Systems And Methods For Processing Signals With Repetitive Features

• US 20090326388A1
• Filed: 10/10/2008
• Published: 12/31/2009
• Est. Priority Date: 06/30/2008
• Status: Abandoned Application

• Current Assignee: Nellcor Puritan Bennett Ireland
• Original Assignee: Nellcor Puritan Bennett Ireland
• Inventors: Addison, Paul Stanley, Watson, James
• Application Number:
  US12/249,053
• Publication Number:
  US 20090326388A1
• Time in Patent Office: Days
• US Class Current: 600/484
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/412 Detecting or monitoring sepsis
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

The present disclosure relates to systems and methods for detecting features of a signal. According to embodiments, by transposing segments of a signal, such as segments representing pulses in a PPG signal, such that they are stacked next to each other, various characteristics about the signal may be discerned such as information about repetitive features of the signal. According to an embodiment, from a PPG signal respiration information may be determined about individual breaths, blood pressure changes may be determined, and information about other physiological parameters affecting the PPG signal may be determined.

Claims

1. A method for processing a signal, comprising:

receiving the signal comprising a repetitive component;

identifying a plurality of features of the signal corresponding to the at least one repetitive component;

transposing a plurality of segments of the signal to form a stack of segments, the segments having as starting and ending points adjacent identified features; and

deriving information based at least in part from the stack of segments.

2. The method of claim 1, wherein the signal comprises a photoplethysmograph (PPG) signal.

3. The method of claim 2, wherein deriving information comprises identifying individual breaths in the stack of segments.

4. The method of claim 2, wherein deriving information comprises deriving a respiration rate.

5. The method of claim 2, wherein the repetitive component comprises a pulse component of the PPG signal.

6. The method of claim 1, wherein identifying a plurality of features of the signal comprises identifying a plurality of turning points of the signal.

7. The method of claim 1, wherein transposing the plurality of segments of the signal to form a stack of segments comprises aligning each subsequent segment next to the previous segment along a first axis, wherein the length of each segment extends along a second axis perpendicular to the first axis.

8. The method of claim 7, further comprising detecting local maxima across either the first axis and/or the second axis to identify ridges.

9. The method of claim 8, wherein the signal comprises a PPG signal, and wherein deriving information comprises analyzing the ridges detected along the first axis to calculate the differential phase effect of respiration within each segment.

10. The method of claim 1 wherein the signal comprises a PPC signal and wherein deriving information comprises determining variations in blood pressure.

11. The method of claim 1 wherein the signal comprises a PPG signal and wherein deriving information comprises determining arterial compliance change.

12. The method of claim 1 wherein the signal comprises a PPG signal and wherein deriving information comprises determining illness severity.

13. A system for signal processing comprising:

a processor capable of;

receiving a signal comprising a repetitive component,

identifying a feature of the signal corresponding to the repetitive component,

transposing a plurality of segments of the signal to form a stack of segments, the segments comprising starting and ending points generally adjacent the identified feature; and

deriving information based at least in part upon the stack of segments.

14. The system of claim 13, comprising a sensor, and wherein the processor receives the signal from the sensor.

15. The system of claim 14, wherein the sensor comprises a pulse oximeter and the signal comprises a photoplethysmograph (PPG) signal.

16. The system of claim 15, wherein deriving information comprises identifying individual breaths by identifying local maxima in the stack of segments.

17. The system of claim 15, wherein deriving information comprises deriving a respiration rate.

18. The system of claim 15, wherein the repetitive component is a pulse component of the PPG signal.

19. The system of claim 13, wherein identifying a feature of the signal comprises identifying a turning point of the signal.

20. The system of claim 13, wherein transposing the plurality of segments of the signal to form a stack of segments comprises aligning each subsequent segment next to the previous segment along a first axis, wherein the length of each segment extends along a second axis perpendicular to the first axis.

21. The system of claim 24, wherein the processor is capable of identifying ridges in the stack.

22. The system of claim 21, comprising a pulse oximeter, wherein the signal comprises a photoplethysmograph (PPG) signal and deriving information comprises analyzing the ridges detected along the first axis to calculate the differential phase effect of respiration within each segment.

23. The system of claim 13, comprising a pulse oximeter, wherein the signal comprises a photoplethysmograph (PPG) signal and deriving information comprises determining variations in blood pressure.

24. The system of claim 13, comprising a pulse oximeter, wherein the signal comprises a photoplethysmograph (PPG) signal and deriving information comprises determining arterial compliance change.

25. The system of claim 13, comprising a pulse oximeter, wherein the signal comprises a photoplethysmograph (PPG) signal and deriving information comprises determining illness severity.

26. The system of claim 13, wherein the processor is capable of issuing an alert based in part on the derived information.

27. A computer readable medium storing computer readable instructions, which, when executed by a processor, cause the processor to a carry out a method comprising:

receiving a signal comprising a repetitive component;

identifying a plurality of features of the signal corresponding to the at least one repetitive component;

transposing a plurality of segments of the signal to form a stack of segments, the segments having as starting and ending points adjacent identified features; and

deriving information based at least in part from the stack of segments.

28. The computer readable media of claim 27, wherein the signal comprises a photoplethysmograph (PPG) signal.

29. The computer readable media of claim 28, wherein deriving information comprises analyzing ridges detected along a first axis of the stack to calculate a differential phase effect of respiration within each segment.

30. The computer readable media of claim 28, wherein deriving information comprises at least one of determining variations in blood pressure, determining arterial compliance change, and determining illness severity.