System and method for automatic detection of a plurality of SPO2 time series pattern types
The disclosed embodiments relate to pulse oximetry. An exemplary pulse oximeter comprises a probe that is adapted to be attached to a body part of a patient to create a signal indicative of an oxygen saturation of blood of the patient, and a processor that is adapted to receive the signal produced by the probe, to calculate an SPO2 value based on the signal, to detect a plurality of pattern types of SPO2 indicative of pathophysiologic events, and to produce an output indicative of a detected one of the plurality of pattern types.
1. A pulse oximeter, comprising:
a probe that is adapted to be attached to a body part of a patient to create a signal indicative of an oxygen saturation of blood of the patient; and
a processor that is adapted to receive the signal created by the probe, to calculate an SPO2 value based on the signal, to detect a plurality of pattern types of SPO2 indicative of pathophysiologic events, to detect at least one SPO2 shape feature of a rise event of one of the pattern types of SPO2, the shape feature being suggestive of arousal response failure, to calculate an SPO2 severity index responsive to the plurality of pattern types of SPO2, wherein the SPO2 severity index increases in response to detection of a pattern suggestive of arousal response failure, and to produce an output indicative of the SPO2 severity index.
2. The pulse oximeter recited in claim 1 , comprising a display that is adapted to provide a visual indication corresponding to the output.
3. The pulse oximeter recited in claim 2 , wherein the visual indication comprises a text message.
4. The pulse oximeter recited in claim 1 , wherein at least one of the plurality of pattern types of SPO2 is indicative of a recovery failure.
5. The pulse oximeter recited in claim 1 , wherein at least one of the plurality of pattern types of SPO2 is indicative of a threshold failure.
6. The pulse oximeter recited in claim 1 , wherein the SPO2 shape feature comprises an SPO2 peak value.
7. The pulse oximeter recited in claim 1 , wherein the SPO2 shape feature comprises an SPO2 magnitude.
8. The pulse oximeter recited in claim 1 , wherein the SPO2 shape feature comprises a magnitude of the rise event in relationship to a magnitude of a corresponding fall event.
9. A pulse oximeter, comprising:
a probe that is adapted to be attached to a body part of a patient to create a signal indicative of an oxygen saturation of blood of the patient; and
a processor that is adapted to receive the signal created by the probe, to calculate an SPO2 value based on the signal, to detect a plurality of cluster pattern types of SPO2, to detect at least one SPO2 shape feature of a rise event of one of the plurality of cluster pattern types of SPO2, the shape feature being suggestive of arousal response failure, to calculate an SPO2 severity index responsive to the plurality of cluster pattern types of SPO2, wherein the SPO2 severity index increases in response to detection of a pattern suggestive of arousal response failure, and to produce an output indicative of the SPO2 severity index.
10. The pulse oximeter recited in claim 9 , comprising a display that is adapted to provide a visual indication corresponding to the output.
11. The pulse oximeter recited in claim 10 , wherein the visual indication comprises a text message.
12. The pulse oximeter recited in claim 9 , wherein the one of the plurality of cluster pattern types of SPO2 is indicative of a recovery failure.
13. The pulse oximeter recited in claim 9 , wherein the one of the plurality of cluster pattern types of SPO2 is indicative of a threshold failure.
14. The pulse oximeter recited in claim 9 , wherein the processor is adapted to calculate a plurality of sequential severity indices of the one of the plurality of cluster pattern types of SPO2.
15. The pulse oximeter recited in claim 9 , wherein the processor is adapted to calculate a time series of severity indices of the one of the plurality of cluster pattern types of SPO2.
16. The pulse oximeter recited in claim 9 , wherein the SPO2 shape feature comprises an SPO2 peak value.
17. The pulse oximeter recited in claim 9 , wherein the SPO2 shape feature comprises an SPO2 magnitude.
18. The pulse oximeter recited in claim 9 , wherein the SPO2 shape feature comprises a magnitude of the rise event in relationship to a magnitude of a corresponding fall event.
19. A pulse oximeter, comprising:
a probe that is adapted to be attached to a body part of a patient to create a signal indicative of an oxygen saturation of blood of the patient; and
a processor that is adapted to receive the signal created by the probe, to calculate an SPO2 value based on the signal, to detect a plurality of different cluster pattern types of SPO2, to detect at least one SPO2 shape feature of a rise event of one of the plurality of different cluster pattern types of SPO2, the shape feature being suggestive of arousal response failure, and to calculate an SPO2 severity index responsive to the plurality of different cluster pattern types of SPO2, wherein the SPO2 severity index increases in response to detection of a pattern suggestive of arousal response failure, and to produce an output indicative of the SPO2 severity index.
20. The pulse oximeter recited in claim 19 , comprising a display that is adapted to provide a visual indication corresponding to the output.
21. The pulse oximeter recited in claim 20 , wherein the visual indication comprises a text message.
22. The pulse oximeter recited in claim 19 , wherein at least one of the plurality of different cluster pattern types of SPO2 is indicative of a recovery failure.
23. The pulse oximeter recited in claim 19 , wherein at least one of the plurality of different cluster pattern types of SPO2 is indicative of a threshold failure.
24. The pulse oximeter recited in claim 19 , wherein the processor is adapted to calculate a plurality of sequential severity indices of at least one of the plurality of different cluster pattern types of SPO2.
25. The pulse oximeter recited in claim 19 , wherein the processor is adapted to calculate a time series of severity indices of at least one of the plurality of different cluster pattern types of SPO2.
26. The pulse oximeter recited in claim 19 , wherein the processor is adapted to determine an indication of severity of one or more of the plurality of different cluster pattern types of SPO2.
27. The pulse oximeter recited in claim 19 , wherein the processor is adapted to display an indication of severity of one or more of the plurality of different cluster pattern types of SPO2.
28. The pulse oximeter recited in claim 19 , wherein the processor is adapted to calculate a plurality of sequential severity indices of one or more of the plurality of different cluster pattern types of SPO2.
29. The pulse oximeter recited in claim 19 , wherein the processor is adapted to calculate a time series of severity indices of one or more of the plurality of different cluster pattern types of SPO2.
30. The pulse oximeter recited in claim 19 , wherein the SPO2 shape feature comprises an SPO2 peak value.
31. The pulse oximeter recited in claim 19 , wherein the SPO2 shape feature comprises an SPO2 magnitude.
32. The pulse oximeter recited in claim 19 , wherein the SPO2 shape feature comprises a magnitude of the rise event in relationship to a magnitude of a corresponding fall event.
33. A method of monitoring a patient, comprising:
receiving a signal indicative of an oxygen saturation of blood of the patient;
calculating, by a processor of a monitor, an SPO2 value based on the signal;
detecting a plurality of pattern types of SPO2 indicative of pathophysiologic events suggestive of arousal response failure;
detecting at least one SPO2 shape feature of a rise event of one of the plurality of pattern types of SPO2, the shape feature being suggestive of arousal response failure;
calculating an SPO2 severity index responsive to the plurality of pattern types of SPO2, wherein the SPO2 severity index increases in response to detection of a pattern suggestive of arousal response failure; and
producing an output indicative of the SPO2 severity index.
34. The method of claim 33 , wherein the at least one SPO2 shape feature comprises an SPO2 peak.
35. The method of claim 33 , wherein the at least one SPO2 shape feature comprises an SPO2 magnitude.
36. The method of claim 33 , wherein the at least one SPO2 shape feature comprises a magnitude of the rise event in relationship to a magnitude of a corresponding fall event.
37. A method of monitoring a patient, comprising:
receiving a signal indicative of an oxygen saturation of blood of the patient;
calculating, by a processor of a monitor, an SPO2 value based on the signal;
detecting a plurality of cluster pattern types of SPO2 suggestive of arousal response failure;
calculating an SPO2 severity index responsive to the plurality of cluster pattern types of SPO2, wherein the SPO2 severity index increases in response to the detection of a cluster pattern type of SPO2 suggestive of arousal response failure; and
producing an output indicative of SPO2 severity index.
38. The method of claim 37 , wherein an SPO2 shape feature detected from one or more of the plurality of cluster pattern types of SPO2 comprises an SPO2 peak value.
39. The method of claim 37 , wherein an SPO2 shape feature detected from one or more of the plurality of cluster pattern types of SPO2 comprises an SPO2 magnitude.
40. The method of claim 37 , wherein an SPO2 shape feature detected from one or more of the plurality of cluster pattern types of SPO2 comprises a magnitude of a rise event in relationship to a magnitude of a corresponding fall event.
41. A method of monitoring a patient, comprising:
receiving a signal indicative of an oxygen saturation of blood of the patient;
calculating, by a processor of a monitor, an SPO2 value based on the signal;
detecting a plurality of different cluster pattern types of SPO2 suggestive of arousal response failure;
detecting at least one SPO2 shape feature of a rise event of one of the plurality of different cluster pattern types of SPO2, the shape feature being suggestive of arousal response failure;
calculating an SPO2 severity index responsive to the plurality of different cluster pattern types of SPO2, wherein the SPO2 severity index increases in response to detection of a pattern suggestive of arousal response failure; and
producing an output indicative of the SPO2 severity index.
42. The method of claim 41 , wherein the at least one SPO2 shape feature comprises an SPO2 peak value.
43. The method of claim 41 , wherein the at least one SPO2 shape feature comprises an SPO2 magnitude.
44. The method of claim 41 , wherein the at least one SPO2 shape feature comprises a magnitude of the rise event in relationship to a magnitude of a corresponding fall event.