Granted Patent B2

US 12,638,463 · App. 17/916,690 · Granted May 26, 2026

Inventor: Yaara Kapp-Barnea (Nirit, IL)

Assignee: Outsense Diagnostics Ltd.

G01N35/00584A61B10/0038A61B10/007E03D9/00G06T7/0012G06T7/40G06T7/90G01N21/27G01N2035/00306

Abstract

Claims (40)

1 . An apparatus for use in conjunction with a toilet bowl into which urine of a subject and feces of the subject can be emitted and in conjunction with an output device, the apparatus comprising:

an illumination component configured to illuminate the emitted urine with light at a selected wavelength band;

one or more sensors configured to couple to the toilet bowl, detect one or more urine-related parameters relating to the emitted urine and detect one or more feces-related parameters relating to the emitted feces wherein the one or more urine-related parameters includes a first parameter being urine color and wherein the one or more sensors includes a first sensor configured to detect the urine color based on the absorption of the light at the selected wavelength band; and

at least one computer processor configured to:

receive the detected one or more urine-related parameters;

identify the one or more urine-related parameters including the detected urine color;

receive the detected one or more feces-related parameters;

identify the one or more feces-related parameters;

using at least one of the identified one or more urine-related parameters including the detected urine color, determine whether the subject is dehydrated or is not dehydrated;

using at least one of the identified one or more feces-related parameters, and responsive to determining the subject is dehydrated, classify the subject with a particular dehydration; and

generate an output signal indicative of the classification of the particular dehydration to the output device.

2 . The apparatus of claim 1 , wherein the particular dehydration is selected from the group consisting of: isotonic dehydration, hypertonic dehydration, and hypotonic dehydration.

3 . The apparatus according to claim 1 , wherein:

the one or more sensors includes a second sensor configured to detect urine volume; and

the at least one computer processor is further configured to identify a second urine-related parameter of the one or more urine-related parameters relating to urine based on the detected urine volume.

4 . The apparatus according to claim 1 , wherein:

the one or more sensors includes a second sensor configured to detect urine voiding duration; and

the at least one computer processor is further configured to identify a second urine-related parameter of the one or more urine-related parameters relating to urine based on the detected urine voiding duration.

5 . The apparatus according to claim 1 , wherein the at least one computer processor is further configured to identify the one or more feces-related parameters relating to the feces based on the detected one or more feces-related parameters selected from the group consisting of: shape, size, texture, and color.

6 . The apparatus of claim 1 , wherein:

the one or more sensors includes a second sensor configured to detect urine voiding frequency of the subject; and

the at least one computer processor is further configured to identify a second urine-related parameter of the one or more urine-related parameters relating to the urine based on the detected urine voiding frequency.

7 . The apparatus according to claim 6 , wherein the at least one computer processor is configured to determine the urine voiding frequency of the subject by automatically tracking the subject is urinating at a given time.

8 . The apparatus according to claim 1 , wherein the at least one computer processor is further configured to identify the one or more feces-related parameters relating to the feces by computationally analyzing an image of the feces.

9 . The apparatus according to claim 8 , wherein the computationally analyzing comprises one or more selected from the group consisting of a masking, a contrast enhancement, an image-edge detection, a region-of-interest detection, a morphological changes application, and a segmentation.

10 . The apparatus according to claim 1 , wherein:

the at least one computer processor is further configured to determine the urine specific gravity from the detected urine color, and determine whether the subject is dehydrated or is not dehydrated using the determined urine specific gravity.

11 . The apparatus according to claim 10 , wherein:

the first sensor is further configured to detect a signal indicative of the absorption of cyan-green light by the urine; and

the at least one computer processor is further configured to determine the urine specific gravity using the detected signal.

12 . The apparatus according to claim 1 , wherein:

the wavelength band is within a range of 440-480 nm;

the first sensor is configured to detect a first signal indicative of the light emitted by the urine at a wavelength within a range of 505-535 nm in response to the illuminating; and

the at least one computer processor is further configured to determine oxidized urobilin concentration within the urine using the first signal.

13 . The apparatus according to claim 12 , wherein:

the one or more sensors comprises aa second sensor configured to detect a second signal indicative of the absorption of light within the wavelength band of 480-520 nm by the urine; and

the at least one computer processor is further configured to determine the oxidized urobilinogen concentration within the urine using the second signal.

14 . The apparatus according to claim 12 , wherein the at least one computer processor is further configured to:

determine the ratio of the light absorption by the urine at the first wavelength band over light absorption by the urine at a second wavelength band; and

determine bilirubin concentration within the urine using the determined ratio.

Assignments (1)

Continuity (2)

References Cited (26)