corresponding to one of the multiple anomaly types is present in the ECG signal based on at least one of the anomaly scores corresponding to a first time point of the plurality of time points;
- and
- generate information for display comprising a graphical representation of the at least a portion of the ECG signal and a visual indication of the anomaly corresponding to the graphical representation of the at least a portion of the ECG signal at the first time point of the plurality of time points.
A computerized method for detecting anomalies in an electrocardiogram (ECG) signal corresponding to a patient, the computerized method comprising:
- receiving an ECG signal sampled from a patient over a plurality of time points;
- determining delineation scores at each time point of the plurality of time points of at least a portion of the ECG signal, the delineation scores corresponding to multiple wave types at each time point;
- determining anomaly scores based on the at least a portion of an ECG signal and the delineation scores, the anomaly scores corresponding to multiple anomaly types;
- determining that an anomaly corresponding to one of the multiple anomaly types is present in the ECG signal based on at least one of the anomaly scores corresponding to a first time point of the plurality of time points;
- and
- generating information for display comprising a graphical representation of the at least a portion of the ECG signal and a visual indication of the anomaly corresponding to the graphical representation of the at least a portion of the ECG signal at the first time point of the plurality of time points.
A programmed routine for use with a computerized system for detecting abnormalities in an electrocardiogram (ECG) signal obtained from a patient, the programmed routine comprising instructions that when executed:
- receive an ECG signal sampled from a patient over a plurality of time points;
- determine delineation scores at each time point of the plurality of time points of at least a portion of the ECG signal, the delineation scores corresponding to multiple wave types at each time point;
- determine anomaly scores based on the at least a portion of an ECG signal and the delineation scores, the anomaly scores corresponding to multiple anomaly types;
- determine that an anomaly corresponding to one of the multiple anomaly types is present in the ECG signal based on at least one of the anomaly scores corresponding to a first time point of the plurality of time points;
- and
- generate information for display comprising a graphical representation of the at least a portion of the ECG signal and a visual indication of the anomaly corresponding to the graphical representation of the at least a portion of the ECG signal at the first time point of the plurality of time points.
Dependencies are inferred from the claim text.