Abstract: A method includes receiving, by a first computing system, electrocardiogram (ECG) data and metadata associated with the ECG data. The metadata includes an initial cardiac event classification and an initial beat classification for beats occurring during a first event associated with the initial cardiac event classification. The method further includes displaying the ECG data in a user interface, receiving a command to change the initial cardiac event classification to a subsequent cardiac event classification, and automatically modifying the initial beat classifications to subsequent beat classifications based on the subsequent cardiac event classification.

Abstract: A method includes receiving—by a first computing system—electrocardiogram (ECG) data and metadata associated with the ECG data, where the metadata includes an initial cardiac event classification and an initial beat classification for beats occurring during a first event associated with the initial cardiac event classification. The method further includes causing the ECG data to be displayed in a user interface (UI) and receiving a command, via the UI, to change the initial beat classifications to subsequent beat classifications. The method also includes automatically modifying, by the first computing system, the initial cardiac event classification to a subsequent cardiac event classification based on the subsequent beat classifications.

Abstract: Systems, methods, and devices utilize approaches for compressing electrocardiogram (ECG) data or other time-series data. Approaches involve processing strips of ECG data to generate compressed packages of the ECG data. The processing includes generating preconditioned ECG data and compressing the preconditioned ECG data. The compressed packages of ECG data can be transmitted to a remote computing system.

Abstract: A method includes receiving, by a first computing system, a first package of electrocardiogram (ECG) data and metadata associated with the ECG data. The method further includes generating, by the first computing system, a report simulation page including strips of the ECG data and a summary of patient data based on the ECG data and the metadata. The method further includes displaying the report simulation page in a user interface (UI) and displaying a report build page in the UI. The report build page includes the ECG data and the metadata. The method further includes modifying the metadata in the report build page and automatically updating the report simulation page in response to the modifying the metadata.

Abstract: A method includes receiving, by a first computing system, a first package of electrocardiogram (ECG) data and metadata associated with the ECG data. The method further includes generating, by the first computing system, a report simulation page including strips of the ECG data and a summary of patient data based on the ECG data and the metadata. The method further includes displaying the report simulation page in a user interface (UI) and displaying a report build page in the UI. The report build page includes the ECG data and the metadata. The method further includes modifying the metadata in the report build page and automatically updating the report simulation page in response to the modifying the metadata.

Abstract: A method includes associating beats with respective initial beat classifications using a trained machine learning model and based on electrocardiogram data. Using an encoder machine learning model, latent space representations of the electrocardiogram data are generated for beats associated with the initial beat classifications. Similar shaped beats are associated with each other based on the latent space representations.

Abstract: A method includes receiving, by a first computing system, electrocardiogram (ECG) data and metadata associated with the ECG data. The metadata includes an initial cardiac event classification and an initial beat classification for beats occurring during a first event associated with the initial cardiac event classification. The method further includes displaying the ECG data in a user interface, receiving a command to change the initial cardiac event classification to a subsequent cardiac event classification, and automatically modifying the initial beat classifications to subsequent beat classifications based on the subsequent cardiac event classification.

Abstract: A method includes receiving—by a first computing system—electrocardiogram (ECG) data and metadata associated with the ECG data, where the metadata includes an initial cardiac event classification and an initial beat classification for beats occurring during a first event associated with the initial cardiac event classification. The method further includes causing the ECG data to be displayed in a user interface (UI) and receiving a command, via the UI, to change the initial beat classifications to subsequent beat classifications. The method also includes automatically modifying, by the first computing system, the initial cardiac event classification to a subsequent cardiac event classification based on the subsequent beat classifications.

Abstract: A method includes receiving, by a first computing system, a first package of electrocardiogram (ECG) data and metadata associated with the ECG data. The method further includes generating, by the first computing system, a report simulation page including strips of the ECG data and a summary of patient data based on the ECG data and the metadata. The method further includes displaying the report simulation page in a user interface (UI) and displaying a report build page in the UI. The report build page includes the ECG data and the metadata. The method further includes modifying the metadata in the report build page and automatically updating the report simulation page in response to the modifying the metadata.

Abstract: A method includes assigning a first instance of a cardiac event that occurred in a patient during a period of time to a first bucket of a first plurality of buckets based on a first measured heart rate of the patient during the first instance. A first heart rate threshold of the first bucket is less than the first measured heart rate. The method also includes determining whether the first heart rate threshold exceeds heart rate thresholds of all buckets of the plurality of buckets to which an instance of the cardiac event that occurred in the patient during the period of time is assigned, determining whether a number of instances of the cardiac event that occurred in the patient during the period of time exceeds an event threshold, and preventing the first instance of the cardiac event from being communicated for clinical review.