Electrocardiogram processing system for delineation and classification

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.

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.