System and method for managing nocturnal treatment

Patent metadata

Field	Value
Publication number	US-10952666-B2
Application number	US-201615191945-A
Country	US
Kind code	B2
Filing date	Jun 24, 2016
Priority date	Jun 24, 2016
Publication date	Mar 23, 2021
Grant date	Mar 23, 2021

Abstract

Treatment controllers and methods are provided that can be integrated with treatment systems, such as peritoneal dialysis systems, hemodialysis systems, and nocturnal treatment systems, to manage execution of treatment operations or a course of treatment based on timing information and/or patient sleep state.

First claim

What is claimed is:

1. A dialysis treatment system comprising:
at least one fluid conduit;
at least one mechanical component coupled to the at least one fluid conduit; and
a treatment controller configured to control operation of the at least one mechanical component to manage passage of a fluid through the at least one fluid conduit for a patient, wherein the treatment controller includes:
a sleep state component configured to obtain current sleep state data for the patient; and
an execution component configured to limit a loud operation of at least the at least one mechanical component at least by:
based at least on the current sleep state data for the patient, projecting a future deep sleep state for the patient, and
initiating a dialysis treatment during a sleep state of the patient that precedes the future deep sleep state, such that the loud operation of the at least one mechanical component during the dialysis treatment is expected to occur at a time during the future deep sleep state.

2. The system of claim 1 , wherein the dialysis treatment system is a peritoneal dialysis treatment system, wherein the fluid is a dialysate, and wherein the treatment controller is configured to manage passage of dialysate for the patient at a peritoneal cavity of the patient.

3. The system of claim 1 , wherein the dialysis treatment system is a hemodialysis treatment system, wherein the fluid is clean blood, and wherein the treatment controller is configured to manage delivery of the clean blood to the patient or dialysate to a dialyzer.

4. The system of claim 1 , wherein the sleep state component is configured to obtain the current sleep state data for the patient at least by receiving physiologic data from one or more sensors.

5. The system of claim 1 , further comprising a pressure sensor configured to monitor a pressure of the fluid, wherein the sleep state component is configured to determine at least one of a determined heart rate or a determined respiration rate responsive to analyzing pressure data provided by the pressure sensor.

6. The system of claim 5 , wherein the sleep state component is configured to determine the determined heart rate or the determined respiration rate responsive to identifying fluctuations in pressure data provided by the pressure sensor.

7. The system of claim 5 , wherein the sleep state component is configured to correlate the determined heart rate or the determined respiration rate to a sleep state stage of the patient.

8. The system of claim 1 , wherein the treatment controller is configured to project a course of the dialysis treatment to determine a timing for the loud operation of the at least one mechanical component, based at least on the loud operation of the at least one mechanical component being above a predefined noise threshold.

9. The system of claim 1 , further comprising a database and data records defining expected noise levels associated with each dialysis treatment operation performed by the dialysis treatment system.

10. The system of claim 1 , further comprising an audio sensor to detect noise levels, wherein the treatment controller is configured to:
monitor the noise levels; and
manage treatment execution responsive to the noise levels.

11. The system of claim 10 , wherein the treatment controller stores noise levels associated with respective treatment operations in a database.

12. The system of claim 11 , wherein the treatment controller is further configured to compare detected noise levels to stored noise levels in the database, and based on the comparison, detect a failure in the at least one mechanical component.

13. The system of claim 1 , wherein the sleep state component is configured to store historical sleep state data for the patient.

14. The system of claim 13 , wherein projecting the future deep sleep state for the patient is further based on analyzing the historical sleep state data for the patient.

15. The system of claim 1 , wherein the execution component is configured to estimate a plurality of times associated with a plurality of treatment operations over a course of dialysis treatment.

16. The system of claim 1 , further comprising a timer component configured to accept user input of timing information.

17. The system of claim 16 , wherein the execution component is configured to manage execution of the dialysis treatment based on the user input timing information.

18. The system of claim 17 , wherein the execution component is configured to limit treatment operations performed during the dialysis treatment that exceed a pre-defined noise threshold until any requirement specified by the timing information is satisfied.

19. The system of claim 17 , wherein the user input timing information defines one or more sleep states for the patient.

20. The system of claim 19 , wherein upon satisfying a condition specified by the timing information, the system is configured to assign a sleep state from the one or more sleep states to the patient.

21. The system of claim 1 , further comprising one or more sensors for directly monitoring at least the patient.

22. The system of claim 21 , wherein the one or more sensors include any one or more of a heart rate sensor, a respiration sensor, a temperature sensor, a video sensor, a thermal imaging sensor, an electroencephalogram sensor, a motion sensor, an audio sensor, an accelerometer, or a capacitance sensor.

23. The system of claim 22 , further comprising a communication device coupled to the treatment controller and wherein the treatment controller is configured to establish a communication link via the communication device to an external device including at least one of the one or more sensors.

24. The system of claim 23 , wherein the treatment controller is configured to receive sensor data via the communication link.

25. The system of claim 22 , wherein the sleep state component is configured to analyze the data from the one or more sensors to determine a current sleep state stage of the patient.

26. The system of claim 1 , wherein the sleep component is further configured to determine a sleep state stage for a co-sleeper other than the patient.

27. The system of claim 26 , wherein the sleep state component is configured to identify the co-sleeper responsive to one or more of analyzing sensor data and/or receiving user input regarding a number of sleepers.

28. The system of claim 26 , wherein the execution component is configured to harmonize treatment execution such that treatment operations having a noise level in excess of a threshold are executed during time periods that both the patient and co-sleeper are simultaneously in a deep sleep state.

29. The system of claim 1 , further comprising a safety component configured to monitor sensor data received from one or more sensors.

30. The system of claim 29 , wherein the safety component is configured to correlate sensor data from the one or more sensors to one or more of a heart rate of the patient and/or a respiration rate of the patient.

31. The system of claim 30 , wherein the safety component is configured to monitor one or more of the heart rate and/or the respiration rate to determine a safe range, and to terminate treatment or alarm responsive to values outside of the safe range.

32. The system of claim 1 , whe

Assignees

• Fresenius Medical Care Holdings Inc

Inventors

• Schmidt Daniel
• Egley Bert D

Classifications

• G16H40/63

  for local operation · CPC title

• A61M2205/42

  Reducing noise · CPC title

• A61B5/4812

  Detecting sleep stages or cycles · CPC title

• A61M2205/502

  User interfaces, e.g. screens or keyboards · CPC title

• A61B5/7275

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title