IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
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출원번호 |
UP-0343147
(2006-01-30)
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등록번호 |
US-7706852
(2010-05-20)
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발명자
/ 주소 |
|
출원인 / 주소 |
- Nellcor Puritan Bennett LLC
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인용정보 |
피인용 횟수 :
8 인용 특허 :
111 |
초록
▼
Methods and systems are described for simplified detection of unstable oxygen saturation of a patient by analysis of statistical variations in blood oxygen. One method for automatic detection of unstable oxygen saturation of a patient using a pulse oximeter comprises receiving at least a single time
Methods and systems are described for simplified detection of unstable oxygen saturation of a patient by analysis of statistical variations in blood oxygen. One method for automatic detection of unstable oxygen saturation of a patient using a pulse oximeter comprises receiving at least a single time series input of oxygen saturation values and computing at least two metrics based on statistical properties of the single time series input of the oxygen saturation values.
대표청구항
▼
What is claimed is: 1. A method for automatic detection of unstable oxygen saturation of a patient using a pulse oximeter, the method performed with a processor and comprising: receiving at least a single time series input of oxygen saturation values; computing at least two statistical metrics base
What is claimed is: 1. A method for automatic detection of unstable oxygen saturation of a patient using a pulse oximeter, the method performed with a processor and comprising: receiving at least a single time series input of oxygen saturation values; computing at least two statistical metrics based on statistical properties of the single time series input of oxygen saturation values, wherein the at least two statistical metrics in combination are sensitive to both magnitude and frequency range of oxygen saturation variations; and determining if an unstable oxygen saturation condition exists based on the at least two statistical metrics. 2. The method as in claim 1, further comprising averaging the statistical metrics. 3. The method as in claim 2, wherein determining if an unstable oxygen saturation condition exists comprises computing a value based on a relationship between the statistical metrics. 4. The method as in claim 3, further comprising providing an output if the computed value exceeds a threshold value. 5. The method as in claim 4, comprising providing an indication that cyclic saturation variations have been identified as the output. 6. The method as in claim 4, wherein the output comprises sounding an audio alarm. 7. The method as in claim 4, wherein the output comprises displaying a visual alert. 8. The method as in claim 4, wherein the threshold value varies over a range from about 60% to about 90% of a ratio of time intervals used for quantifying saturation changes. 9. The method as in claim 1, wherein the statistical metrics are selected to be sensitive to ventilation or airway instability. 10. The method as in claim 1, wherein the statistical metrics are selected to be sensitive to sleep apnea. 11. The method as in claim 1, wherein at least one statistical metric comprises a magnitude of saturation changes over 0.5 to 5 second intervals. 12. The method as in claim 11, wherein a second statistical metric comprises a magnitude of saturation changes over 10 to 30 second intervals. 13. The method as in claim 1, wherein at least one statistical metric comprises a skewness of the single time series input of oxygen saturation values. 14. The method as in claim 1, wherein at least one statistical metric comprises a kurtosis of the single time series input of oxygen saturation values. 15. The method as in claim 1, wherein the statistical metrics are selected to be sensitive to cyclic saturation variations with a period of at least 35 seconds to 5 minutes. 16. The method as in claim 1, further comprising modifying the statistical metrics based on one or more signal quality metrics. 17. The method as in claim 1, further comprising modifying the statistical metrics depending on a magnitude of the oxygen saturation values. 18. The method as in claim 1, further comprising determining whether the oxygen saturation values correspond to unstable oxygen saturation by comparing the oxygen saturation values to multiple thresholds. 19. A method for automatic detection of unstable oxygen saturation of a patient using a pulse oximeter, the method performed with a processor and comprising: receiving at least a single time series input of oxygen saturation values; computing at least two statistical metrics based on statistical properties of the single time series input of the oxygen saturation values; modifying the statistical metrics based on one or more signal quality metrics; averaging the statistical metrics; computing a value indicative of unstable oxygen saturation based on a relationship between the statistical metrics; and providing an output if the computed value exceeds a threshold value. 20. A patient monitoring system for automatically detecting unstable oxygen saturation of a patient using a pulse oximeter, the system comprising: a pulse oximeter for measuring at least a single time series input of oxygen saturation values; and a processor programmed to compute at least two statistical metrics based on statistical properties of the single time series input of oxygen saturation values, wherein the at least two statistical metrics in combination are sensitive to both magnitude and frequency range of oxygen saturation variations and programmed to determine if an unstable oxygen saturation condition exists based on the at least two metrics. 21. The system as in claim 20, wherein the processor is further programmed to average the statistical metrics. 22. The system as in claim 20, wherein the processor is further programmed to compute a value based upon a relationship between the statistical metrics. 23. The system as in claim 22, wherein the processor is further programmed to provide an output if the computed value exceeds a threshold value. 24. The system as in claim 23, wherein the statistical metrics are associated with one of cyclic saturation variations, ventilation or airway instability, and sleep apnea. 25. The system as in claim 20, wherein at least one statistical metric comprises a skewness of the single time series input of oxygen saturation values. 26. The system as in claim 20, wherein at least one statistical metric comprises a kurtosis of the single time series input of oxygen saturation values. 27. The system as in claim 20, wherein the statistical metrics are modified depending on a magnitude of the oxygen saturation values. 28. The system as in claim 20, wherein the oxygen saturation values are determined to correspond to unstable oxygen saturation by comparing the oxygen saturation values to multiple thresholds. 29. A tangible computer-readable storage medium having a computer-readable program embodied therein for directing operation of a computer system, the computer system including a communications system, a processor, and a memory device, wherein the computer-readable program includes instructions for operating the computer to automatically detect unstable oxygen saturation in a patient in accordance with the following: receiving at least a single time series input of oxygen saturation values; computing at least two statistical metrics based on statistical properties of the single time series input of oxygen saturation values, wherein the at least two statistical metrics in combination are sensitive to both magnitude and frequency range of oxygen saturation variations; and determining if an unstable oxygen saturation condition exists based on the at least two statistical metrics.
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