Pulse oximetry relational alarm system for early recognition of instability and catastrophic occurrences
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
A61B-005/00
A61B-005/02
A61B-005/08
출원번호
US-0148325
(2005-06-09)
등록번호
US-7398115
(2008-07-08)
발명자
/ 주소
Lynn,Lawrence A.
출원인 / 주소
Lynn,Lawrence A.
대리인 / 주소
Fletcher Yoder
인용정보
피인용 횟수 :
135인용 특허 :
114
초록▼
A relational pulse oximetry alarm system and method is presented for earlier identification of the occurrence of an adverse clinical event. The system includes a pulse oximeter based microprocessor alarm system which provides an alarm based on a relational conformation of a plurality of time series
A relational pulse oximetry alarm system and method is presented for earlier identification of the occurrence of an adverse clinical event. The system includes a pulse oximeter based microprocessor alarm system which provides an alarm based on a relational conformation of a plurality of time series and further based on the recognition of specific dynamic patterns of interaction between a plurality of corresponding and related time series including the occurrence of pathophysiologic divergence of two or more time series outputs. The processor is programmed to compare a first time series to a second time series to produce a comparison result, to identify a relationship between the first time series and the second time series, to identify a relational threshold breach, and to output an alarm based on the relational threshold breach. The system can include an oximeter testing system for predicting the timeliness of the response of the alarm of a pulse oximeter to the occurrence of an adverse clinical event.
대표청구항▼
What is claimed is: 1. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; producing an alarm output if data corresponding to the primary threshold breach i
What is claimed is: 1. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; producing an alarm output if data corresponding to the primary threshold breach is discovered; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of the relational threshold breach if data corresponding to the relational threshold breach is discovered, wherein the second one of the plurality of time series corresponds to timed ventilation. 2. The method of claim 1, wherein the output indicative of the relational threshold breach comprises an alarm. 3. The method of claim 1, wherein the first one of the plurality of time series comprises data corresponding to a physiologic parameter of a patient. 4. The method of claim 1, wherein the first one of the plurality of time series corresponds to oxygen saturation. 5. The method of claim 1, wherein the relationship comprises at least one pattern relationship. 6. The method of claim 5, wherein the pattern relationship comprises downward sloping oxygen saturation. 7. The method of claim 1, wherein the relationship comprises at least one trending relationship. 8. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; producing an alarm output if data corresponding to the primary threshold breach is discovered; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of the relational threshold breach if data corresponding to the relational threshold breach is discovered, wherein the second one of the plurality of time series corresponds to a respiratory rate. 9. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; producing an alarm output if data corresponding to the primary threshold breach is discovered; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of the relational threshold breach if data corresponding to the relational threshold breach is discovered, wherein the second one of the plurality of time series corresponds to a respiratory amplitude. 10. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; producing an alarm output if data corresponding to the primary threshold breach is discovered; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of the relational threshold breach if data corresponding to the relational threshold breach is discovered, wherein the second one of the plurality of time series corresponds to a derivative of both a respiratory rate and a respiratory amplitude. 11. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; producing an alarm output if data corresponding to the primary threshold breach is discovered; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of the relational threshold breach if data corresponding to the relational threshold breach is discovered, wherein the second one of the plurality of time series corresponds to a magnitude of timed ventilation. 12. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; producing an alarm output if data corresponding to the primary threshold breach is discovered; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of the relational threshold breach if data corresponding to the relational threshold breach is discovered, wherein the relationship comprises a fall in oxygen saturation coupled to a rise in respiration rate. 13. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; producing an alarm output if data corresponding to the primary threshold breach is discovered; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of the relational threshold breach if data corresponding to the relational threshold breach is discovered, wherein the relationship is a derivative of both a parameter rate and a parameter amplitude. 14. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series, the relationship being independent of the primary threshold breach; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of at least one of the primary threshold breach and the relational threshold breach if data corresponding to such a breach is discovered, wherein the relationship comprises an indication of ventilation by chest wall impedance. 15. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series, the relationship being independent of the primary threshold breach; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of at least one of the primary threshold breach and the relational threshold breach if data corresponding to such a breach is discovered, wherein the second one of the plurality of time series corresponds to timed ventilation. 16. The method of claim 15, wherein the output comprises an alarm. 17. The method of claim 15, wherein the first one of the plurality of time series comprises data corresponding to a physiologic parameter of a patient. 18. The method of claim 15, wherein the first one of the plurality of time series corresponds to oxygen saturation. 19. The method of claim 15, wherein the relationship comprises at least one pattern relationship. 20. The method of claim 19, wherein the pattern relationship comprises downward sloping oxygen saturation. 21. The method of claim 15, wherein the relationship comprises at least one trending relationship. 22. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series, the relationship being independent of the primary threshold breach; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of at least one of the primary threshold breach and the relational threshold breach if data corresponding to such a breach is discovered, wherein the second one of the plurality of time series corresponds to a respiratory rate. 23. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series, the relationship being independent of the primary threshold breach; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of at least one of the primary threshold breach and the relational threshold breach if data corresponding to such a breach is discovered, wherein the second one of the plurality of time series corresponds to a respiratory amplitude. 24. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series, the relationship being independent of the primary threshold breach; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of at least one of the primary threshold breach and the relational threshold breach if data corresponding to such a breach is discovered, wherein the second one of the plurality of time series corresponds to a derivative of both a respiratory rate and a respiratory amplitude. 25. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series, the relationship being independent of the primary threshold breach; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of at least one of the primary threshold breach and the relational threshold breach if data corresponding to such a breach is discovered, wherein the second one of the plurality of time series corresponds to a magnitude of timed ventilation. 26. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series, the relationship being independent of the primary threshold breach; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of at least one of the primary threshold breach and the relational threshold breach if data corresponding to such a breach is discovered, wherein the relationship comprises a fall in oxygen saturation coupled to a rise in respiration rate. 27. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series, the relationship being independent of the primary threshold breach; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of at least one of the primary threshold breach and the relational threshold breach if data corresponding to such a breach is discovered, wherein the relationship is a derivative of both a parameter rate and a parameter amplitude. 28. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series for data corresponding to a primary threshold breach; searching the first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a relationship between the first one of the plurality of time series and the second one of the plurality of time series, the relationship being independent of the primary threshold breach; searching data corresponding to the relationship for data corresponding to a relational threshold breach; and producing an output indicative of at least one of the primary threshold breach and the relational threshold breach if data corresponding to such a breach is discovered, wherein the relationship comprises an indication of ventilation by chest wall impedance. 29. A method of processing data comprising a plurality of related time series, comprising: searching a first one of the plurality of time series and a second one of the plurality of time series for data corresponding to a first relationship between the first one of the plurality of time series and the second one of the plurality of time series; identifying a first relational threshold breach if data corresponding to the first relationship exceeds a first threshold value; searching the first one of the plurality of time series and the second one of the plurality of time series for data corresponding to a second relationship between the first one of the plurality of time series and the second one of the plurality of time series, the second relationship being different than the first relationship; identifying a second relational threshold breach if data corresponding to the second relationship exceeds a second threshold value; and producing an output indicative of at least one of the first relational threshold breach and the second relational threshold breach. 30. The method of claim 29, wherein the output comprises an alarm. 31. The method of claim 29, wherein the first one of the plurality of time series comprises data corresponding to a physiologic parameter of a patient. 32. The method of claim 29, wherein the second one of the plurality of time series comprises data corresponding to a physiologic parameter of a patient. 33. The method of claim 29, wherein the first one of the plurality of time series corresponds to oxygen saturation. 34. The method of claim 29, wherein the second one of the plurality of time series corresponds to timed ventilation. 35. The method of claim 29, wherein the second one of the plurality of time series corresponds to a respiratory rate. 36. The method of claim 29, wherein the second one of the plurality of time series corresponds to a respiratory amplitude. 37. The method of claim 29, wherein the second one of the plurality of time series corresponds to a derivative of both a respiratory rate and a respiratory amplitude. 38. The method of claim 29, wherein the second one of the plurality of time series corresponds to a magnitude of timed ventilation. 39. The method of claim 29, wherein the first relationship comprises at least one pattern relationship. 40. The method of claim 39, wherein the pattern relationship comprises downward sloping oxygen saturation. 41. The method of claim 29, wherein the first relationship comprises at least one trending relationship. 42. The method of claim 29, wherein the first relationship comprises a fall in oxygen saturation coupled to a rise in respiration rate. 43. The method of claim 29, wherein the first relationship is a derivative of both a parameter rate and a parameter amplitude. 44. The method of claim 29, wherein the first relationship comprises an indication of ventilation by chest wall impedance.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (114)
Michael Berthon-Jones AU; Steven Paul Farrugia AU, Administration of CPAP treatment pressure in presence of APNEA.
Hickle, Randall S., Apparatus and method for providing a conscious patient relief from pain and anxiety associated with medical or surgical procedures.
Hickle, Randall S., Apparatus and method for providing a conscious patient relief from pain and anxiety associated with medical or surgical procedures.
Gruenke Roger A. ; Trimble Russell L. ; Lasnier Christopher D. ; Loethen Steven W. ; Orlt Jiri G. ; Snook James A. ; Wyble Marilyn S., Apparatus for compensating for flow and pressure variances in pneumatic circuits.
Sperinde Johnie M. (San Jose CA) Goldring Stanley D. (Cupertino CA) Miller Dean T. (Portola Valley CA), Apparatus for determining oxygen saturation levels in blood.
Dittmann, Ralf; Grunitz-Post, Swen; Leonhardt, Steffen; Gentilini, Andrea; Glattfelder, Adolph; Morari, Manfred; Schnider, Thomas; Zbinden, Alexander M, Arrangement and process for controlling a numerical value for patient respiration.
Remmers John Edward (Calgary CAX) Feroah Thomas Richard (Calgary CAX), Auto CPAP system and method for preventing patient disturbance using airflow profile information.
Miles Laughton E. (1335 Alma St. Palo Alto CA 94301), Cardio-respiratory control and monitoring system for determining CPAP pressure for apnea treatment.
Cotner Ronald L. (Derry NH) Parise Gerald J. (Bedford NH) Asacker Thomas E. (Exeter NH) Sadrnoori Bijan (N. Andover MA) Muller Robert A. (Manchester NH), Device and method for the treatment of sleep apnea syndrome.
Sullivan Colin E. (27 Wharf Road ; Birchgrove Sydney ; NSW 2041 AUX) Lynch Christopher (376 Lane Cove Road ; North Ryde Sydney ; NSW 2113 AUX), Device for monitoring breathing during sleep and control of CPAP treatment that is patient controlled.
Verrier Richard L. ; Hobson J. Allan ; Lovett Eric G. ; Pace-Schott Edward F., Home-based system and method for monitoring sleep state and assessing cardiorespiratory risk.
Gruenke Roger A. (Overland Park KS) Trimble Russell L. (Overland Park KS), Inspiratory airway pressure system using constant pressure and measuring flow signals to determine airway patency.
Gruenke Roger A. (Overland Park KS) Trimble Russell L. (Overland Park KS) Lasnier Christopher D. (Olathe KS) Loethen Steven W. (Independence MO) Orlt Jiri G. (Shawnee KS) Snook James A. (Overland Par, Inspiratory airway pressure system with admittance determining apparatus and method.
Testerman Roy L. (New Hope MN) Erickson Donald J. (Plymouth MN) Bierbaum Ralph W. (Coon Rapids MN), Method and apparatus for detecting and treating obstructive sleep apnea.
Craig ; Jr. Kenneth C. (Bellevue WA) Gauglitz Karl F. (Kirkland WA) Losh G. Michael (Mercer Island WA) Mason Lee R. (Issaquah WA) Nova Richard C. (Kirkland WA) Taylor James W. (Bothell WA) Prosser St, Method and apparatus for indicating perfusion and oxygen saturation trends in oximetry.
David M. Rapoport ; Robert G. Norman, Method and apparatus for optimizing the continuous positive airway pressure for treating obstructive sleep apnea.
Rapoport David M. (New York NY) Norman Robert G. (New Windsor NY), Method and apparatus for optimizing the continuous positive airway pressure for treating obstructive sleep apnea.
Rapoport David M. (New York NY) Norman Robert G. (New Windsor NY) Gruenke Roger A. (Overland Park KS), Method and apparatus for optimizing the continuous positive airway pressure for treating obstructive sleep apnea.
Rapoport David M. ; Norman Robert G., Method and apparatus for optimizing the continuous positive airway pressure for treating obstructive sleep apnea.
Rapoport David M. ; Norman Robert G. ; Gruenke Roger A., Method and apparatus for optimizing the continuous positive airway pressure for treating obstructive sleep apnea.
Testerman Roy L. (New Hope MN) Erickson Donald J. (Plymouth MN), Method and apparatus for providing a respiratory effort waveform for the treatment of obstructive sleep apnea.
Estes, Mark C.; Fiore, John; Mechlenburg, Douglas M.; Ressler, Heather; Kepler, Jeff, Method and apparatus for providing positive airway pressure to a patient.
Lynn Lawrence A. (1275 Olentangy River Rd. #233 Columbus OH 43212), Method and apparatus for the diagnosis of sleep apnea utilizing a single interface with a human body part.
Clemmer Terry P. ; East ; IV Thomas D. ; Morris Alan H. ; Orme ; Jr. James F. ; Thomsen George E. ; Wallace C. Jane ; Weaver Lindell K. ; Suchyta Mary R., Method and system for patient monitoring and respiratory assistance control through mechanical ventilation by the use of deterministic protocols.
Edgar, Jr., Reuben W.; Allo, Jr., August J.; Gunneson, Paul B.; Martin, Jesus D.; DelFavero, John R.; Jaffe, Michael B., Method, apparatus and system for removing motion artifacts from measurements of bodily parameters.
Hatke Fred L. (Skillman NJ) Kolarovic Ronald S. (Palmyra NJ) Stubbs Reagh A. (Rogers AR) Wise James A. (Holland PA), Neonatal cardiorespirograph incorporating multi-variable display and memory.
Hauck John A. (Shoreview MN) Olive Arthur L. (Stacy MN), Rate adaptive cardiac rhythm management device control algorithm using trans-thoracic ventilation.
Jesse W. Hartley ; Marc H. Cohen ; Nicholas J. Stessman ; Scott A. Reedstrom ; Steven D. Check ; James P. Nelson, Rate adaptive cardiac rhythm management device using transthoracic impedance.
Chen, Bo; Mestek, Michael L.; Kadlec, Ron J.; Maharajh, Niranjan; Kolnsberg, Mark E.; Johnson, Corinne H.; Ochs, James P.; Addison, Paul Stanley; Watson, James N., Apnea analysis system and method.
Lynn, Lawrence A.; Lynn, Eric N., Centralized hospital monitoring system for automatically detecting upper airway instability and for preventing and aborting adverse drug reactions.
Baker, Jr., Clark R.; O'Neil, Michael P.; Campbell, Shannon E.; Hausmann, Gilbert, Method and system for classification of photo-plethysmographically detected respiratory effort.
Baker, Jr., Clark R.; O'Neil, Michael; Campbell, Shannon; Hausmann, Gilbert, Method and system for classification of photo-plethysmographically detected respiratory effort.
Gopalakrishnan, Ravi; Korzinov, Lev; Wang, Fei; Thomson, Euan; Srivastava, Nupur; Dawood, Omar; Abuzeid, Iman; Albert, David E, Methods and systems for arrhythmia tracking and scoring.
Gopalakrishnan, Ravi; Korzinov, Lev; Wang, Fei; Thomson, Euan; Srivastava, Nupur; Dawood, Omar; Abuzeid, Iman; Albert, David E, Methods and systems for arrhythmia tracking and scoring.
Gopalakrishnan, Ravi; Korzinov, Lev; Wang, Fei; Thomson, Euan; Srivastava, Nupur; Dawood, Omar; Abuzeid, Iman; Albert, David E., Methods and systems for arrhythmia tracking and scoring.
Jafari, Mehdi M.; Jimenez, Rhomere S.; Aviano, Jeffrey K.; Upham, Gail F., System and method for determining ventilator leakage during stable periods within a breath.
Lynn, Lawrence A.; Hunt, Michael; Karasinir, Cihan; Lynn, Eric N.; Podorozhansky, Andrey, System for converting biologic particle density data into dynamic images.
McGonigle, Scott; Addison, Paul S.; Ochs, James; Watson, James, Systems and methods for determining respiration information from a photoplethysmograph.
Ochs, James; Watson, James; Weng, Binwel; Addison, Paul S.; McGonigle, Scott, Systems and methods for determining respiration information from a photoplethysmograph.
Van Slyke, Braddon M.; Kadlec, Ronald; McGonigle, Scott, Systems and methods for determining respiration information from a physiological signal using amplitude demodulation.
Baker, Jr., Clark R.; Ochs, James; Dripps, James H.; Addison, Paul S., Systems and methods for determining respiration information using historical distribution.
Van Slyke, Braddon M.; Kadlec, Ronald; McGonigle, Scott; Mestek, Michael; Addison, Paul Stanley; Watson, James Nicholas, Systems and methods for generating an artificial photoplethysmograph signal.
Ochs, James; McGonigle, Scott; Addison, Paul; Watson, James, Systems and methods for identifying portions of a physiological signal usable for determining physiological information.
Angelico, Phyllis; Doyle, Peter R.; Kimm, Gardner; Milne, Gary, Ventilator-initiated prompt or setting regarding detection of asynchrony during ventilation.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.