Method and apparatus for the measurement and analysis of cardiac rates and amplitude variations

• US 5,277,189 A
• Filed: 08/16/1991
• Issued: 01/11/1994
• Est. Priority Date: 08/16/1991
• Status: Expired due to Term

• Current Assignee: NID Incorporated
• Original Assignee: NID Incorporated
• Inventors: Jacobs, Laurence A.
• Primary Examiner(s): Kamm, William E.
• Assistant Examiner(s): Manuel, George
• Application Number:
  US07/746,329
• Time in Patent Office: 879 Days
• Field of Search: 128/696, 128/700, 128/702, 128/703, 128/704, 128/705, 128/706, 128/708
• US Class Current: 600/508
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals

Abstract

A method and apparatus are provided for measuring selected patient heartbeat parameters such as heartrates and amplitude variations, for processing the measured parameters to place them in more usable form and for analyzing measured and processed heartbeat parameters to obtain certain useful information concerning the condition of the patient'"'"'s cardiac function. Measurement preferably involves detection and storage of at least two of the P, R and T pulses for each heartbeat and the conversion of such information into time series for selective heartrates. Indicators δ_j are computed for selected ones of the time series for selected values of j and the computed δ_j '"'"'s are then compared against stored δ_j values to obtain a measure of the state of cardiac function. The time series are preferably notched, detrended and normalized prior to being analyzed.

Claims

1. A method for measuring selected instantaneous patient heart pulse parameters comprising the steps of:

taking heartbeat readings on the patient;

detecting at least two of the P, R and T pulses for each heartbeat;

determining the times at which each detected pulse occurs; and

storing as a time series the times of each of the detected pulses for successive heartbeats.

2. A method as claimed in claim 1 wherein said readings are taken on a plurality of channels and wherein the storing step includes the steps of normally storing the pulse times for detected pulses from a selected one of said channels.

3. A method as claimed in claim 2 wherein the time series storing step includes the steps of comparing times for corresponding detected pulses from different channels;

and

taking predetermined action if the time for a detected pulse from the selected channel is not consistent with the times detected from the other channels for the corresponding pulse.

4. A method as claimed in claim 1 wherein amplitude is also stored for each pulse for which time is stored.

5. A method as claimed in claim 1 wherein times are stored for the P, R and T pulses of each heartbeat.

6. A method as claimed in claim 5 including the step of converting the stored pulse times into heartrates for at least one of P-P, R-R, T-T, P-R, R-T, T-P, T-R, R-P and P-T heartrates.

7. A method as claimed in claim 5 including the step of converting the stored pulse times into heartrates for at least one of P-P, T-T, P-R, R-T, T-P, T-R, R-P and P-T heartrates.

8. A method as claimed in claim 1 wherein said detecting step includes the step of utilizing matched filters in the detection process.

9. A method as claimed in claim 8 including the step of deriving the matched filters from the readings.

10. A method as claimed in claim 1 wherein said detecting step includes the steps of detecting the R pulse for the heartbeat, scanning back for the P pulse for the heartbeat, and scanning ahead for the T pulse for the heartbeat.

11. A method for analyzing a measured heartbeat parameter comprising the steps of:

converting the measured heartbeat parameter into a time series;

deriving selected Indicator values for the time series; and

corresponding stored Indicator values.

12. A method as claimed in claim 11 wherein the Indicator values are δ

_j values where j may have values from 1 to n, with n being at least 5.

13. A method as claimed in claim 11 wherein the measured heartbeat parameter is heartrate, the measured heartrate being converted into a time series of a selected heartrate.

14. A method as claimed in claim 11 wherein the measure heartbeat parameter is peak voltage for each heartbeat, the measured peak voltages being converted into a peak voltage time-series.

15. A method as claimed in claim 11 wherein the stored Indicator values are standard values contained in a database.

16. A method as claimed in claim 11 wherein the measured heartbeat parameters are from a given subject;

and

wherein the stored Indicator values are from previous measurements on the same subject.

17. A method as claimed in claim 11 wherein said deriving step includes the step of deriving a set of Differential Indicators δ

_j from the time series, and said comparing step includes the step of comparing the derived set of Differential Indicators against corresponding stored Differential Indicator values.

18. A method as claimed in claim 11 wherein said determining step includes the step of determining the cardiac function state of the heart from which the heartrate was measured from the derived Indicator values.

19. A method as claimed in claim 11 wherein the derived Indicator values quantify the complexity of the heartbeat parameters, such complexity being indicative of cardiac function.

20. A method as claimed in claim 11 including the step;

performed before said deriving step, of notching the time series to eliminate unwanted detected peaks.

21. A method as claimed in claim 20 wherein said notching step includes the steps of determining the mean for the time series, determining the deviation from the mean for each entry of the time series;

determining if the standard deviation from the mean for each entry exceeds a predetermined threshold, eliminating the value for each entry having a deviation from the mean exceeding the threshold, and substituting a selected average value for the eliminated value.

22. A method as claimed in claim 21 wherein the substituted selected average value is the mean of the preceding and succeeding entry values in the time series.

23. A method as claimed in claim 21 wherein the steps of said notching step are repeated recursively until predetermined conditions are satisfied.

24. A method as claimed in claim 11 including the step, performed before said deriving step, of detrending the time series to remove low-frequency variations in the time series.

25. A method as claimed in claim 24 wherein said detrending step includes the steps of low-pass filtering the time series to isolate frequencies below a predetermined minimum threshold, and subtracting the results of the filtering step from the time series.

26. A method as claimed in claim 24 including the step of normalizing the detrended time series.

27. Apparatus for measuring selected instantaneous patient heart pulse parameters comprising:

means for taking heartbeat readings on the patient;

means for detecting at least two of the P, R and T pulses for each heartbeat;

means for determining the time at which each detected pulse occurs; and

means for storing as a time series the times of each of the detected pulses for successive heartbeats.

28. Apparatus as claimed in claim 27 including means for storing amplitude for each pulse for which time is stored.

29. Apparatus as claimed in claim 27 wherein the means for storing stores the P, R and T pulses of each heartbeat.

30. Apparatus as claimed in claim 29 including means for converting the stored pulse times into heartrates for at least one of P-P, R-R, T-T, P-R, R-T, T-P, T-R, R-P and P-T heartrates.

31. Apparatus as claimed in claim 29 including means for converting the stored pulse times into heartrates for at least one of P-P, T-T, P-R, R-T, T-P, T-R, R-P and P-T heartrates.

32. Apparatus as claimed in claim 27 wherein said means for detecting includes means for deriving matched filters from the readings, and means for utilizing the matched filters in the detection process.

33. Apparatus as claimed in claim 27 wherein said means for detecting includes means for detecting the R pulse for the heartbeat, means for scanning back for the P pulse for the heartbeat, and means for scanning ahead for the T pulse for the heartbeat.

34. Apparatus for analyzing a measured heartbeat parameter comprising:

means for converting the measured heartbeat parameter into a time series;

means for deriving Indicator values δ

_j for the time series; and

means for comparing the derived Indicator values against a corresponding stored Indicator value.

35. Apparatus as claimed in claim 34 wherein the measured heartbeat parameter is heartrate, the measured heartrate being converted into a time series of a selected heartrate.

36. Apparatus as claimed in claim 34 wherein the measured heartbeat parameter is peak voltage for each heartbeat, the measured peak voltages being converted into a peak voltage time series.

37. Apparatus as claimed in claim 34 wherein the means for deriving includes means for deriving a set of Differential Indicators δ

_j from the time series, and wherein the means for comparing includes means for comparing the derived set of Differential Indicators against corresponding stored Differential Indicator values.

38. Apparatus as claimed in claim 34 including means for notching the time series to eliminate unwanted detected peaks, said means for notching being operative before said mean for deriving.

39. Apparatus as claimed in claim 38 wherein said means for notching includes means for determining the means for the time series, means for determining the deviation from the mean for each of the time series, means for determining if the deviation from the mean for each entry exceeds a predetermined threshold, means for eliminating the value for each entry having a deviation from the mean exceeding the threshold, and means for substituting a selected average value for each eliminated value.

40. Apparatus as claimed in claim 34 including means for detrending the time series to remove low-frequency variations in the time series, the means for detrending being operative before the deriving means.

41. Apparatus as claimed in claim 40 wherein said means for detrending includes means for low-pass filtering the time series to isolate frequencies below a predetermined minimum threshold, and means for subtracting the results of the filtering step from the time series.