Identifying reliable vectors
In one embodiment, a method to determine reliable electrocardiogram (ECG) signal is described. The method includes receiving at least one ECG signal for a period of time from a patient. The method also includes analyzing the at least one ECG signal to determine a first heart rate using a first method and analyzing the at least one ECG signal to determine a second heart rate using a second method different from the first method. The method includes comparing the first and second heart rates to each other and classifying the at least one ECG signal as reliable when a reliability threshold is satisfied.
1. A method for monitoring a heart of a patient performed by a wearable cardioverter defibrillator (WCD) system that comprises a WCD, the method comprising:
receiving, from one or more electrocardiogram (ECG) sensors, at least one ECG signal for a period of time from the patient;
analyzing the at least one ECG signal to determine a first heart rate using a first method;
analyzing the at least one ECG signal to determine a second heart rate using a second method different from the first method;
comparing the first and second heart rates to each other;
determining a difference between the first and second heart rates;
determining from the difference whether a reliability threshold is satisfied;
classifying the at least one ECG signal as reliable responsive to determining that the reliability threshold is satisfied; and
providing defibrillation therapy to the patient based, at least in part, on the at least one ECG signal being classified as reliable.
2. The method of claim 1 , wherein providing defibrillation therapy further comprises performing a rhythm analysis using at least the first heart rate when the at least one ECG signal is classified as reliable.
3. The method of claim 2 , wherein the at least one ECG signal comprises at least two ECG signals, and further comprising:
performing the rhythm analysis using a combination of heart rates of the at least two ECG signals.
4. The method of claim 3 , wherein the at least two ECG signals are classified as reliable based on the combination, wherein the combination comprises a weighted average of the at least two ECG signals.
5. The method of claim 1 , wherein the first method is a time domain method and the second method is a frequency domain method.
6. The method of claim 1 , wherein determining from the difference whether the reliability threshold is satisfied comprises determining whether the first and second heart rates are within a predetermined number of beats per minute.
7. The method of claim 6 , wherein the predetermined number of beats per minute being five to fifteen beats per minute.
8. The method of claim 1 , wherein determining from the difference whether the reliability threshold is satisfied comprises determining whether the first and second heart rates are within a predetermined percentage difference.
9. The method of claim 8 , wherein the predetermined percentage difference is less than twenty percent.
10. The method of claim 9 , wherein the predetermined percentage difference is ten percent.
11. The method of claim 1 , further comprising:
determining from the difference whether an unreliability threshold is satisfied; and
classifying the at least one ECG signal as unreliable responsive to determining that the unreliability threshold is satisfied.
12. The method of claim 11 , wherein the unreliability threshold is equal to or greater than ten percent.
13. The method of claim 1 , wherein the first method includes one of an adaptive signal processing, Kalman filtering, independent component analysis, or principal component analysis.
14. The method of claim 1 , wherein receiving at least one ECG signal comprises receiving three or more channels.
15. The method of claim 1 , wherein the at least one ECG signal includes two channels and the at least one ECG signal being classified as reliable when the two channels are classified as reliable.
16. The method of claim 1 , further comprising:
receiving physiological data from the patient for the period of time; and
analyzing the physiological data to determine if a shockable condition is indicated.
17. The method of claim 16 , wherein the physiological data includes blood volume data.
18. The method of claim 17 further comprising:
determining whether a shockable condition is present based, at least in part, on the blood volume data.
19. A method for monitoring a heart of a patient performed by a wearable cardioverter defibrillator (WCD) system that comprises a WCD, the method comprising:
receiving, from one or more electrocardiogram (ECG) sensor, at least one ECG signal for a period of time from the patient;
analyzing the at least one ECG signal to determine a first heart rate using a first method;
analyzing the at least one ECG signal to determine a second heart rate using a second method different from the first method, the first method being a time domain method and the second method being a frequency domain method;
comparing the first and second heart rates to each other;
determining a difference between the first and second heart rates;
determining from the difference whether a reliability threshold is satisfied;
classifying the at least one ECG signal as reliable responsive to determining that the reliability threshold is satisfied;
performing a rhythm analysis using at least the first heart rate when the at least one ECG signal is classified as reliable; and
providing defibrillation therapy to the patient based, at least in part, on the at least one ECG signal being classified as reliable.
20. The method of claim 19 further comprising:
determining from the difference whether an unreliability threshold is satisfied; and
classifying the at least one ECG signal as unreliable responsive to determining that the unreliability threshold is satisfied.