Non-cerebral organ autoregulation status determination
A system for monitoring autoregulation may include processing circuitry configured to receive a blood pressure signal indicative of an acquisition blood pressure of a patient at an acquisition site and an oxygen saturation signal indicative of an oxygen saturation of the patient. The processing circuitry may determine a cerebral autoregulation status value based on the blood pressure signal and the oxygen saturation signal. The processing circuitry may determine a non-cerebral autoregulation status value based on the cerebral autoregulation status value and an adjustment value. The processing circuitry provide to an output device a signal indicative of the non-cerebral autoregulation status value and a signal indicative of the cerebral autoregulation status value to enable a clinician to monitor the autoregulation status of the patient.
1. A method comprising:
receiving, by processing circuitry, a blood pressure signal indicative of a blood pressure of a patient and an oxygen saturation signal indicative of an oxygen saturation of the patient;
determining, by the processing circuitry, a cerebral autoregulation status value based on the blood pressure signal and the oxygen saturation signal;
determining, by the processing circuitry, an adjustment value based on a relationship between the cerebral autoregulation status value and a non-cerebral autoregulation status value using a neural network algorithm comprising a plurality of nodes by:
inputting at least the cerebral autoregulation status value into the neural network algorithm;
iteratively evaluating an output of the neural network algorithm, wherein the output comprises a non-cerebral autoregulation status value estimate;
iteratively modifying at least one node parameter of the plurality of nodes based on the evaluation of the output of the neural network algorithm to generate a modified neural network algorithm; and
determining the adjustment value based on the modified neural network algorithm;
determining, by the processing circuitry, the non-cerebral autoregulation status value of the patient based on the cerebral autoregulation status value and the adjustment value; and
providing, by the processing circuitry and to an output device, a signal indicative of the non-cerebral autoregulation status value.
2. The method of claim 1 , further comprising determining, by the processing circuitry, a range of adjustment values using a machine learning algorithm or a deep learning algorithm, wherein the range of adjustment values comprises the adjustment value.
3. The method of claim 1 , further comprising determining, by the processing circuitry, the adjustment value based on patient-specific data, the patient-specific data including one or more respective cerebral autoregulation status values and one or more respective non-cerebral autoregulation status values.
4. The method of claim 1 , further comprising determining, by the processing circuitry, the adjustment value based on predetermined associations between cerebral autoregulation status values of a population of patients and non-cerebral autoregulation status values of the population of patients.
5. The method of claim 1 , further comprising determining, by the processing circuitry, an additional adjustment value by at least determining a relationship between the cerebral autoregulation status value and an additional non-cerebral autoregulation status value using a finite element model based on a plurality of finite elements configured to model an association between the cerebral autoregulation status value and the additional non-cerebral autoregulation status value.
6. The method of claim 1 , wherein the adjustment value comprises an offset or a multiplier.
7. The method of claim 1 , further comprising presenting, via a display of the output device, a user interface indicating the non-cerebral autoregulation status value.
8. The method of claim 1 , further comprising presenting, via a display of the output device, a cerebral lower limit of autoregulation (LLA) and a range of adjustment values above the LLA indicative of a range of non-cerebral autoregulation status values determined based on the adjustment value.
9. The method of claim 1 , wherein the non-cerebral autoregulation status value comprises at least one of a lower limit of autoregulation or an upper limit of autoregulation, and wherein the cerebral autoregulation status value comprises at least one of a lower limit of cerebral autoregulation or an upper limit of cerebral autoregulation.
10. The method of claim 1 , wherein the non-cerebral autoregulation status value comprises a kidney autoregulation status value.
11. The method of claim 1 , further comprising:
determining, by the processing circuitry, an autoregulation state of a non-cerebral organ of the patient based on the non-cerebral autoregulation status value; and
presenting, via a display of the output device, an indication of the autoregulation state of the non-cerebral organ.
12. A system comprising:
a blood pressure sensor configured to generate a blood pressure signal indicative of a blood pressure of a patient;
an oxygen saturation sensor configured to generate an oxygen saturation signal indicative of an oxygen saturation of the patient; and
processing circuitry configured to:
receive the blood pressure signal from the blood pressure sensor,
receive the oxygen saturation signal from the oxygen saturation sensor,
determine a cerebral autoregulation status value based on the blood pressure signal and the oxygen saturation signal,
determine an adjustment value based on a relationship between the cerebral autoregulation status value and a non-cerebral autoregulation status value using a neural network algorithm comprising a plurality of nodes by:
inputting at least the cerebral autoregulation status value into the neural network algorithm;
iteratively evaluating an output of the neural network algorithm, wherein the output comprises a non-cerebral autoregulation status value estimate;
iteratively modifying at least one node parameter of the plurality of nodes based on the evaluation of the output of the neural network algorithm to generating a modified neural network algorithm; and
determining the adjustment value based on the modified neural network algorithm;
determine the non-cerebral autoregulation status value based on the cerebral autoregulation status value and the adjustment value, and
provide to an output device a signal indicative of the non-cerebral autoregulation status value.
13. The system of claim 12 , wherein the processing circuitry is configured to determine an additional adjustment value based on a relationship between the cerebral autoregulation status value and an additional non-cerebral autoregulation status value.
14. The system of claim 13 , wherein the non-cerebral autoregulation status value comprises a kidney autoregulation status value and the additional non-cerebral autoregulation status value comprises a gastrointestinal autoregulation status value.
15. The system of claim 12 , wherein the processing circuitry is configured to determine the adjustment value based on patient-specific data, the patient-specific data including one or more respective cerebral autoregulation status values and one or more respective non-cerebral autoregulation status values.
16. The system of claim 12 , wherein the processing circuitry is configured to determine the adjustment value based on predetermined associations between cerebral autoregulation status values of a population of patients and non-cerebral autoregulation status values of the population of patients.
17. The system of claim 12 , wherein the processing circuitry is configured to determine an additional adjustment value using a finite element model based on a plurality of finite elements configured to model an association between the cerebral autoregulation status value and an additional non-cerebral autoregulation status value.
18. The system of claim 12 , wherein the adjustment value comprises an offset or a multiplier.
19. The system of claim 12 , further comprising the output device comprising a display, wherein the processing circuitry is configured to present, via the display, a user interface indicating the non-cerebral autoregulation status value.
20. The system of claim 12 , further comprising the output device comprising a display, wherein the processing circuitry is configured to present, via the display, a cerebral lower limit of autoregulation (LLA) and a range of adjustment values above the LLA indicative of a range of non-cerebral autoregulation status values determined based on the adjustment value.
21. The system of claim 12 , wherein the non-cerebral autoregulation status value comprises at least one of a lower limit of autoregulation or an upper limit of autoregulation, and wherein the cerebral autoregulation status value comprises at least one of a lower limit of cerebral autoregulation or an upper limit of cerebral autoregulation.
22. The system of claim 12 , wherein the non-cerebral autoregulation status value comprises a range of non-cerebral autoregulation status values.
23. The system of claim 12 , wherein the non-cerebral autoregulation status value comprises a kidney autoregulation status value.
24. The system of claim 12 , further comprising the output device comprising a display, wherein the processing circuitry is further configured to:
determine an autoregulation state of a non-cerebral organ of the patient based on the non-cerebral autoregulation status value, and
presenting, via the display, an indication of the autoregulation state of the non-cerebral organ.
25. The system of claim 12 , wherein the processing circuitry is configured to determine a first range of non-cerebral autoregulation status values for a kidney and a second range of non-cerebral autoregulation status values for a gastrointestinal tract, and at least one of the first range of non-cerebral autoregulation status values or the second range of non-cerebral autoregulation status values comprise the non-cerebral autoregulation status value.
26. The system of claim 25 , wherein the processing circuitry is configured to generate a graph comprising a first region corresponding to the first range of non-cerebral autoregulation status values and a second region corresponding to the second range of non-cerebral autoregulation status values.
27. The system of claim 26 , wherein the processing circuitry is configured to overlay the blood pressure signal on the graph.
28. A system comprising:
a display;
a blood pressure sensor configured to generate a blood pressure signal indicative of a blood pressure of a patient;
an oxygen saturation sensor configured to generate an oxygen saturation signal indicative of an oxygen saturation of the patient; and
processing circuitry configured to:
receive the blood pressure signal from the blood pressure sensor,
receive the oxygen saturation signal from the oxygen saturation sensor,
determine a cerebral autoregulation status value based on the blood pressure signal and the oxygen saturation signal,
determine an adjustment value based on a relationship between the cerebral autoregulation status value and a non-cerebral autoregulation status value using a neural network algorithm comprising a plurality of nodes by:
inputting the cerebral autoregulation status value into the neural network algorithm;
iteratively evaluating an output of the neural network algorithm, wherein the output comprises a non-cerebral autoregulation status value estimate;
iteratively modifying at least one node parameter of the plurality of nodes based on the evaluation of the output of the neural network algorithm to generate a modified neural network algorithm; and
determining the adjustment value based on the modified neural network algorithm;
determine an autoregulation state of a non-cerebral organ of the patient based on the cerebral autoregulation status value and the adjustment value, and
present, via the display, an indication of the autoregulation state of the non-cerebral organ.
29. The system of claim 28 , wherein the non-cerebral organ is a kidney.
30. The system of claim 28 , wherein the indication of the autoregulation state comprises an indication of an impaired autoregulation state of the non-cerebral organ.
31. The system of claim 28 , wherein the processing circuitry is configured to generate a graph comprising a plurality of colors indicative of the autoregulation state of the non-cerebral organ.