Methods and systems for determining physiological information based on statistical regression analysis

• US 9,226,670 B2
• Filed: 09/11/2012
• Issued: 01/05/2016
• 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): Le, Long V
• Assistant Examiner(s): Negarestan, Farshad
• Application Number:
  US13/609,455
• Publication Number:
  US 20140073940A1
• Time in Patent Office: 1,211 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• 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 select two segments of the physiological signal, shifted in time relative to one another by a lag value, and determine a correlation value between the two segments. The system may determine a metric based on the segments, and determine correlation information based on the correlation value and the metric. The metric may be indicative of how well the segments are correlated, providing additional information relative to the correlation value. Based on the metric, the system may modify the correlation value, determine a confidence value, or determine other information. The system may determine physiological rate information based on the correlation information.

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;

select a first segment of the physiological signal comprising a plurality of values;

select multiple segments of the physiological signal, each comprising a plurality of values, wherein the multiple segments are each shifted in time from the first segment by a unique lag;

determine multiple correlation values between the first segment and the multiple segments;

analyze the first segment and the multiple segments to determine a plurality of metric values;

determine correlation information based on the multiple correlation values and based on the plurality of metric values;

determine a physiological rate of the subject based on the determined correlation information; and

display the physiological rate of the subject on a display.

2. The system of claim 1, wherein the pulse oximeter is further configured to modify the multiple correlation values based on the plurality of metric values.

3. The system of claim 1, wherein the correlation information corresponds to a peak in the multiple correlation values.

4. The system of claim 1, wherein the pulse oximeter is further configured to generate a plurality of value pairs each comprising a value of the first segment and a corresponding value of one of the multiple segments.

5. The system of claim 4, wherein the pulse oxi meter is further configured to determine the plurality of metric values based on the plurality of value pairs and a reference relationship.

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

apply a transform to the plurality of value pairs to generate a plurality of transformed value pairs comprising a first value and a second value; and

analyze the distribution of the transformed value pairs relative to the plurality of first values of the transformed value pairs.

7. The system of claim 1, wherein the plurality of metric values comprises confidence values, and wherein the pulse oximeter is further configured to generate modified correlation values by multiplying each of the multiple correlation values by a corresponding one of the plurality of metric values.

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

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

select a first segment of the physiological signal comprising a plurality of values;

select multiple segments of the physiological signal, each comprising a plurality of values, wherein the multiple segments are each shifted in time from the first segment by a unique lag;

determine multiple correlation values between the first segment and the multiple segments;

analyze the first segment and the multiple segments to determine a plurality of metric values;

determine correlation information based on the multiple correlation values and based on the plurality of metric values; and

determine a physiological rate of the subject based on the determined correlation information; and

display the physiological rate of the subject on a display.

9. The processing module of claim 8, further configured to modify the multiple correlation values based on the plurality of metric values.

10. The processing module of claim 8, wherein the correlation information corresponds to a peak in the multiple correlation values.

11. The processing module of claim 8, further configured to generate a plurality of value pairs each comprising a value of the first segment and a corresponding value of one of the multiple segments.

12. The processing module of claim 11, further configured to determine the plurality of metric values based on the plurality of value pairs and a reference relationship.

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

apply a transform to the plurality of value pairs to generate a plurality of transformed value pairs comprising a first value and a second value; and

analyze the distribution of the transformed value pairs relative to the plurality of first values of the transformed value pairs.

14. The processing module of claim 8, wherein the plurality of metric values comprises confidence values, the processing module further configured to generate modified correlation values by multiplying each of the multiple correlation values by a corresponding one of the plurality of metric values.

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

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

selecting, using the pulse oximeter, a first segment of the physiological signal comprising a plurality of values;

selecting, using the pulse oximeter, a second multiple segments of the physiological signal, each comprising a plurality of values, wherein the multiple segments are each shifted in time from the first segment by a unique lag;

determining, using the pulse oximeter, multiple correlation values between the first segment and the multiple segments;

analyzing, using the pulse oximeter, the first segment and the multiple segments to determine a plurality of metric values;

determining, using the pulse oximeter, correlation information based on the multiple correlation values and based on the plurality of metric values; and

determining, using the pulse oximeter, a physiological rate of the subject based on the determined correlation information; and

displaying, using the pulse oximeter, the physiological rate of the subject on a display.

16. The method of claim 15, wherein determining correlation information comprises modifying the multiple correlation values based on the plurality of metric values.

17. The method of claim 15, wherein the correlation information corresponds to a peak in the multiple correlation values.

18. The method of claim 15, wherein analyzing the first segment and the multiple segments comprises generating a plurality of value pairs each comprising a value of the first segment and a corresponding value of one of the multiple segments.

19. The method of claim 18, wherein analyzing the first segment and the multiple segments further comprises determining the plurality of metric values based on the plurality of value pairs and a reference relationship.

20. The method of claim 18, wherein analyzing the first segment and the multiple segments further comprises:

applying a transform to the plurality of value pairs to generate a plurality of transformed value pairs comprising a first value and a second value; and

analyzing the distribution of the transformed value pairs relative to the plurality of first values of the transformed value pairs.

21. The method of claim 15, wherein the plurality of metric values comprises confidence values, and wherein determining the correlation information comprises generating modified correlation values by multiplying each of the multiple correlation values by a corresponding one of the plurality of metric values.

22. 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 an output of a detector of a pulse oximetry sensor, wherein the detector detects light attenuated by the subject;

select a first segment of the physiological signal comprising a plurality of values;

select a second multiple segments of the physiological signal, each comprising a plurality of values, wherein the multiple segments are each shifted in time from the first segment by a unique lag;

determine multiple correlation values between the first segment and the multiple segments;

analyze the first segment and the multiple segments to determine a plurality of metric values;

determine correlation information based on the multiple correlation values and based on the plurality of metric values;

determine a physiological rate of the subject based on the determined correlation information; and

display the physiological rate of the subject on a display.

23. The non-transitory computer-readable medium of claim 22, comprising further computer program instructions recorded thereon for causing the pulse oximeter to modify the multiple correlation values based on the plurality of metric values.

24. The non-transitory computer-readable medium of claim 22, wherein the correlation information corresponds to a peak in the multiple correlation values.

25. The non-transitory computer-readable medium of claim 22, comprising further computer program instructions recorded thereon for causing the pulse oximeter to generate a plurality of value pairs each comprising a value of the first segment and a corresponding value of one of the multiple segments.

26. The non-transitory computer-readable medium of claim 25, comprising further computer program instructions recorded thereon for causing the pulse oximeter to determine the plurality of metric values based on the plurality of value pairs and a reference relationship.

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

apply a transform to the plurality of value pairs to generate a plurality of transformed value pairs comprising a first value and a second value; and

analyze the distribution of the transformed value pairs relative to the plurality of first values of the transformed value pairs.

28. The non-transitory computer-readable medium of claim 22, wherein the metric is a confidence value, and wherein the computer-readable medium comprises further computer program instructions recorded thereon for causing the pulse oximeter to generate modified correlation values by multiplying each of the multiple correlation values by a corresponding one of the plurality of metric values.