Methods and systems for determining physiological information based on a correlation matrix

• US 9,357,936 B2
• Filed: 09/11/2012
• Issued: 06/07/2016
• Est. Priority Date: 09/11/2012
• Status: Active Grant

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: Rodriguez-Llorente, Fernando, Engelbrecht, Pirow, Wooder, Nicholas James
• Primary Examiner(s): ZEMAN, MARY K
• Application Number:
  US13/609,452
• Publication Number:
  US 20140073939A1
• Time in Patent Office: 1,365 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 6/5217 extracting a diagnostic or physiological parameter from medical diagnostic data
• CPC Class Codes: A61B 8/5223 for extracting a diagnostic or physiological parameter from medical diagnostic data for algorithms to analyse biomedical images G06T7/0012

Abstract

A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may generate a lag matrix, which includes multiple segments of the physiological signal each having the same number of values. The system may generate a correlation matrix, which includes multiple correlation values, based on the lag matrix. The system may identify a peak in the correlation lag matrix, or a processed matrix derived thereof, and the corresponding lag value. The correlation matrix, or processed matrix thereof, may be rotated, averaged, or otherwise transformed by the system to identify the lag value. The system may determine physiological rate information based on the identified lag value.

Claims

1. A subject monitoring system for processing physiological information of a subject, comprising:

a pulse oximetry sensor configured to generate a physiological signal, wherein the pulse oximetry sensor detects light attenuated by the subject; and

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

receive the physiological signal from the pulse oximetry sensor;

generate a lag matrix comprising multiple segments of the physiological signal, wherein each of the multiple segments comprises the same number of samples of the physiological signal;

generate a correlation matrix based on the lag matrix, wherein the correlation matrix comprises a plurality of correlation values;

identify one or more lag values based on the correlation matrix,

determine a physiological pulse rate of the subject based on the identified one or more lag values; and

display the physiological pulse rate of the subject on a display.

2. The system of claim 1, wherein the pulse oximeter is configured to generate the correlation matrix at least in part by performing a matrix multiplication of the lag matrix with a transpose of the lag matrix.

3. The system of claim 1, wherein the pulse oximeter is configured to identify the one or more lag values at least in part by:

processing the correlation matrix to generate a processed correlation matrix; and

identifying at least one peak based on the processed correlation matrix.

4. The system of claim 3, wherein the pulse oximeter is further configured to:

process the correlation matrix by applying a matrix rotation; and

identify the at least one peak by;

averaging correlation values along a direction of the correlation matrix to generate an array of averaged correlation values; and

identifying a peak in the array of the averaged correlation values.

5. The system of claim 4, wherein the matrix rotation is a substantially 45 degree matrix rotation.

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

identify one or more regions of the correlation matrix corresponding to noise; and

identify the one or more lag values based on the correlation matrix excluding the one or more regions.

7. A processing module of a pulse oximeter for processing physiological information of a subject, wherein the processing module comprises non-transitory computer readable media configured to store instructions that instruct the processing module to:

receive a physiological signal derived from a pulse oximetry sensor, wherein the pulse oximetry sensor detects light attenuated by the subject;

generate a lag matrix comprising multiple segments of the physiological signal, wherein each of the multiple segments comprises the same number of samples of the physiological signal;

generate a correlation matrix based on the lag matrix, wherein the correlation matrix comprises a plurality of correlation values;

identify one or more lag values based on the correlation matrix;

determine a physiological pulse rate of the subject based on the identified one or more lag values; and

display the physiological pulse rate of the subject on a display.

8. The processing module of claim 7, wherein the instructions instruct the processing module to generate the correlation matrix at least in part by performing a matrix multiplication of the lag matrix with a transpose of the lag matrix.

9. The processing module of claim 7, wherein the instructions instruct the processing module to identify the one or more lag values at least in part by:

processing the correlation matrix to generate a processed correlation matrix; and

identifying at least one peak based on the processed correlation matrix.

10. The processing module of claim 9, wherein the non-transitory computer-readable media is further configured to store instructions that instruct the processing module to:

process the correlation matrix by applying a matrix rotation; and

identify the at least one peak by;

averaging correlation values along a direction of the correlation matrix to generate an array of averaged correlation values; and

identifying a peak in the array of the averaged correlation values.

11. The processing module of claim 10, wherein the matrix rotation is a substantially 45 degree matrix rotation.

12. The processing module of claim 7, wherein the non-transitory computer-readable media is further configured to store instructions that instruct the processing module to:

identify one or more regions of the correlation matrix corresponding to noise; and

identify the one or more lag values based on the correlation matrix excluding the one or more regions.

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

receiving, using the pulse oximeter, a physiological signal derived from a pulse oximetry sensor, wherein the pulse oximetry sensor detects light attenuated by the subject;

generating, using the pulse oximeter, a lag matrix comprising multiple segments of the physiological signal, wherein each of the multiple segments comprises the same number of samples of the physiological signal;

generating, using the pulse oximeter, a correlation matrix based on the lag matrix, wherein the correlation matrix comprises a plurality of correlation values;

identifying, using the pulse oximeter, one or more lag values based on the correlation matrix;

determining a physiological pulse rate of the subject based on the identified one or more lag values; and

displaying the physiological pulse rate of the subject on a display.

14. The method of claim 13, wherein generating the correlation matrix comprises performing a matrix multiplication of the lag matrix with a transpose of the lag matrix.

15. The method of claim 13, wherein identifying the one or more lag values at least comprises:

processing the correlation matrix to generate a processed correlation matrix; and

identifying at least one peak based on the processed correlation matrix.

16. The method of claim 15, wherein:

processing the correlation matrix comprises applying a matrix rotation; and

identifying the at least one peak comprises;

averaging correlation values along a direction of the correlation matrix to generate an array of averaged correlation values; and

identifying a peak in the array of the averaged correlation values.

17. The method of claim 16, wherein applying the matrix rotation comprises applying a substantially 45 degree matrix rotation.

18. The method of claim 13, further comprising identifying one or more regions of the correlation matrix corresponding to noise, wherein identifying the one or more lag values based on the correlation matrix comprises identifying the one or more lag values based on the correlation matrix excluding the one or more regions.

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

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

receive a physiological signal derived from a pulse oximetry sensor, wherein the pulse oximetry sensor detects light attenuated by the subject;

generate a lag matrix comprising multiple segments of the physiological signal, wherein each of the multiple segments comprises the same number of samples of the physiological signal;

generate a correlation matrix based on the lag matrix, wherein the correlation matrix comprises a plurality of correlation values;

identify one or more lag values based on the correlation matrix;

determine a physiological pulse rate of the subject based on the identified one or more lag values; and

display the physiological pulse rate of the subject on a display.

20. The non-transitory computer-readable medium of claim 19, comprising further computer program instructions recorded thereon for causing the pulse oximeter to generate the correlation matrix at least in part by performing a matrix multiplication of the lag matrix with a transpose of the lag matrix.

21. The non-transitory computer-readable medium of claim 19, comprising further computer program instructions recorded thereon for causing the pulse oximeter to identify the one or more lag values at least in part by:

processing the correlation matrix to generate a processed correlation matrix; and

identifying at least one peak based on the processed correlation matrix.

22. The non-transitory computer-readable medium of claim 21, comprising further computer program instructions recorded thereon for causing the pulse oximeter to:

process the correlation matrix by applying a matrix rotation; and

identify the at least one peak by;

averaging correlation values along a direction of the correlation matrix to generate an array of averaged correlation values; and

identifying a peak in the array of the averaged correlation values.

23. The non-transitory computer-readable medium of claim 22, wherein the matrix rotation is a substantially 45 degree matrix rotation.

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

identify one or more regions of the correlation matrix corresponding to noise; and

identify the one or more lag values based on the correlation matrix excluding the one or more regions.