초록 ▼

An apnea/hypopnea detection system and method that monitors a patient's respiratory flow, determines (a) a long term RMS energy based on the flow, (b) a long term threshold determined based on the long term RMS energy, and (c) a short term RMS energy based on the flow. Determining whether the patie

An apnea/hypopnea detection system and method that monitors a patient's respiratory flow, determines (a) a long term RMS energy based on the flow, (b) a long term threshold determined based on the long term RMS energy, and (c) a short term RMS energy based on the flow. Determining whether the patient is experiencing an apnea/hypopnea is accomplished by comparing the short term RMS energy with the long term threshold. This A/H detection technique is useful in diagnosing a patient for a breathing disorder, such as OSA, and/or for controlling an auto-titration pressure support system.

대표청구항 ▼

What is claimed is: 1. An apnea/hypopnea detection system comprising: a flow sensor adapted to detect patient respiratory flow; and processing means for: (1) determining (a) a long term RMS energy based on the flow, (b) a long term threshold determined based on the long term RMS energy, and (c) a s

What is claimed is: 1. An apnea/hypopnea detection system comprising: a flow sensor adapted to detect patient respiratory flow; and processing means for: (1) determining (a) a long term RMS energy based on the flow, (b) a long term threshold determined based on the long term RMS energy, and (c) a short term RMS energy based on the flow, (2) determining whether a patient is experiencing an apnea/hypopnea event by comparing the short term RMS energy with the long term threshold, (3) calculating (a) a short term integral of the patient flow, (b) a long term integral of the patient flow, and (c) an absolute difference therebetween, and (4) determining whether a patient is experiencing an apnea/hypopnea event that includes comparing the absolute difference to a differential threshold. 2. The system of claim 1, wherein determining the long term threshold includes multiplying the long term RMS energy by an entry threshold fraction. 3. The system of claim 1, wherein determining whether a patient is experiencing an apnea/hypopnea event includes determining whether the short term RMS energy falls below the long term threshold. 4. The system of claim 1, wherein the differential threshold is an empirically determined value. 5. The system of claim 1, wherein the processing means the short term RMS energy, SRMS(n), as: where NS=TS-f, Q(n) is the patient flow, n is processing cycle, f is the sampling frequency, and TS is a period of time over which the short term RMS values is calculated. 6. The system of claim 1, wherein the processing means the long term RMS energy LRMS(n) as: where NL=TS-f, Q(n) is the patient flow, n is processing cycle, f is the sampling frequency, and TL is a period of time over which the long term RMS values is calculated. 7. The system of claim 1, wherein the long term integral energy LI(n) is determined as: where NL=TS-f, Q(n) is the patient flow, n is processing cycle, f is the sampling frequency, and TL is a period of time over which the long term RMS values is calculated. 8. The system of claim 1, wherein the short term integral energy SI(n) is determined as: where NS=TS-f, Q(n) is the patient flow, n is processing cycle, f is the sampling frequency, and TS is a period of time over which the short term RMS values is calculated. 9. The system of claim 1, further comprising a conduit coupled to an airway of such a patient, and wherein the flow sensor is coupled to the conduit. 10. The system of claim 1, further comprising a pressure generating system adapted to generate a flow of gas, and wherein the processing means controls a pressure of a flow of gas output of the pressure generating system based on whether such a patient is experiencing the apnea/hypopnea event. 11. An apnea/hypopnea detection system comprising: a flow sensor adapted to detect patient respiratory flow; and processing means for (1) determining (a) a long term RMS energy based on the flow, (b) a long term threshold determined based on the long term RMS energy, and (c) a short term RMS energy based on the flow, (2) determining whether a patient is experiencing an apnea/hypopnea event by comparing the short term RMS energy with the long term threshold, and (3) determining whether such a patient has ceased experiencing an apnea/hypopnea event that includes calculating an exit threshold that is different from the long term threshold, and comparing the short term RMS energy with the exit threshold. 12. The system of claim 11, wherein the processing means determines the exit threshold based on the long term threshold. 13. A method of detecting an apnea/hypopnea comprising: monitoring a patient's respiratory flow; determining a long term RMS energy based on the flow; determining a long term threshold based on the long term RMS energy; determining a short term RMS energy based on the flow; comparing the short term RMS energy with the long term threshold to determine whether such a patient is experiencing an apnea/hypopnea; determining a short term integral of the respiratory flow; determining a long term integral of the respiratory flow; and determines an absolute difference between the short term integral of respiratory flow and the long term integral of respiratory flow; and wherein determining whether a patient is experiencing an apnea/hypopnea event includes comparing the absolute difference to a differential threshold. 14. The method of claim 13, wherein determining the long term threshold includes multiplying the long term RMS energy by an entry threshold fraction. 15. The method of claim 13, wherein determining whether a patient is experiencing an apnea/hypopnea event includes determining whether the short term RMS energy falls below the long term threshold. 16. The method of claim 13, wherein the short term RMS energy SRMS(n) is determined as: where NS=TS-f, Q(n) is the patient flow, n is processing cycle, f is the sampling frequency, and TS is a period of time over which the short term RMS values is calculated. 17. The method of claim 13, wherein the long term RMS energy LRMS(n) is determined as: where NL=TS-f, Q(n) is the patient flow, n is processing cycle, f is the sampling frequency, and TL is a period of time over which the long term RMS values is calculated. 18. The method of claim 13, wherein the long term integral energy LI(n) is determined as: where NL=TS-f, Q(n) is the patient flow, n is processing cycle, f is the sampling frequency, and TL is a period of time over which the long term RMS values is calculated. 19. The method of claim 13, wherein the short term integral energy SI(n) is determined as: where NS=TS-f, Q(n) is the patient flow, n is processing cycle, f is the sampling frequency, and TS is a period of time over which the short term RMS values is calculated. 20. The method of claim 13, wherein monitoring a patient's respiratory flow comprises: providing a conduit coupled to an airway of such a patient; and providing a flow sensor is coupled to the conduit. 21. The method of claim 13, further comprising: providing a pressure generating system adapted to generate a flow of gas; and controlling a pressure of a flow of gas output of the pressure generating system based on whether such a patient is experiencing the apnea/hypopnea event. 22. A method of detecting an apnea/hypopnea comprising: monitoring a patient's respiratory flow; determining a long term RMS energy based on the flow; determining a long term threshold based on the long term RMS energy; determining a short term RMS energy based on the flow; comparing the short term RMS energy with the long term threshold to determine whether such a patient is experiencing an apnea/hypopnea; and determining whether such a patient has ceased experiencing an apnea/hypopnea event, wherein determining whether such a patient has ceased experiencing an apnea/hypopnea event comprises calculating an exit threshold and comparing the short term RMS energy with the exit threshold. 23. The method of claim 22, wherein the exit threshold is determined based on the long term threshold.