Compensating for disruptions in breathing gas flow measurement
The present disclosure generally relates to systems and methods for delivery of therapeutic gas to patients, using techniques to compensate for disruptions in breathing gas flow measurement, such as when breathing gas flow measurement is unavailable or unreliable. Such techniques include using historical breathing gas flow rate data, such as moving average flow rates, moving median flow rates and/or flow waveforms. At least some of these techniques can be used to ensure that interruption in therapeutic gas delivery is minimized or eliminated.
1. A nitric oxide gas delivery apparatus for use with a ventilator, the apparatus comprising:
an injector module operable to be placed in fluid communication with a breathing circuit affiliated with the ventilator, the injector module comprising:
a breathing gas flow inlet;
a nitric oxide (NO) flow inlet; and
a combined breathing gas and NO flow outlet operable to provide a combined flow of breathing gas and NO to a patient, in need thereof;
a breathing gas flow sensor configured to sense breathing gas flow rate;
one or more NO flow sensors operable to measure the flow of NO; and
a controller comprising:
a memory operable to track and store historical NO flow rate data by the one or more NO flow sensors; and
a processor operable to calculate a historical average NO flow rate from the historical NO flow rate data in a first mode and detect a disruption of breathing gas flow rate data from the breathing gas flow sensor,
wherein upon detection of the disruption in breathing gas flow rate data, the controller operates in a backup mode to control a delivery flow rate of the NO based on the historical average NO flow rate.
2. The apparatus of claim 1 , wherein the controller operating in backup mode controls the delivery flow rate of the NO at the historical average NO flow rate.
3. The apparatus of claim 1 , wherein the historical average NO flow rate is referenced to calculate a desired NO flow rate for a new set dose of NO.
4. The apparatus of claim 1 , further comprising a user input, wherein when the controller is operating in backup mode, a record in the memory from the user input controls the delivery flow rate of the NO.
5. The apparatus of claim 1 , further comprising a display, wherein when the controller is operating in the backup mode, the historical average NO flow rate is displayed on the display.
6. The apparatus of claim 1 , further comprising a control valve operable to regulate flow of the NO through a conduit to the injector module.
7. The apparatus of claim 6 , wherein the one or more NO flow sensors are located upstream from the control valve and/or the conduit, and wherein the one or more NO flow sensors are operable to measure the flow of NO through the NO flow inlet into the injector module.
8. The apparatus of claim 6 , wherein the one or more NO flow sensors are located downstream from the control valve and/or the conduit, and wherein the one or more NO flow sensors are operable to measure the flow of NO through the NO flow inlet into the injector module.
9. The apparatus of claim 1 , wherein the controller is operable to automatically return to the first mode upon detection that the disruption has ended and/or that the breathing gas flow sensor has been at least one of reconnected, replaced, and/or serviced.
10. The apparatus of claim 1 , wherein the controller is configured to automatically resume delivery of a flow of NO based on the first mode, upon detection and/or input that the breathing gas flow sensor has been at least one of reconnected, replaced, and/or serviced.
11. The apparatus of claim 1 , wherein the historical NO flow rate data is stored over a period in the range from 10 seconds to 5 minutes.
12. The apparatus of claim 1 , wherein the sensed breathing gas flow rate data is received from the injector module and/or the ventilator.
13. The apparatus of claim 1 , wherein the sensed breathing gas flow rate data comprises first breathing gas flow rate data and second breathing gas flow rate data, and wherein the first breathing gas flow rate data is received from the injector module and/or the second breathing gas flow rate data is received from the ventilator.
14. The apparatus of claim 13 , wherein the controller compares respective flow rate data from the first breathing gas flow rate data with the second breathing gas flow rate data.
15. The apparatus of claim 1 , wherein the controller is further operable to utilize at least one of data smoothing and/or low-pass filtering to remove outlying stored flow data points.
16. A method for delivery of nitric oxide (NO) gas to a patient, the method comprising:
controlling, via a controller, a NO flow to a patient in a first mode;
receiving, via a breathing gas sensor, sensed flow rate of breathing gas flow;
receiving, via one or more NO flow sensors, measured flow rate of NO flow;
storing in a memory historical NO flow rate data related to the received NO flow rate by the one or more NO sensors;
calculating, via a processor, a historical average NO flow rate from the historical NO flow rate data in the first mode;
detecting a disruption of the sensed breathing gas flow rate data from the breathing gas sensor; and
controlling, via the controller, the NO flow in a backup mode instead of the first mode, based on the historical average NO flow rate.
17. The method of claim 16 , further comprising displaying the historical average NO flow rate on a display when the controller is operating in the backup mode.
18. The method of claim 16 , wherein when the controller is operating in backup mode, a record in the memory from a user input controls the flow rate of the NO.
19. The method of claim 16 , wherein storing the historical NO flow rate data includes storing the historical NO flow rate data over a period in the range from 10 seconds to 5 minutes.
20. The method of claim 16 , further comprising:
returning to the first mode when a discontinuance of the disruption is detected.
21. The method of claim 20 , wherein:
receiving the received breathing gas flow rate data includes receiving a first breathing gas flow rate data and a second breathing gas flow rate data, and
detecting the disruption includes detecting the disruption by comparing respective flow rate data between the first and second breathing gas flow rate data.