Apparatus and method for measuring physiological signal quality

1. An apparatus for determining a signal quality of an input signal representing a repetitious phenomena derived from at least one sensor connected to a patient comprising: a detector that receives the input signal and determines data representing the repetitious phenomena from the input signal for use in determining at least one patient parameter; a measurement processor electrically coupled to the detector that determines a first signal quality value by identifying at least one feature of the repetitious phenomena data and compares the at least one feature of a first set of the determined repetitious phenomena data with the at least one feature of a second set of the determined repetitious phenomena data to determine a feature variability value and using the feature variability value to determine a stability value representative of the quality of the input signal, wherein said measurement processor measures a second signal quality value associated with the input signal, the second signal quality value being measured prior to the input signal being processed by the detector, the second signal quality value is determined by evaluating a randomness of a finite sequence of data samples included in the input signal to determine a complexity value associated with the input signal and comparing the complexity value with a threshold to determine an amount of noise in the input signal, and said measurement processor evaluates the randomness of the input signal by converting the input signal into a binary signal, sequentially scanning the binary signal, incrementing a complexity counter by one upon detecting a change in a subsequence of consecutive characters in the binary signal and comparing a value of complexity counter with a threshold to determine the complexity value associated with the input signal.

2. The apparatus as recited in claim 1 , wherein said measurement processor automatically compares the determined stability value with a threshold value to determine the quality of the input signal.

3. The apparatus as recited in claim 2 , wherein said measurement processor assigns a weight associated with the input signal in response to the comparison between the stability value and the threshold value.

4. The apparatus as recited in claim 3 , wherein said detector determines whether an input signal should be used in determining the at least one patient parameter using the assigned weight associated with the input signal.

5. The apparatus as recited in claim 1 , wherein said detector simultaneously detects repetitious phenomena data on a plurality of input signals being received from a respective sensor and said measurement processor simultaneously determines the quality of said plurality of input signals.

6. The apparatus are recited in claim 5 , wherein said detector generates patient parameter data from the input signals using the determined signal quality associated with each input signal by multiplying an amplitude average of the input signal by the stability value and a weight associated with the stability value for each input signal to obtain a weighted signal quality value for each signal, summing the weighted signal quality value for each input signal and dividing the sum of the weighted signal quality values for each input signal by a sum of the amplitude average of each input signal.

7. The apparatus as recited in claim 1 , wherein the repetitious phenomena data is ECG data and the detector detects QRS complexes from the ECG data.

8. The apparatus as recited in claim 7 , wherein the at least one feature of the repetitious phenomena data includes at least one of (a) a height of a QRS complex; (b) a width of a QRS complex; (c) a triangle area of a QRS complex; (d) a triangle area of an ST-segment; (e) a peak direction of a QRS complex; and (f) an RR interval between successive QRS complexes.

9. The apparatus as recited in claim 1 , wherein said measurement processor assigns a weight associated with the input signal in response to determining the complexity value associated with the input signal and determines whether an input signal should be used in determining the at least one patient parameter based on the weight associated with the input signal.

10. The apparatus as recited in claim 9 , wherein said detector determines the at least one patient parameter by selecting which input signals are to be used based on the stability value and complexity value.

11. The apparatus as recited in claim 9 , wherein said detector generates patient parameter data from the input signals using the determined signal quality associated with each input signal by multiplying an amplitude average of each input signal by the stability value and a weight associated with the stability value for each input signal and the complexity value and a weight associated with the complexity value to obtain a weighed signal quality value for each signal, summing the weighted signal quality value for each input signal and dividing the sum of the weighted signal quality values for each input signal by a sum of the amplitude average of each input signal.

12. A method of determining a signal quality of an input signal representing a repetitious phenomena derived from at least one sensor connected to a patient comprising: receiving, by a detector, the input signal; determining, by the detector, data representing the repetitious phenomena from the input signal for use in determining at least one patient parameter; determining, by a measurement processor electrically coupled to the detector, a first signal quality value by identifying at least one feature of the repetitious phenomena data; comparing the at least one feature of a first set of the determined repetitious phenomena data with a second set of the determined repetitious phenomena data to determine a feature variability value; using the feature variability value to determine a stability value representative of the quality of the input signal, and further comprising the activity of measuring a second signal quality value associated with the input signal prior to the input signal being processed by the detector, wherein the activity of measuring further comprises evaluating a randomness of a finite sequence of data samples included in the input signal to determine a complexity value associated with the input signal and comparing the complexity value with a threshold to determine an amount of noise in the input signal the activity of evaluating includes converting the input signal into a binary signal; sequentially scanning the binary signal; incrementing a complexity counter by one upon detecting a change in a subsequence of consecutive characters in the binary signal; and comparing a value of complexity counter with a threshold to determine the complexity value associated with the input signal.

13. The method as recited in claim 12 , further comprising the activity of automatically comparing the determined stability value with a threshold value to determine the quality of the input signal.

14. The method as recited in claim 13 , further comprising the activity of assigning a weight associated with the input signal in response to the comparison between the stability value and the threshold value.

15. The method as recited in claim 14 , further comprising the activity of determining whether an input signal should be used in determining the at least one patient parameter using the assigned weight associated with the input signal.

16. The method as recited in claim 12 , further comprising the activity of simultaneously detecting repetitious phenomena data on a plurality of input signals being received from a respective sensor and measuring the quality of said plurality of input signals.

17. The method as recited in claim 16 , further comprising the activity of generating, by the detector, patient parameter data from the input signals using the determined signal quality associated with each input signal by multiplying an amplitude average of the input signal by the stability value and a weight associated with the stability value for each input signal to obtain a weighed signal quality value for each signal, summing the weighted signal quality value for each input signal and dividing the sum of the weighted signal quality values for each input signal by a sum of the amplitude average of each input signal.

18. The method as recited in claim 12 , wherein the repetitious phenomena data is ECG data and the activity of detecting detects QRS complexes from the ECG data.

19. The method as recited in claim 18 , further comprising the activity of the at least one feature of the repetitious phenomena data includes at least one of (a) a height of a QRS complex; (b) a width of a QRS complex; (c) a triangle area of a QRS complex; (d) a triangle area of an ST-segment; (e) a peak direction of a QRS complex; and (f) an RR interval between successive QRS complexes.

20. The method as recited in claim 12 , further comprising the activity of assigning a weight associated with the input signal in response to determining the complexity value associated with the input signal; and determining whether an input signal should be used in determining the at least one patient parameter based on the weight associated with the input signal.

21. The method as recited in claim 20 , further comprising the activity of determining, by the detector, the at least one patient parameter by selecting which input signals are to be used based on the stability value and complexity value.

22. The method as recited in claim 21 , further comprising the activity of generating patient parameter data from the input signals using the determined signal quality associated with each input signal by multiplying an amplitude average of each input signal by the stability value and a weight associated with the stability value for each input signal and the complexity value and a weight associated with the complexity value to obtain a weighed signal quality value for each signal, summing the weighted signal quality value for each input signal and dividing the sum of the weighted signal quality values for each input signal by a sum of the amplitude average of each input signal.