Method to detect noise in a wearable cardioverter defibrillator

1. A method to detect noise levels in electrocardiogram (ECG) signals for a patient, the method comprising:

connecting to at least three sensing electrodes that includes a first sensing electrode located at a first location on the patient, a second sensing electrode located on a second location of the patient and a third sensing electrode located on a third location of the patient, the at least three sensing electrodes configured to monitor electrical activity of a heart of the patient;

obtaining, during the monitoring by a cardiac monitoring device, a first signal from the first sensing electrode, wherein the first signal is based on a cardiac rhythm measured by the first sensing electrode at the first location during a first time period;

obtaining, during the monitoring by the cardiac monitoring device, a second signal from the second sensing electrode, wherein the second signal is based on the cardiac rhythm measured by the second sensing electrode at the second location during the first time period;

obtaining, during the monitoring by the cardiac monitoring device, a third signal from the third sensing electrode, wherein the third signal is based on the cardiac rhythm measured by the third sensing electrode at the third location during the first time period;

defining, during the monitoring by the cardiac monitoring device, at least three channels between the at least three sensing electrodes;

calculating, during the monitoring by the cardiac monitoring device, a morphological similarity value of at least one combination of the at least three channels by comparing the first signal with at least one of the second signal or the third signal; and

determining, during the monitoring by the cardiac monitoring device, a noise level based at least in part on the morphological similarity value calculated, wherein the noise level is used at least in part in determining whether the patient has experienced an event of arrhythmia.

2. The method of claim 1 , further comprising:

establishing correlating channels based at least in part on the at least three channels, wherein the correlating channels have a similar morphological similarity value when no noise is present in the ECG signals; and

calculating a morphological similarity value of each of the correlating channels.

3. The method of claim 2 , further comprising:

determining when the morphological similarity value of each of the correlating channels meets or exceeds a predetermined threshold.

4. The method of claim 2 , further comprising:

determining when the morphological similarity value of each of the correlating channels meets or exceeds a predetermined threshold.

5. The method of claim 3 , further comprising:

analyzing at least one of the first signal, the second signal or the third signal for a shockable heart rhythm when the morphological similarity value is above the predetermined threshold.

6. The method of claim 1 , wherein calculating the morphological similarity value includes calculating feature correlation coefficient (FCC) values.

7. The method of claim 6 , further comprising: suspending an ECG shockable analysis of the first signal, the second signal and the third signal when the FCC values are below a predetermined analysis threshold.

8. The method of claim 7 , further comprising:

obtaining an additional signal from each of the at least three sensing electrodes after the first time period has elapsed;

calculating a second morphological similarity value of at least one combination of the at least three channels based at least in part on the additional signal obtained from each of the at least three sensing electrodes.

9. The method of claim 8 , further comprising:

issuing a noise alert to a person when the second morphological similarity value does not meet or exceed a predetermined threshold.

10. The method of claim 1 , wherein the first time period is a fixed duration of between 3 and 15 seconds.

11. The method of claim 10 , wherein the fixed duration is 5 seconds.

12. A method to detect noise levels in electrocardiogram (ECG) signals for a person, the method comprising:

positioning at least four ECG sensing electrodes, the at least four ECG sensing electrodes configured to monitor electrical activity of a heart of the person at different locations on the person, wherein the at least four ECG sensing electrodes includes a first sensing electrode, a second sensing electrode and a third sensing electrode;

obtaining, during the monitoring by a cardiac monitoring device, a first signal from the first sensing electrode, wherein the first signal is based on a cardiac rhythm measured by the first sensing electrode during a first time period;

obtaining, during the monitoring by the cardiac monitoring device, a second signal from the second sensing electrode, wherein the second signal is based on the cardiac rhythm measured by the second sensing electrode during the first time period;

obtaining, during the monitoring by the cardiac monitoring device, a third signal from the third sensing electrode, wherein the third signal is based on the cardiac rhythm measured by the third sensing electrode during the first time period;

defining, during the monitoring by the cardiac monitoring device, at least three channels between the first sensing electrode, the second sensing electrode and the third sensing electrode;

calculating, during the monitoring by the cardiac monitoring device, a morphological similarity value of at least one combination of the at least three channels based at least in part on comparing the first signal with at least one of the second signal or the third signal; and

determining, during the monitoring by the cardiac monitoring device, a noise level based at least in part on the calculated morphological similarity value wherein the noise level is used at least in part in determining whether the patient has experienced an event of arrhythmia.

13. The method of claim 1 , wherein calculating the morphology similarity value comprises calculating an ECG signal morphology, the ECG signal morphology being a shape of QRS complex waveforms.

14. The method of claim 1 , further comprising:

establishing, at a wearable cardioverter defibrillator (WCD), correlating channels based at least in part on the at least three channels, wherein the correlating channels have a similar morphological similarity value when no noise is present in the first signal, the second signal and the third signal; and

calculating, at the WCD, a morphological similarity value of each of the correlating channels.

15. The method of claim 14 , further comprising:

determining, at the WCD, when the morphological similarity value of each of the correlating channels meets or exceeds a predetermined threshold.

16. The method of claim 15 , wherein the predetermined threshold is equal to or above 0.2 at the WCD.

17. The method of claim 15 , further comprising:

analyzing, at the WCD, at least one of the first signal, the second signal or the third signal when the morphological similarity value is above the predetermined threshold.

18. The method of claim 15 , wherein:

calculating the morphological similarity value includes calculating feature correlation coefficient (FCC) values, and

the method further comprises suspending, at the WCD, an ECG shockable analysis of the first signal, the second signal and the third signal when the FCC value is below a predetermined analysis threshold.

19. The method of claim 12 , further comprising:

establishing, at a wearable cardioverter defibrillator (WCD), correlating channels based at least in part on the at least four ECG sensing electrodes, wherein the correlating channels have a similar morphological similarity value when no noise is present in the ECG signals; and

calculating, at the WCD, a morphological similarity value of each of the correlating channels.

20. The method of claim 19 , further comprising:

determining, at the WCD, when the morphological similarity value of each of the correlating channels meets or exceeds a predetermined threshold.