USPTO Grants Urination Prediction Monitoring Patent

ChangeBridge: Patent Grants - Health Informatics (G16H)

Published March 17th, 2026

Detected March 22nd, 2026

Summary

The USPTO has granted patent US12580085B2 to GOGO BAND, INC. for a system designed to predict and monitor urination events using wearable and mobile devices. The patent covers methods for collecting biometric and environmental data to determine predicted urination times and provide stimuli to users or caregivers.

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What changed

The United States Patent and Trademark Office (USPTO) has granted patent US12580085B2 to GOGO BAND, INC. This patent covers a system and method for predicting and detecting urination events. The system utilizes wearable devices, mobile devices, and computing systems to collect biometric and environmental data, which is then processed by a urination model to predict urination times. The patent also describes providing stimuli to users and caregivers based on these predictions and identifying imminent urination events.

This patent grant is a non-binding notice of intellectual property protection and does not impose new regulatory obligations on any entities. However, it signifies innovation in health informatics and monitoring technologies. Companies operating in the health tech or medical device sectors, particularly those developing solutions for elder care, incontinence management, or patient monitoring, should be aware of this granted patent as it may impact their product development and intellectual property strategies.

Source document (simplified)

← USPTO Patent Grants

Urination prediction and monitoring

Grant US12580085B2 Kind: B2 Mar 17, 2026

Assignee

GOGO BAND, INC.

Inventors

Steven Zyglowicz, Tim Baker, Jon Coble, Israel Franco

Abstract

A system for predicting and detecting urination events of users is disclosed. The system can include any number of wearable devices, mobile devices, hubs, computing devices, and servers to collect, share, process, and interpret data, as well as to provide stimuli to users and caregivers. Biometric and/or environmental data associated with a user can be collected and applied to a urination model to determine a predicted urination time. The user or a caregiver can be provided with direct or environmental stimuli conveying information about predicted urination times. Ongoing biometric and/or environmental data collection can be used to identify, and provide stimuli warning of, imminent urination events. Voluntary and involuntary feedback of actual urination events, as well as continued biometric and/or environmental data collection, can be used to train individual and collective urination models.