Granted Patent B2

US 12,622,622 · App. 18/593,845 · Granted May 12, 2026

Inventors: Casey Halpern (Philadelphia, PA); Emily Mirro (Pacifica, CA); Cammie Rolle (Novato, CA); Emmanuel Dumont (New York, NY)

Assignee: SynchNeuro, Inc.

A61B5/291A61B5/0006A61B5/14532A61B5/256A61B5/257A61B5/369A61B5/374A61B5/6814A61B5/6815A61B5/7264A61B5/7275A61B5/742A61B5/7455A61B2562/164

Abstract

Claims (16)

1 . A method of predicting a glucose state of a subject, comprising:

during an initial subject process that includes time while the subject is asleep,

non-invasively sensing personal brain activity or information indicative thereof from the subject with a wearable sensor sized and configured to be positioned at a behind an ear or forehead location, the wearable sensor configured to wirelessly communicate to a second device in wireless communication with the wearable sensor;

receiving or generating personal glucose information of the subject using a glucose sensor being worn by the subject while the subject is wearing the wearable sensor, the glucose sensor worn at a location different than the wearable sensor; and

creating a personalized prediction model using at least the personal brain activity or information indicative thereof and the received or generated personal glucose information, the personalized prediction model adapted to predict a future predicted glucose state;

at a time subsequent to the initial subject process, and while the subject is asleep, sensing personal brain activity or information indicative thereof from the subject with the wearable sensor;

predicting, using the personalized prediction model, the personal future predicted glucose state of the subject based at least partially on the subsequently sensed personal brain activity or information indicative thereof; and

outputting instructions that create a visual display on a subject device that is indicative of the personal future predicted glucose state.

2 . A method of predicting a glucose state of a subject, comprising:

during an initial subject process that includes time only when the subject is asleep,

non-invasively sensing personal brain activity or information indicative thereof from the subject with a wearable sensor configured to be positioned at a behind an ear or forehead location, the wearable sensor configured to wirelessly communicate to a second device in wireless communication with the wearable sensor;

receiving or generating personal glucose information of the subject using a glucose sensor that is worn by the subject while the subject is wearing the wearable sensor, the glucose sensor worn at a location different than the wearable sensor; and

creating a personalized prediction model using at least the personal brain activity or information indicative thereof and the received or generated personal glucose information;

at a time subsequent to the initial subject process, and while the subject is asleep, sensing personal brain activity or information indicative thereof from the subject with the wearable sensor;

predicting, using the personalized prediction model, a personal future glucose risk indicator of the subject based at least partially on the subsequently sensed personal brain activity or information indicative thereof; and

outputting instructions that create a visual display on a subject device that is indicative of the personal future glucose risk indicator.

Assignments (1)

Continuity (5)

References Cited (157)