Method and system for predicting bladder urine volume

A non-transitory computer-readable medium storing instructions that, when executed, cause a computing device to:

• receive an optical dataset associated with a specific user detected by a plurality of photodiodes, wherein the plurality of photodiodes are configured to detect an intensity of light associated with light irradiated to skin located above a bladder of the specific user, and wherein the plurality of photodiodes comprise a first photodiode, a second photodiode, and a third photodiode;
• estimate, based on the optical dataset, an optical characteristic value set for at least a part of a body of the specific user by:
• calibrating, using calibration parameters associated with the plurality of photodiodes, the optical dataset;
• calculating, based on the calibrated optical dataset, a normalized diffuse reflectance of the second photodiode relative to the first photodiode;
• calculating, based on the calibrated optical dataset, a normalized diffuse reflectance of the third photodiode relative to the first photodiode;
• and
• estimating the optical characteristic value set based on:
• the normalized diffuse reflectance of the second photodiode relative to the first photodiode, and
• the normalized diffuse reflectance of the second photodiode relative to the first photodiode;
• estimate, using a urine volume estimation model based on the estimated optical characteristic value set, a bladder urine volume of the specific user;
• and
• output, based on the estimated bladder urine volume of the specific user, a signal indicating the estimated bladder urine volume of the specific user.

A user terminal comprising:

• a communication interface;
• at least one processor;
• and
• a memory storing instructions that, when executed by the at least one processor, cause the user terminal to:
• receive an optical dataset associated with a specific user detected by a plurality of photodiodes, wherein the plurality of photodiodes are configured to detect an intensity of light associated with light irradiated to skin located above a bladder of the specific user, and wherein the plurality of photodiodes comprise a first photodiode, a second photodiode, and a third photodiode;
• estimate, based on the optical dataset, an optical characteristic value set for at least a part of a body of the specific user by:
• calibrating, using calibration parameters associated with the plurality of photodiodes, the optical dataset;
• calculating, based on the calibrated optical dataset, a normalized diffuse reflectance of the second photodiode relative to the first photodiode;
• calculating, based on the calibrated optical dataset, a normalized diffuse reflectance of the third photodiode relative to the first photodiode;
• and
• estimating the optical characteristic value set based on:
• the normalized diffuse reflectance of the second photodiode relative to the first photodiode, and
• the normalized diffuse reflectance of the third photodiode relative to the first photodiode;
• estimate, using a urine volume estimation model based on the estimated optical characteristic value set, a bladder urine volume of the specific user;
• and
• output, based on the estimated bladder urine volume of the specific user, a signal indicating the estimated bladder urine volume of the specific user.