Automatic method to delineate or categorize an electrocardiogram

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.

What is claimed: 
     
         1 . A system for analyzing 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 a presence of a first wave type and a second wave type based on the at least a portion of an ECG signal and the delineation scores;   determine conduction information between the first wave type and the second wave type; and   generate information for display comprising a graphical representation of the at least a portion of the ECG signal and the conduction information between the first wave type and the second wave type.   
     
     
         2 . The system of  claim 1 , wherein the conduction information indicates conduction between the first wave type and the second wave type. 
     
     
         3 . The system of  claim 1 , wherein the conduction information indicates non-conduction between the first wave type and the second wave type. 
     
     
         4 . The system of  claim 1 , wherein the first wave type is a P wave and the second wave type is a QRS wave. 
     
     
         5 . The system of  claim 1 , wherein the at least one processor is further configured to execute instructions to generate information for display showing the first wave type as a first dot and the second wave type as a second dot. 
     
     
         6 . The system of  claim 5 , wherein the conduction information comprises a line between the first dot and the second dot indicating conduction between the first wave type and the second wave type. 
     
     
         7 . The system of  claim 1 , wherein the at least one processor is further configured to execute instructions to:
 determine characterization information for the first wave type or the second wave type or both; and   generate information for display comprising the characterization information.   
     
     
         8 . The system of  claim 7 , wherein the characterization information comprises a characterization of premature waves. 
     
     
         9 . The system of  claim 8 , wherein the characterization information comprises a square associated with the premature wave for display. 
     
     
         10 . The system of  claim 1 , wherein the at least one processor is further configured to execute instructions to:
 determine a presence of additional first and second wave types at additional time points and additional conduction information relating thereto; and   generate information for a conduction pattern display comprising the additional conduction information between the additional first and second wave types.   
     
     
         11 . The system of  claim 1 , wherein the visual indication of the conduction information is aligned with a location of the conduction information on the graphical representation of the at least a portion of the ECG signal. 
     
     
         12 . The system of  claim 1 , wherein the at least one processor is further configured to execute instructions to:
 determine a presence of one or more anomalies in the ECG signal; and   generate information for display indicating the presence of the one or more anomalies in the ECG signal.   
     
     
         13 . The system of  claim 1 , wherein the at least one processor is configured to execute instructions to determine the delineation scores by applying the at least a portion of the ECG signal to a first neural network. 
     
     
         14 . The system of  claim 13 , wherein the at least one processor is configured to execute instructions to determine anomaly information about the ECG signal via a second neural network. 
     
     
         15 . A computerized method for analyzing an electrocardiogram (ECG) signal corresponding to a patient, the computerized method comprising:
 receiving the ECG signal sampled from the 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 a presence of a first wave type and a second wave type based on the at least a portion of an ECG signal and the delineation scores;   determining conduction information between the first wave type and the second wave type; and   generating information for display comprising a graphical representation of the at least a portion of the ECG signal and the conduction information between the first wave type and the second wave type.   
     
     
         16 . The computerized method of  claim 15 , wherein the conduction information indicates conduction between the first wave type and the second wave type. 
     
     
         17 . The computerized method of  claim 15 , wherein the conduction information indicates non-conduction between the first wave type and the second wave type. 
     
     
         18 . The computerized method of  claim 15 , wherein the first wave type is a P wave and the second wave type is a QRS wave. 
     
     
         19 . The computerized method of  claim 15 , further comprising generating information for display showing the first wave type as a first dot and the second wave type as a second dot. 
     
     
         20 . The computerized method of  claim 19 , wherein the conduction information comprises a line between the first dot and the second dot indicating conduction between the first wave type and the second wave type. 
     
     
         21 . The computerized method of  claim 15 , further comprising:
 determining a presence of additional first and second wave types at additional time points and additional conduction information relating thereto; and   generating information for a conduction pattern display comprising the additional conduction information between the additional first and second wave types.   
     
     
         22 . The computerized method of  claim 15 , wherein the visual indication of the conduction information is aligned with a location of the conduction information on the graphical representation of the at least a portion of the ECG signal. 
     
     
         23 . The computerized method of  claim 15 , further comprising:
 determining a presence of one or more anomalies in the ECG signal; and   generating information for display indicating the presence of the one or more anomalies in the ECG signal.   
     
     
         24 . The computerized method of  claim 15 , wherein determining the delineation scores comprises applying the at least a portion of the ECG signal to a first neural network. 
     
     
         25 . The computerized method of  claim 24 , further comprising determining anomaly information about the ECG signal via a second neural network. 
     
     
         26 . A programmed routine for use with a computerized system for analyzing an electrocardiogram (ECG) signal obtained from a patient, the programmed routine comprising instructions that when executed:
 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 a presence of a first wave type and a second wave type based on the at least a portion of an ECG signal and the delineation scores;   determine conduction information between the first wave type and the second wave type; and   generate information for display comprising a graphical representation of the at least a portion of the ECG signal and the conduction information between the first wave type and the second wave type.