Methods for processing electrocardiac signals having superimposed complexes
Computer implemented methods and associated systems are disclosed for processing electrical signals recorded from the heart and, more particularly, for objectively deriving sub-components and comparing signals and their sub-components.
1. A method for tracking ectopic beats through template matching, comprising the steps of:
(a) capturing a single ECG signal in a signal processing unit;
(b) permitting a user to mark a begin point and an end point of the captured single ECG signal;
(c) defining a reference template as being a waveform segment between the marked begin and end points of the single ECG signal;
(d) acquiring data at the signal processing unit; and
(e) using a correlation coefficient calculation on the acquired data to identify a best fit between the reference template and the acquired data;
wherein an ectopic beat is tracked.
2. The method of claim 1 , wherein the acquired data is acquired across multiple leads at a given point in time and is provided either from a data storage device or from a real-time data stream.
3. The method of claim 2 , including the additional step of aligning on a display an image of the reference template with a beat within the acquired data across the multiple leads so as to display the extent of the identified best fit of the reference template with the acquired data from each of the multiple leads.
4. The method of claim 1 , wherein the reference template is a segment of a spontaneous beat and wherein the acquired data is a paced beat.
5. The method of claim 1 , wherein the reference template is a segment of a first spontaneous beat and wherein the acquired data is a second spontaneous beat which is different than the first spontaneous beat.
6. The method of claim 1 , wherein the acquired data is from a real-time data stream, the method including the additional step of repeating the correlation coefficient calculation on the acquired data at a prescribed interval.
7. The method of claim 1 wherein the single ECG signal is captured by a lead.
8. The method of claim 7 wherein the lead is an intracardiac lead.
9. A method for tracking ectopic beats through template matching, comprising the steps of:
(a) capturing a first ECG signal in a signal processing unit;
(b) permitting a user to mark a begin point and an end point of the captured first ECG signal;
(c) defining a reference template as being a waveform segment between the marked begin and end points of the first ECG signal;
(d) acquiring data at the signal processing unit; and
(e) using a correlation coefficient calculation on the acquired data to identify a best fit between the reference template and the acquired data; and
(f) outputting a quantitative indicator of the correlation coefficient calculation;
wherein an ectopic beat is tracked.
10. The method of claim 4 , wherein the data is acquired from multiple leads and wherein the quantitative indicator is a composite average of coefficients calculated from the multiple leads.
11. The method of claim 10 , wherein the quantitative indicator is displayed as a graph showing percentage of fit.
12. A method for deriving a p-wave signal from a premature atrial contraction (“PAC”) beat to assist a person in diagnosing a heart, comprising the steps of:
(a) selecting a QRS-T segment of a reference single ECG signal;
(b) permitting a user to mark a begin point and an end point of the selected segment of the reference single ECG signal;
(c) defining a reference template as being a waveform segment between the marked begin and end points of the selected segment of the reference single ECG signal;
(d) acquiring the PAC beat at the signal processing unit from multiple leads; and
(e) processing the PAC beat so as to derive the p-wave signal.
13. The method of claim 12 , wherein the processing step comprises subtracting the reference template from a predetermined segment of the PAC beat.
14. The method of claim 12 , wherein the reference ECG signal is a beat that immediately precedes the PAC beat.
15. The method of claim 12 , including the additional step of synchronizing the reference template and the PAC beat by aligning respective waveform segments thereof.
16. The method of claim 15 , wherein the alignment is by using a correlation coefficient calculation on the acquired data to identify a best fit between the respective waveform segments.
17. The method of claim 16 , including the additional step of permitting the person to shift the alignment thereby causing a change in the correlation coefficient calculation.
18. The method of claim 16 , including the additional step of permitting the person to shift the reference template to a waveform segment between corresponding begin and end points of a different beat thereby causing a change in the correlation coefficient calculation.
19. The method of claim 15 , wherein the respective waveform segments are the QRS complexes of the reference template and the PAC beat.
20. The method of claim 19 , wherein the alignment is by using a correlation coefficient calculation on the PAC beat to identify a best fit between the QRS complexes of the reference template and the PAC beat.
21. The method of claim 12 , including the additional steps of:
repeating the acquiring and processing steps so as to derive p-waves from at least two different PAC beats, and
comparing the derived p-waves to one another.
22. The method of claim 21 , wherein the comparing step comprises performing a cross correlation waveform analysis.
23. The method of claim 21 , including the additional step of selectively indicating on an output device a quality of a match as a function of the comparing step to thereby provide an indicator as to whether the derived p-waves have the same focal origin.
24. The method of claim 12 , including the additional steps of comparing the derived p-wave to a library of p-waves of known focal origin, and predicting the most likely site of the origin as a function of the comparison.
25. The method of claim 12 , wherein the derived p-wave is a derived, spontaneous p-wave, the method including the additional steps of maneuvering a pace mapping catheter within or adjacent the atria while pacing the heart while repeating the acquiring and processing steps so as to derive a paced p-wave, and comparing the derived, paced p-wave to the derived, spontaneous p-wave.
26. The method of claim 25 wherein the derived, spontaneous p-wave defines a template and the comparing step comprises using a correlation coefficient to identify a best fit between the derived, spontaneous p-wave template and the derived, paced p-wave.
27. The method of claim 12 , including the additional step of determining an integral value of the area of the derived p-wave signal.
28. The method of claim 27 , including the additional step of normalizing the integral value over a length of the derived p-wave signal.
29. The method of claim 28 , wherein the marked beginning and end points define a QRS segment of the reference ECG signal, the method including the additional step of measuring the QRS residue of the derived p-wave signal to provide an indicator of the alignment quality between the QRS segment of the PAC beat and a QRS segment of the reference template.
30. The method of claim 29 , wherein the processing step comprises subtracting the reference template from the QRS segment of the PAC beat, and wherein the QRS residue is an integral value computed after the processing step.
31. The method as in claim 12 , wherein the acquiring and processing steps are repeated, the method including the additional steps of:
calculating, for each iteration of the acquiring and processing steps, the integral value of the QRS segment of the reference template and the integral value of the PAC beat,
determining any change in absolute peak value percentage of the integral values between the reference template and the PAC beat,
whereby any baseline drift is identified.
32. The method of claim 12 wherein the single ECG signal is captured by a lead.
33. The method of claim 32 wherein the lead is an intracardiac lead.
34. A method for deriving a non-synchronous subcomponent from a first heartbeat signal having a composite waveform which includes a synchronous subcomponent overlapping the non-synchronous subcomponent in order to assist a person in diagnosing a heart, comprising the steps of:
(a) selecting a synchronous subcomponent of a second, single heartbeat signal which corresponds to the synchronous subcomponent of the first heartbeat signal;
(b) permitting a user to mark a begin point and an end point of the selected synchronous subcomponent of the second, single heartbeat signal;
(c) defining a reference template as being a waveform segment between the marked begin and end points of the selected synchronous subcomponent of the second, single heartbeat signal;
(d) acquiring the composite waveform of the first heartbeat signal at the signal processing unit from multiple leads; and
(e) processing the composite waveform beat so as to derive the non-synchronous subcomponent of the first heartbeat signal.
35. The method of claim 34 , wherein the processing step comprises subtracting the reference template from a predetermined segment of the composite waveform.
36. The method of claim 34 , wherein the selected synchronous subcomponent of the second, single heartbeat signal is from a beat that immediately precedes the composite waveform.
37. The method of claim 34 , including the additional step of synchronizing the reference template and the composite waveform by aligning respective synchronous waveform segments thereof.
38. The method of claim 37 , wherein the alignment is by using a correlation coefficient calculation on the acquired data to identify a best fit between the respective synchronous waveform segments.
39. The method of claim 38 , including the additional step of permitting the person to shift the alignment thereby causing a change in the correlation coefficient calculation.
40. The method of claim 38 , including the additional step of permitting the person to shift the reference template to a waveform segment between corresponding begin and end points of a different heartbeat thereby causing a change in the correlation coefficient calculation.
41. The method of claim 37 , wherein the respective waveform segments are the synchronous subcomponents of the reference template and the composite waveform.
42. The method of claim 41 , wherein the alignment is by using a correlation coefficient calculation on the composite waveform to identify a best fit between the synchronous subcomponents of the reference template and the composite waveform.
43. The method of claim 34 , including the additional steps of:
repeating the acquiring and processing steps so as to derive non-synchronous subcomponents from at least two different composite waveforms, and
comparing the derived non-synchronous subcomponents to one another.
44. The method of claim 43 , wherein the comparing step comprises performing a cross correlation waveform analysis.
45. The method of claim 43 , including the additional step of selectively indicating on an output device a quality of a match as a function of the comparing step to thereby provide an indicator as to whether the derived non-synchronous subcomponents have the same focal origin.
46. The method of claim 34 , including the additional step of determining an integral value of the area of the derived non-synchronous subcomponent.
47. The method of claim 46 , including the additional step of normalizing the integral value over a length of the derived non-synchronous subcomponent.
48. The method of claim 34 , including the additional steps of
comparing the derived non-synchronous subcomponent to a library of non-synchronous subcomponents of known focal origin, the derived non-synchronous subcomponent being a spontaneous non-synchronous subcomponent;
predicting the most likely site of the origin as a function of the comparison;
maneuvering a pace mapping catheter within or adjacent the heart while pacing the heart in real-time;
repeating the acquiring and processing steps so as to derive a paced non-synchronous subcomponent until such time that the derived, paced and spontaneous subcomponents correlate with one another within a prescribed criterion.
49. A method for deriving a non-synchronous subcomponent from a first heartbeat signal having a composite waveform which includes a synchronous subcomponent overlapping the non-synchronous subcomponent in order to assist a person in diagnosing a heart, comprising the steps of:
(a) selecting a synchronous subcomponent of a second heartbeat signal which corresponds to the synchronous subcomponent of the first heartbeat signal;
(b) permitting a user to mark a begin point and an end point of the selected synchronous subcomponent of the second, single heartbeat signal;
(c) defining a reference template as being a waveform segment between the marked begin and end points of the selected synchronous subcomponent of the second, single heartbeat signal;
(d) acquiring the composite waveform of the first heartbeat signal at the signal processing unit from multiple leads;
(e) processing the composite waveform beat so as to derive the non-synchronous subcomponent of the first heartbeat signal;
(f) comparing the derived non-synchronous subcomponent to a library of non-synchronous subcomponents of known focal origin; and
(g) predicting the most likely site of the origin as a function of the comparison.
50. A method for deriving a non-synchronous subcomponent from a first heartbeat signal having a composite waveform which includes a synchronous subcomponent overlapping the non-synchronous subcomponent in order to assist a person in diagnosing a heart, comprising the steps of:
(a) selecting a synchronous subcomponent of a second, single heartbeat signal which corresponds to the synchronous subcomponent of the first heartbeat signal;
(b) permitting a user to mark a begin point and an end point of the selected synchronous subcomponent of the second, single heartbeat signal;
(c) defining a reference template as being a waveform segment between the marked begin and end points of the selected synchronous subcomponent of the second, single heartbeat signal;
(d) acquiring the composite waveform of the first heartbeat signal at the signal processing unit from multiple leads; and
(e) processing the composite waveform beat so as to derive the non-synchronous subcomponent of the first heartbeat signal
wherein the derived non-synchronous subcomponent is a derived, spontaneous non-synchronous subcomponent, the method including the additional steps of maneuvering a pace mapping catheter within or adjacent the atria while pacing the heart, and repeating the acquiring and processing steps so as to derive a paced non-synchronous subcomponent until such time that the derived paced and spontaneous subcomponents correlate with one another within a prescribed criterion.