Granted Patent B2

US 12,207,951 · App. 17/832,405 · Granted Jan 28, 2025

Inventors: Eric Bergman (Newton, MA); Jonathan Leclerc (Northborough, MA); David Yuds (Hudson, NH); Maria Tamayo-Coffey (Pleasanton, CA); Jessica Steuber (Berlin, MA)

Assignee: Fresenius Medical Care Holdings, Inc.

A61B5/7275A61B5/0205A61B5/746G01G19/50G16H50/30A61B3/12A61B5/021A61B5/201

Abstract

Claims (61)

1. A device for detecting potential kidney diseases, comprising:

at least one sensor configured to capture sensor data corresponding to a user;

an audible or visual indicator; and

at least one processor communicatively coupled to the at least one sensor and the audible or visual indicator, the at least one processor configured to execute non-transitory computer-executable instructions that, when executed, cause the at least one processor to carry out operations comprising:

causing the at least one sensor to capture sensor data corresponding to the user, the captured sensor data comprising retinal image data of the user;

receiving, at the at least one processor from the at least one sensor, the captured sensor data;

processing, by the at least one processor, the captured sensor data to determine at least one of a cardiac output of the user or a hydration status of the user;

processing, by the at least one processor, the retinal image data to measure at least one of a volume of a retina of the user, a total thickness of the retina of the user, or a central subfield mean retinal thickness;

determining, by the at least one processor based on the processed retinal image data and the at least one of the cardiac output of the user or the hydration status of the user, a risk that the user has at least one kidney disease; and

transmitting, by the at least one processor, a signal representing the risk that the user has at least one kidney disease to the audible or visual indicator for presenting the risk to the user.

2. The device of claim 1 , wherein:

the at least one sensor comprises a weight sensor communicatively coupled to the at least one processor; and

determining a risk that the user has at least one kidney disease is further based on processing, by the at least one processor, the captured sensor data to determine the weight of the user.

3. The device of claim 1 , wherein:

the at least one sensor comprises a urinalysis sensor communicatively coupled to the at least one processor; and

determining a risk that the user has at least one kidney disease is further based on processing, by the at least one processor, the captured sensor data to determine urinalysis data of the user.

4. The device of claim 1 , wherein presenting the risk to the user comprises presenting, by the audible or visual indicator to the user, a recommendation that the user visit a healthcare provider.

5. The device of claim 1 , wherein determining the risk that the user has at least one kidney disease further comprises:

processing the captured sensor data to determine a health risk value; and

comparing the health risk value to a threshold health risk value.

6. The device of claim 5 , wherein determining the health risk value comprises weighting the processed sensor data in accordance with a predetermined weighting scheme.

7. The device of claim 1 , wherein presenting the risk to the user comprises generating a print-out having a summary of a plurality of risk factors.

8. The device of claim 1 , further comprising a user interface configured to capture lifestyle data of the user, wherein the operations further comprise:

receiving, from the user interface, lifestyle data of the user; and

the risk that the user has at least one kidney disease is determined based partly on the received lifestyle data.

9. The device of claim 1 , wherein determining the risk that the user has at least one kidney disease comprises determining a risk that the user has chronic kidney disease.

10. The device of claim 1 , wherein:

processing the retinal image data comprises processing, by the at least one processor, the retinal image data to measure the volume of the retina of the user; and

determining the risk that the user has at least one kidney disease comprises determining, by the at least one processor based on the volume of the retina of the user and the at least one of the cardiac output of the user or the hydration status of the user, the risk that the user has at least one kidney disease.

11. A method, comprising:

causing at least one sensor to capture sensor data corresponding to a user, the captured sensor data comprising retinal image data of the user;

receiving, from the at least one sensor, the captured sensor data;

processing the captured sensor data to determine at least one of a cardiac output of the user or a hydration status of the user;

processing the retinal image data to measure at least one of a volume of a retina of the user, a total thickness of the retina of the user, or a central subfield mean retinal thickness;

determining, based on the processed retinal image data and the at least one of the cardiac output of the user or the hydration status of the user, a risk that the user has at least one kidney disease; and

transmitting a signal representing the risk that the user has at least one kidney disease to an audible or visual indicator for presenting the risk to the user.

12. The method of claim 11 , wherein:

the at least one sensor comprises a weight sensor; and

determining a risk that the user has at least one kidney disease is further based on processing the captured sensor data to determine the weight of the user.

13. The method of claim 11 , wherein:

the at least one sensor comprises a urinalysis sensor; and

determining a risk that the user has at least one kidney disease is further based on processing the captured sensor data to determine urinalysis data of the user.

14. The method of claim 11 , wherein presenting the risk to the user comprises causing the audible or visual indicator to present, to the user, a recommendation that the user visit a healthcare provider.

15. The method of claim 11 , wherein determining the risk that the user has at least one kidney disease further comprises:

processing the captured sensor data to determine a health risk value; and

comparing the health risk value to a threshold health risk value.

16. The method of claim 15 , wherein determining the health risk value comprises weighting the processed sensor data in accordance with a predetermined weighting scheme.

17. The method of claim 11 , further comprising, receiving, from a user interface, lifestyle data of the user, wherein the risk that the user has at least one kidney disease is determined based partly on the received lifestyle data.

18. The method of claim 11 , wherein:

processing the retinal image data comprises processing the retinal image data to measure the volume of the retina of the user; and

determining the risk that the user has at least one kidney disease comprises determining, based on the volume of the retina of the user and the at least one of the cardiac output of the user or the hydration status of the user, the risk that the user has at least one kidney disease.

19. A non-transitory computer-readable storage medium having instructions executable by one or more processors to cause the processors to perform operations comprising:

causing at least one sensor to capture sensor data corresponding to a user, the captured sensor data comprising retinal image data of the user;

receiving, from the at least one sensor, the captured sensor data;

processing the captured sensor data to determine at least one of a cardiac output of the user or a hydration status of the user;

processing the retinal image data to measure at least one of a volume of a retina of the user, a total thickness of the retina of the user, or a central subfield mean retinal thickness;

determining, based on the processed retinal image data and the at least one of the cardiac output of the user or the hydration status of the user, a risk that the user has at least one kidney disease; and

transmitting a signal representing the risk that the user has at least one kidney disease to an audible or visual indicator for presenting the risk to the user.

20. The non-transitory computer-readable storage medium of claim 19 , wherein:

processing the retinal image data comprises processing the retinal image data to measure the volume of the retina of the user; and

determining the risk that the user has at least one kidney disease comprises determining, based on the volume of the retina of the user and the at least one of the cardiac output of the user or the hydration status of the user, the risk that the user has at least one kidney disease.

Assignments (1)

Continuity (2)

References Cited (52)