Method and system for detection of biological rhythm disorders

1. A system to process cardiac activation information associated with a complex heart rhythm disorder, the system comprises a computing device:

obtaining cardiac information signals from sensors associated with a patient;

accessing the cardiac information signals from the sensors associated with a plurality of locations of a patient's heart, the signals including at least a first signal and a second signal, each signal comprising a plurality of beats;

determining whether one or more beats within the plurality of beats in the first signal are non-discernible according to predetermined criteria;

determining activations in the cardiac information signals, wherein at least one activation associated with a non-discernible beat in the first signal at a first location is determined at least with reference to an activation associated with a discernible beat in the second signal at a second location, the first location and second location being proximate neighbors; and

identifying a location of the complex heart rhythm disorder based upon the determined activations wherein said location is a physical location within the heart.

2. The system of claim 1 , wherein identifying the location comprises processing the activations by phase analysis, Hilbert transform, time domain analysis, or dominant frequency analysis.

3. The system of claim 1 , wherein identifying the location comprises ordering the activations to generate an activation trail and further comprising constructing a clinical representation of the activation trail.

4. The system of claim 3 , wherein the activation trail comprises a rotational pattern or a radially emanating pattern.

5. The system of claim 4 , further comprising identifying an approximate core of the source of the complex heart rhythm disorder based on the activation trail.

6. The system of claim 5 , wherein the approximate core is a rotor or focal source that radially emanates outwardly from the approximate core.

7. A system to identify a source of a heart rhythm disorder, the system comprising a computing device:

obtaining cardiac information signals associated with sensors from a patient;

accessing the cardiac information signals obtained from the sensors associated with a plurality of locations of a patient's heart, the signals including at least a first signal and a second signal, each signal comprising a plurality of beats;

determining whether one or more beats within the plurality of beats in the first signal are non-discernible according to predetermined criteria;

determining activations in the cardiac information signals, wherein at least one activation associated with a non-discernible beat in the first signal at a first location is determined at least with reference to an activation associated with discernible beats in the second signals at second locations, the first location and second locations being proximate neighbors; and

identifying a location of the complex heart rhythm disorder based upon the determined activations wherein said location is a physical location within the heart.

8. The system of claim 7 , wherein identifying the location comprises processing the determined activations by phase analysis, Hilbert transform, time domain analysis, or dominant frequency analysis.

9. The system of claim 7 , wherein identifying the location comprises ordering the activations to generate an activation trail and further comprising constructing a clinical representation of the activation trail.

10. The system of claim 9 , wherein the activation trail comprises a rotational pattern or a radially emanating pattern.

11. The system of claim 10 , further comprising identifying an approximate core of the source of the complex heart rhythm disorder based on the activation trail.

12. The system of claim 11 , wherein the approximate core is a rotor or focal source that radially emanates outwardly from the approximate core.

13. The system of claim 7 , further comprising the computing device analyzing the activations as determined in the first signal with reference to the second signal in order to determine a set of activations attributable to discernible beats of the proximate neighbors.

14. The system of claim 13 , further comprising the computing device using the set of activations to determine discernible beats in the first signal.

15. The system of claim 7 , further comprising the computing device determining activations in the signals using at least one activation in a signal of a first location that is calculated with reference to signals of at least two locations that are neighbors to the first location.

16. The system of claim 7 , further comprising the computing device selecting a reconciled activation based on the activation located closest to at least one of the calculated activations or the average of the activations.

17. The system of claim 7 , further comprising the computing device classifying the cardiac information signals into high and low confidence signals, wherein the high and low confidence signals are separated by a confidence threshold.

18. The system of claim 17 , wherein the confidence threshold is associated with a predetermined percentage of discernible beats out of total beats associated with each of the high and low confidence signals.

19. The system of claim 17 , further comprising the computing device determining an activation associated with at least one low confidence signal within an acceptance time window, the acceptance time window associated with the low confidence signal indicating an earliest activation and a latest termination for a beat in the low confidence signal.

20. The system of claim 19 , wherein determining further comprises determining activations associated with the low confidence signals within associated acceptance time windows, each of the acceptance time windows associated with a low confidence signal indicating an earliest activation and a latest termination for a beat in the low confidence signal.

21. The system of claim 20 , further comprising ordering the activations associated with the high and low confidence signals.

22. The system of claim 19 , wherein the acceptance time window is determined using at least one of action potential duration (APD), conduction velocity (CV), fiber angle, time vector connecting at least two discernible activation onsets of the high confidence signals associated with spatially adjacent sensors, and anatomic factors.

23. The system of claim 17 , further comprising the computing device identifying a plurality of discernible beats on high confidence signals of sensors that are spatially adjacent to a sensor associated with a low confidence signal, the discernible beats on the high-confidence signals corresponding to a non-discernible beat on the low-confidence signal.

24. The system of claim 23 , further comprising the computing device computing a time vector between at least two activations associated with the identified discernible beats on the high-confidence signals through the non-discernible beat on the low-confidence signal.

25. The system of claim 24 , further comprising the computing device defining a time interval associated with the non-discernible beat about a region of the low-confidence signal where the computed time vector crosses the non-discernible beat, the time interval indicating how early the non-discernible beat is able to activate based on a previous beat on the low-confidence signal that has a selected or determined activation and how late the non-discernible beat is able to terminate based on at least one predetermined property.

26. The system of claim 25 , further comprising selecting a possible activation during the defined time interval that is closest to the computed time vector for the non-discernible beat.

27. The system of claim 17 , wherein classifying further comprises using at least one of activation onset, cycle length (CL), action potential duration (APD), and amplitude to classify the cardiac information signals into the high and low confidence signals, wherein the activation onsets are determined by using at least one of maximum dV/dt, template matching, frequency and amplitude.