Methods and systems for determining physiological information based on low and high frequency components

• US 9,247,887 B2
• Filed: 09/11/2012
• Issued: 02/02/2016
• Est. Priority Date: 09/11/2012
• Status: Active Grant

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: Engelbrecht, Pirow, Rodriguez-Llorente, Fernando James, Wooder, Nicholas James
• Primary Examiner(s): Fernandez, Katherine
• Assistant Examiner(s): Negarestan, Farshad
• Application Number:
  US13/609,807
• Publication Number:
  US 20140073967A1
• Time in Patent Office: 1,239 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00

Abstract

A physiological monitoring system may process a physiological signal such a photoplethysmograph signal from a subject. The system may determine physiological information, such as a physiological rate, from the physiological signal. The system may use search techniques and qualification techniques to determine one or more initialization parameters. The initialization parameters may be used to calculate and qualify a physiological rate. The system may use signal conditioning to reduce noise in the physiological signal and to improve the determination of physiological information. The system may use qualification techniques to confirm determined physiological parameters. The system may also use autocorrelation techniques, cross-correlation techniques, fast start techniques, and/or reference waveforms when processing the physiological signal.

Claims

1. A subject pulse oximetry monitoring system for determining physiological information of a subject, comprising:

a pulse oximetry sensor configured to generate an intensity signal, wherein the pulse oximetry sensor is configured to detect light attenuated by the subject; and

a pulse oximeter coupled to the pulse oximetry sensor, wherein the pulse oximeter is configured to;

filter the intensity signal into a low frequency component and a high frequency component, wherein each of the low frequency component and the high frequency component is a candidate for being associated with a physiological rate of the subject;

determine one or more metrics for each of the low frequency component and the high frequency component;

compare the one or more metrics determined based on the low frequency component with the one or more metrics determined based on the high frequency component;

select either the low frequency component or the high frequency component based on the comparison;

determine a value indicative of the physiological rate of the subject based on the selected frequency component, wherein the physiological rate is not determined from the frequency component that was not selected; and

display the value indicative of the physiological rate of the subject on a display.

2. The system of claim 1, wherein the one or more metrics comprise at least one of a kurtosis value, a standard deviation value, and a root mean square value.

3. The system of claim 1, wherein the pulse oximeter is further configured to attenuate frequencies greater than approximately 75 BPM.

4. The system of claim 1, wherein the pulse oximeter is further configured to attenuate frequencies lesser than approximately 75 BPM.

5. The system of claim 1, wherein the pulse oximeter is further configured to:

calculate an autocorrelation sequence based on the selected frequency component;

generate a threshold based on the autocorrelation sequence;

identify threshold crossings; and

determine a difference associated with at least two threshold crossings.

6. The system of claim 1, wherein the intensity signal is a photoplethysmograph signal and wherein the physiological rate is a pulse rate.

7. A processing module of a pulse oximeter for determining physiological information of a subject, wherein the processing module is configured to:

receive an intensity signal derived from a pulse oximetry sensor, wherein the pulse oximetry sensor is configured to detect light attenuated by the subject;

filter the intensity signal into a low frequency component and a high frequency component, wherein each of the low frequency component and the high frequency component is a candidate for being associated with a physiological rate of the subject;

determine one or more metrics for each of the low frequency component and the high frequency component;

compare the one or more metrics determined based on the low frequency component with the one or more metrics determined based on the high frequency component;

select either the low frequency component or the high frequency component based on the comparison;

determine a value indicative of the physiological rate of the subject based on the selected frequency component, wherein the physiological rate is not determined from the frequency component that was not selected; and

display the value indicative of the physiological rate of the subject on a display.

8. The processing module of claim 7, wherein the one or more metrics comprise at least one of a kurtosis value, a standard deviation value, and a root mean square value.

9. The processing module of claim 7, further configured to attenuate frequencies greater than approximately 75 BPM.

10. The processing module of claim 7, further configured to attenuate frequencies lesser than approximately 75 BPM.

11. The processing module of claim 7, further configured to:

calculate an autocorrelation sequence based on the selected frequency component;

generate a threshold based on the autocorrelation sequence;

identify threshold crossings; and

determine a difference associated with at least two threshold crossings.

12. The processing module of claim 7, wherein the intensity signal is a photoplethysmograph signal and the physiological rate is a pulse rate.

13. A method for determining physiological information of a subject using a pulse oximeter, comprising:

receiving, using the pulse oximeter, an intensity signal derived from a pulse oximetry sensor, wherein the pulse oximetry sensor is configured to detect light attenuated by the subject;

filtering, using the pulse oximeter, the intensity signal into a low frequency component and a high frequency component, wherein each of the low frequency component and the high frequency component is a candidate for being associated with a physiological rate of the subject;

determining, using the pulse oximeter, one or more metrics for each of the low frequency component and the high frequency component;

comparing, using the pulse oximeter, the one or more metrics determined based on the low frequency component with the one or more metrics determined based on the high frequency component;

selecting, using the pulse oximeter, either the low frequency component or the high frequency component based on the comparison;

determining, using the pulse oximeter, a value indicative of the physiological rate of the subject based on the selected frequency component, wherein the physiological rate is not determined from the frequency component that was not selected; and

display the value indicative of the physiological rate of the subject on a display.

14. The method of claim 13, wherein the one or more metrics comprise at least one of a kurtosis value, a standard deviation value, and a root mean square value.

15. The method of claim 13, wherein filtering the intensity signal into a low frequency component comprises attenuating frequencies greater than approximately 75 BPM.

16. The method of claim 13, wherein filtering the intensity signal into a high frequency component comprises attenuating frequencies lesser than approximately 75 BPM.

17. The method of claim 13, wherein determining the value indicative of the physiological rate comprises:

calculating an autocorrelation sequence based on the selected frequency component;

generating a threshold based on the autocorrelation sequence;

identifying threshold crossings; and

determining a difference associated with at least two threshold crossings.

18. The method of claim 13, wherein the intensity signal is a photoplethysmograph signal and the physiological rate is a pulse rate.

19. A non-transitory computer-readable medium for use in determining physiological information of a subject, the non-transitory computer-readable medium comprising:

computer program instructions recorded thereon for causing a pulse oximeter to;

receive an intensity signal derived from a pulse oximetry sensor, wherein the pulse oximetry sensor is configured to detect light attenuated by the subject;

filter the intensity signal into a low frequency component and a high frequency component, wherein each of the low frequency component and the high frequency component is a candidate for being associated with a physiological rate of the subject;

determine one or more metrics for each of the low frequency component and the high frequency component;

compare the one or more metrics determined based on the low frequency component with the one or more metrics determined based on the high frequency component;

select either the low frequency component or the high frequency component based on the comparison;

determine a value indicative of the physiological rate of the subject based on the selected frequency component, wherein the physiological rate is not determined from the frequency component that was not selected; and

display the value indicative of the physiological rate of the subject on a display.

20. The non-transitory computer-readable medium of claim 19, wherein the one or more metrics comprise at least one of a kurtosis value, a standard deviation value, and a root mean square value.

21. The non-transitory computer-readable medium of claim 19, further comprising computer program instructions recorded thereon for causing the pulse oximeter to attenuate frequencies greater than approximately 75 BPM.

22. The non-transitory computer-readable medium of claim 19, further comprising computer program instructions recorded thereon for causing the pulse oximeter to attenuate frequencies lesser than approximately 75 BPM.

23. The non-transitory computer-readable medium of claim 19, further comprising computer program instructions recorded thereon for causing the pulse oximeter to:

calculate an autocorrelation sequence based on the selected frequency component;

generate a threshold based on the autocorrelation sequence;

identify threshold crossings; and

determine a difference associated with at least two threshold crossings.

24. The non-transitory computer-readable medium of claim 19, wherein the intensity signal is a photoplethysmograph signal and wherein the physiological rate is a pulse rate.