METHOD AND APPARATUS FOR NON-INVASIVE CUFF-LESS BLOOD PRESSURE ESTIMATION USING PULSE ARRIVAL TIME AND HEART RATE WITH ADAPTIVE CALIBRATION

• US 20100081946A1
• Filed: 08/26/2009
• Published: 04/01/2010
• Est. Priority Date: 09/26/2008
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Cattivelli, Federico S., Baheti, Pawan K., Garudadri, Harinath
• Application Number:
  US12/547,982
• Publication Number:
  US 20100081946A1
• Time in Patent Office: Days
• US Class Current: 600/485
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/0028 Body tissue as transmission medium, i.e. transmission systems where the medium is the human body
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/0285 Measuring or recording phase velocity of blood waves
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence

Abstract

Certain aspects of the present disclosure relate to a method for estimating a blood pressure using both a pulse arrival time (PAT) and an instantaneous heart rate (HR). The PAT can be measured as the delay between QRS peaks in an electrocardiogram (ECG) signal and corresponding points in a photoplethysmogram (PPG) waveform. Parameters of the estimation model can be determined through an initial training. Then, the model parameters can be recalibrated in constant intervals using the recursive least square (RLS) approach combined with a smooth bias fixing. The proposed estimation algorithm is applied on a multi-parameter intelligent monitoring for intensive care (MIMIC) database, and the results are compared with estimation methods that use PAT only or HR only. The proposed estimation algorithm meets, on average, the Association for the Advancement of Medical Instrumentation (AAMI) requirements and outperforms other methods from the prior art. It is also shown in the present disclosure that the proposed estimation algorithm is robust to unknown skew between the ECG and PPG signals.

Claims

1. A method for estimating a blood pressure, comprising:

estimating a pulse arrival time (PAT);

estimating a heart rate (HR); and

estimating the blood pressure based on the estimated PAT and HR.

2. The method of claim 1, wherein estimating the blood pressure comprises:

estimating a set of parameters; and

applying the estimated set of parameters on the estimated PAT and HR.

3. The method of claim 2, wherein estimating the set of parameters comprises:

collecting at least one observation of blood pressure, PAT or HR; and

estimating the set of parameters based on the at least one observation of blood pressure, PAT or HR.

4. The method of claim 2, further comprising:

calibrating the estimated set of parameters by using an adaptive algorithm.

5. The method of claim 4, wherein calibrating the estimated set of parameters comprises:

collecting initial set of observations of at least one of PAT, HR or blood pressure;

computing initial estimates of the parameters using the collected initial set of observations of at least one of PAT, HR or blood pressure;

collecting another observation of at least one of PAT, HR or blood pressure; and

updating values of the parameters based on the computed initial estimates and on the collected another observation of at least one of PAT, HR or blood pressure according to the adaptive algorithm.

6. The method of claim 4, wherein the adaptive algorithm comprises the recursive least squares algorithm.

7. The method of claim 2, further comprising:

bounding each parameter of the estimated set of parameters using a first bound and a second bound, if the parameter is smaller than the first bound or the parameter is larger than the second bound.

8. The method of claim 2, further comprising:

correcting any bias in the estimated set of parameters.

9. The method of claim 1, wherein estimating the PAT comprises:

estimating a time period between a defined point in an electrocardiogram (ECG) signal and a defined point in a photoplethysmogram (PPG) signal.

10. The method of claim 1, wherein estimating the PAT comprises:

estimating at least one time period between at least one of;

P peak, Q peak, R peak, S peak, or T peak of an electrocardiogram (ECG) signal and at least one point in a photoplethysmogram (PPG) signal.

11. The method of claim 1, wherein estimating the PAT comprises:

estimating a time period between a defined point in an acoustic signal and a defined point in a photoplethysmogram (PPG) signal.

12. The method of claim 1, wherein estimating the HR comprises:

estimating a time period between two consecutive peaks of an electrocardiogram (ECG) signal.

13. The method of claim 1, wherein estimating the HR comprises:

estimating a time period between two consecutive peaks of a photoplethysmogram (PPG) signal.

14. The method of claim 1, wherein estimating the HR comprises:

using an acoustic signal corresponding to heart sounds.

15. The method of claim 1, wherein the estimated blood pressure comprises at least one of a systolic blood pressure or a diastolic blood pressure.

16. An apparatus for estimating a blood pressure, comprising:

a first estimating circuit configured to estimate a pulse arrival time (PAT);

a second estimating circuit configured to estimate a heart rate (HR); and

a third estimating circuit configured to estimate the blood pressure based on the estimated PAT and HR.

17. The apparatus of claim 16, wherein the third estimating circuit configured to estimate the blood pressure comprises:

a fourth estimating circuit configured to estimate a set of parameters; and

a circuit configured to apply the estimated set of parameters on the estimated PAT and HR.

18. The apparatus of claim 17, wherein the fourth estimating circuit configured to estimate the set of parameters comprises:

a circuit configured to collect at least one observation of blood pressure, PAT or HR; and

an estimator configured to estimate the set of parameters based on the at least one observation of blood pressure, PAT or HR.

19. The apparatus of claim 17, further comprising:

a calibrating circuit configured to calibrate the estimated set of parameters by using an adaptive algorithm.

20. The apparatus of claim 19, wherein the calibrating circuit configured to calibrate the estimated set of parameters comprises:

a first circuit configured to collect initial set of observations of at least one of PAT, HR or blood pressure;

a computer configured to compute initial estimates of the parameters using the collected initial set of observations of at least one of PAT, HR or blood pressure;

a second circuit configured to collect another observation of at least one of PAT, HR or blood pressure; and

a processor configured to update values of the parameters based on the computed initial estimates and on the collected another observation of at least one of PAT, HR or blood pressure according to the adaptive algorithm.

21. The apparatus of claim 19, wherein the adaptive algorithm comprises the recursive least squares algorithm.

22. The apparatus of claim 17, further comprising:

a processing circuit configured to bound each parameter of the estimated set of parameters using a first bound and a second bound, if the parameter is smaller than the first bound or the parameter is larger than the second bound.

23. The apparatus of claim 17, further comprising:

a processing circuit configured to correct any bias in the estimated set of parameters.

24. The apparatus of claim 16, wherein the first estimating circuit is configured to estimate a time period between a defined point in an electrocardiogram (ECG) signal and a defined point in a photoplethysmogram (PPG) signal.

25. The apparatus of claim 16, wherein the first estimating circuit is configured to estimate at least one time period between at least one of:

P peak, Q peak, R peak, S peak, or T peak of an electrocardiogram (ECG) signal and at least one point in a photoplethysmogram (PPG) signal.

26. The apparatus of claim 16, wherein the first estimating circuit is configured to estimate a time period between a defined point in an acoustic signal and a defined point in a photoplethysmogram (PPG) signal.

27. The apparatus of claim 16, wherein the second estimating circuit is configured to estimate a time period between two consecutive peaks of an electrocardiogram (ECG) signal.

28. The apparatus of claim 16, wherein the second estimating circuit is configured to estimate a time period between two consecutive peaks of a photoplethysmogram (PPG) signal.

29. The apparatus of claim 16, wherein the second estimating circuit configured to estimate the HR comprises:

a circuit configured to use an acoustic signal corresponding to heart sounds.

30. The apparatus of claim 16, wherein the estimated blood pressure comprises at least one of a systolic blood pressure or a diastolic blood pressure.

31. An apparatus for estimating a blood pressure, comprising:

means for estimating a pulse arrival time (PAT);

means for estimating a heart rate (HR); and

means for estimating the blood pressure based on the estimated PAT and HR.

32. The apparatus of claim 31, wherein the means for estimating the blood pressure comprises:

means for estimating a set of parameters; and

means for applying the estimated set of parameters on the estimated PAT and HR.

33. The apparatus of claim 32, wherein the means for estimating the set of parameters comprises:

means for collecting at least one observation of blood pressure, PAT or HR; and

means for estimating the set of parameters based on the at least one observation of blood pressure, PAT or HR.

34. The apparatus of claim 32, further comprising:

means for calibrating the estimated set of parameters by using an adaptive algorithm.

35. The apparatus of claim 34, wherein the means for calibrating the estimated set of parameters comprises:

means for collecting initial set of observations of at least one of PAT, HR or blood pressure;

means for computing initial estimates of the parameters using the collected initial set of observations of at least one of PAT, HR or blood pressure;

means for collecting another observation of at least one of PAT, HR or blood pressure; and

means for updating values of the parameters based on the computed initial estimates and on the collected another observation of at least one of PAT, HR or blood pressure according to the adaptive algorithm.

36. The apparatus of claim 34, wherein the adaptive algorithm comprises the recursive least squares algorithm.

37. The apparatus of claim 32, further comprising:

means for bounding each parameter of the estimated set of parameters using a first bound and a second bound, if the parameter is smaller than the first bound or the parameter is larger than the second bound.

38. The apparatus of claim 32, further comprising:

means for correcting any bias in the estimated set of parameters.

39. The apparatus of claim 31, wherein the means for estimating the PAT comprises:

means for estimating a time period between a defined point in an electrocardiogram (ECG) signal and a defined point in a photoplethysmogram (PPG) signal.

40. The apparatus of claim 31, wherein the means for estimating the PAT comprises:

means for estimating at least one time period between at least one of;

P peak, Q peak, R peak, S peak, or T peak of an electrocardiogram (ECG) signal and at least one point in a photoplethysmogram (PPG) signal.

41. The apparatus of claim 31, wherein the means for estimating the PAT comprises:

means for estimating a time period between a defined point in an acoustic signal and a defined point in a photoplethysmogram (PPG) signal.

42. The apparatus of claim 31, wherein the means for estimating the HR comprises:

means for estimating a time period between two consecutive peaks of an electrocardiogram (ECG) signal.

43. The apparatus of claim 31, wherein the means for estimating the HR comprises:

means for estimating a time period between two consecutive peaks of a photoplethysmogram (PPG) signal.

44. The apparatus of claim 31, wherein the means for estimating the HR comprises:

means for using an acoustic signal corresponding to heart sounds.

45. The apparatus of claim 31, wherein the estimated blood pressure comprises at least one of a systolic blood pressure or a diastolic blood pressure.

46. A computer-program product for estimating a blood pressure, comprising a computer-readable medium comprising instructions executable to:

estimate a pulse arrival time (PAT);

estimate a heart rate (HR); and

estimate the blood pressure based on the estimated PAT and HR.

47. A medical sensing device, comprising:

a sensor configured to sense a plurality of signals;

a first estimating circuit configured to estimate a pulse arrival time (PAT) based on at least two of the sensed signals;

a second estimating circuit configured to estimate a heart rate (HR) based on at least one of the sensed signals;

a third estimating circuit configured to estimate a blood pressure based on the estimated PAT and HR; and

a user interface configured to provide an indication based on the estimated blood pressure.

48. A watch, comprising:

a first estimating circuit configured to estimate a pulse arrival time (PAT);

a second estimating circuit configured to estimate a heart rate (HR);

a third estimating circuit configured to estimate a blood pressure based on the estimated PAT and HR; and

a user interface configured to provide an indication based on the estimated blood pressure.

49. A monitoring device, comprising:

a connector;

a receiver configured to receive via the connector a plurality of signals;

a first estimating circuit configured to estimate a pulse arrival time (PAT) based on at least two of the received signals;

a second estimating circuit configured to estimate a heart rate (HR) based on at least one of the received signals;

a third estimating circuit configured to estimate a blood pressure based on the estimated PAT and HR; and

a user interface configured to provide an indication based on the estimated blood pressure.