최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0479249 (2009-06-05) |
등록번호 | US-8485184 (2013-07-16) |
발명자 / 주소 |
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출원인 / 주소 |
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인용정보 | 피인용 횟수 : 2 인용 특허 : 436 |
Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a graphical display, a processor and a computer readable medium. The computer readable medium is communicably coupled to the pro
Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a graphical display, a processor and a computer readable medium. The computer readable medium is communicably coupled to the processor and includes instructions executable by the processor to receive a measured pressure value, and receive a net flow value. The instructions are further executable to calculate a patient effort value based on a relationship between patient effort, the measured pressure value and the net flow value; and to plot the patient effort value to the graphical display.
1. A ventilation system, the ventilation system comprising: a graphical display;a processor communicably coupled to a computer readable medium, wherein the computer readable medium includes instructions executable by the processor to:receive a measured pressure value;receive a net flow value;calcula
1. A ventilation system, the ventilation system comprising: a graphical display;a processor communicably coupled to a computer readable medium, wherein the computer readable medium includes instructions executable by the processor to:receive a measured pressure value;receive a net flow value;calculate a patient effort value based on a relationship between the measured pressure value, the net flow value, and an estimated normalized prediction error, wherein the estimated normalized prediction error is based at least in part on a current estimated value of a parameter vector; andplot the patient effort value to the graphical display. 2. The system of claim 1, wherein the patient effort value is an estimate of actual patient effort. 3. The system of claim 1, wherein the patient effort value is a first derivative of the actual patient effort. 4. The system of claim 1, wherein the patient effort value is a filtered patient effort. 5. The system of claim 1, wherein the instructions are further executable by the processor to: calculate a mean time between breaths based on the patient effort value; anddisplay the mean time between breaths to the graphical display. 6. The system of claim 1, wherein the instructions are further executable by the processor to: identify a peak breathing effort based on the patient effort value; anddisplay the peak breathing effort to the graphical display. 7. The system of claim 1, wherein the instructions are further executable by the processor to: identify a peak effort for a particular breath based on one or more patient effort values calculated during the particular breath; anddisplay the peak effort for the particular breath to the graphical display. 8. The system of claim 1, wherein the instructions are further executable by the processor to: calculate a duration of last inspiration based on the patient effort value; anddisplay the duration of last inspiration to the graphical display. 9. The system of claim 1, wherein the instructions are further executable by the processor to: calculate a duration of last expiration based on the patient effort value; anddisplay the duration of last expiration to the graphical display. 10. The ventilation system of claim 1, wherein the patient effort value is further based on a combination of one or more intermediate values calculated using the measured pressure value and the net flow value, the one or more intermediate values selected from: a filtered pressure value and a regression vector. 11. The ventilation system of claim 1, wherein the relationship is a parameterized system input to output relationship. 12. The method of claim 11, wherein the parameterized system input to output relationship is the regression form: z=Θφ+φd, wherein z is a filtered pressure value, Θ is a current estimated value of a parameter vector, φ is at least apart of regression vector, and φd is a filtered patient effort. 13. The method of claim 11, wherein the parameterized system input to output relationship is derived from a transfer function. 14. The ventilation system of claim 13, wherein the transfer function is derived from the model: [p.Yp.L]=[-1CTRP1CTRP1CLRP-1CLRP][pYpL]+ [1CT1CT-1CT000][qAIRqO2qE]+[0-1CT010-1CT][p.PqTleakqPleak]wherein py is a value for a wye gas pressure, pL is a value of a pressure in a patient's lungs, {dot over (p)}y is a value for a first derivative of a wye gas pressure, {dot over (p)}L is a value for a first derivative of pressure in the patient's lungs, CT is a value for a tubing compliance, CL, is a value for a lung compliance, RP is a value for a patient resistance, qair is a value for an inlet flow of air, q02 is a value for an inlet flow of oxygen, qE is a value for an outlet gas flow, qTleak is a value for gas flow associated with tubing leakage, qPleak is a value for gas flow associated with leakage in the patient, and {dot over (p)}P is a value for the derivative of patient effort. 15. A method for providing graphical respiratory feedback, the method comprising: providing a graphical display;measuring a pressure and providing a measured pressure;measuring an inlet flow and an outlet flow, and providing a measured net flow;using a relationship between a first value related to the measured pressure, a second value related to the measured net flow and an estimated normalized prediction error, wherein the estimated normalized prediction error is based at least in part on a current estimated value of a parameter vector, to calculate an estimate of patient effort from the measured pressure and measured net flow; andrepeatedly displaying the estimate of patient effort as a function of time via the graphical display. 16. The method of claim 15, wherein the estimate of patient effort is an estimate of actual patient effort for an associated time instant. 17. The method of claim 15, wherein the estimate of patient effort is an estimate of a first derivative of the actual patient effort for an associated time instant. 18. The method of claim 15, wherein the estimate of patient effort is a filtered actual patient effort. 19. The method of claim 15, wherein the method further comprises: calculating various ventilation characteristics based on the estimate of patient effort, wherein the various ventilation characteristics are selected from: a mean time between breaths, a peak breathing effort, a peak effort for a particular breath, a duration of last inspiration, a duration of last expiration, an average duration of inspiration, and an average duration of expiration. 20. The method of claim 15, wherein the method further comprises: graphically displaying various ventilation characteristics based on the estimate of patient effort, wherein the various ventilation characteristics are selected from: a mean time between breaths, a peak breathing effort, a peak effort for a particular breath, a duration of last inspiration, a duration of last expiration, an average duration of inspiration, and an average duration of expiration. 21. The method of claim 15, wherein the relationship is defined by a parameterized system input to output relationship in the regression form z=ΘTφ+φd, and wherein the input to output relationship is derived from a transfer function, wherein z is a filtered pressure value, Θ is a current estimated value of a parameter vector, φ is at least a part of regression vector, and φd is a filtered patient effort. 22. The method of claim 21 wherein the transfer function is derived from a model: [p.Yp.L]=[-1CTRP1CTRP1CLRP-1CLRP][pYpL]+ [1CT1CT-1CT000][qAIRqO2qE]+[0-1CT010-1CT][p.PqTleakqPleak]wherein py is a value for a wye gas pressure, pL is a value of a pressure in a patient's lungs, {dot over (p)}y is a value for a first derivative of a wye gas pressure, {dot over (p)}L is a value for a first derivative of pressure in the patient's lungs, CT is a value for a tubing compliance, CL is a value for a lung compliance, RP is a value for a patient resistance, qair is a value for an inlet flow of air, q02 is a value for an inlet flow of oxygen, qE is a value for an outlet gas flow, qTleak is a value for gas flow associated with tubing leakage, qPleak is a value for gas flow associated with leakage in the patient, and {dot over (p)}P is a value for the derivative of patient effort. 23. A ventilation system, the ventilation system comprising: a gas inlet;a gas outlet;a tube coupling the gas inlet and the gas outlet;a pressure sensor, wherein the pressure sensor is operable to provide a measured pressure value indicating a pressure in the tube;a first flow sensor, wherein the first flow sensor is operable to provide an inlet flow value indicating a flow associated with the gas inlet;a second flow sensor, wherein the second flow sensor is operable to provide an outlet flow value indicating a flow associated with the gas outlet;a graphical display; anda processor communicably coupled to a computer readable medium, wherein the computer readable medium includes instructions executable by the processor to: receive a measured pressure value;receive a net flow value;calculate a patient effort value based on a relationship between patient effort, an estimated normalized prediction error, wherein the estimated normalized prediction error is based at least in part on a current estimated value of a parameter vector, the measured pressure value, and the net flow value;calculate a gas delivery metric that varies as a first function of the patient effort value;determine an inhalation phase based on the patient effort value; andplot the patient effort value to the graphical display.
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