IP Library Granted Patent US 12,263,348
Granted Patent B2
US 12,263,348 · App. 16/888,083 · Granted Apr 1, 2025

Circadian rhythm monitoring and regulation system

Inventors: Devendra Tolani (Germantown, MD); Pedram Hovareshti (Rockville, MD); Rajeev Bhalla (Rockville, MD); Glenn Nickens (Clarksburg, MD); Jordan Specht (Gaithersburg, MD); Devon Callan (Olney, MD); Andrew Bierman (Albany, NY); Mariana G Figueiro (Troy, NY); Geoffrey E Jones (Manchester, CT); Mark S Rea (Melrose, NY); Gregory A Ward (Niskayuna, NY)
Assignee: BLUEHALO LABS, LLC
A61N5/0618A61N2005/0626A61N2005/0648A61N2005/0652A61N2005/0663
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Quick Facts
Patent No.
US 12,263,348
App. No.
16/888,083
Granted
Apr 1, 2025
Kind
B2
Abstract

A Circadian Rhythm Monitoring and Regulation (CMR) system and method that includes: a novel non-obtrusive wearable system for increasing the health and productivity of warfighters or other individuals that are disrupted by excessive, abnormal shifts in work or flights across multiple time zones. The CMR system is based on advanced sensor and software technology and models of human circadian system phototransduction and a circadian stimulator oscillator developed by applicants. It measures circadian misalignment and provides lighting suggestions for circadian rhythm maintenance and realignment.

Claims (38)

1. A system comprising:

a light sensor, configured to be worn on a torso of a user to collect light information associated with calibrated, ecological light-dark exposure patterns;

an activity sensor, configured to be worn by the user to collect activity information associated with activity of the user;

a pair of light therapy treatment goggles configured to be worn on a head of the user, the pair of light therapy treatment goggles comprising blue LED lights;

orange-tinted glasses configured to be worn on the head of the user; and,

a mobile computing device located remotely from the light sensor, the activity sensor and the pair of light therapy treatment goggles, wherein the mobile computing device communicates with the light sensor and the activity sensor, wherein the mobile computing device comprises a mobile application stored in memory including processor executable instructions, that when executed by a processor of the mobile computing device operably connected to the memory, computes a circadian light stimulus light treatment recommendation for the user, based on the collected light information associated with calibrated, light-dark exposure patterns and activity information, the circadian light stimulus light treatment recommendation being instructions for delivery of light therapy to the user in the form of blue light by the blue LED lights of the pair of light therapy treatment goggles worn by the user as instructed by the mobile application at first recommended times and intervals and blockage of blue light provided by the orange-tinted glasses worn by the user as instructed by the mobile application at second recommended times and intervals;

wherein the circadian light stimulus light treatment recommendation comprises instructions to the user to wear the pair of light therapy treatment goggles or the orange-tinted glasses at the respective first and second recommended times and intervals so that the user is exposed to blue light by the blue LED lights of the pair of light therapy treatment goggles and blocked from blue light by the orange-tinted glasses as part of the light therapy; and,

wherein the pair of light therapy treatment goggles and the orange tinted-glasses provide lighting intervention during the respective first and second recommended times and intervals.

2. The system as set forth in claim 1 , wherein the light sensor and activity sensor are wirelessly connected to the mobile computing device.

3. The system as set forth in claim 1 , wherein the mobile application includes processor executable code that when executed by the processor implements a circadian stimulator oscillator to deliver a light prescription to delay or advance a circadian phase of the user.

4. The system as set forth in claim 1 , wherein the mobile application uses a modified Kronauer model of human circadian entrainment.

5. The system as set forth in claim 1 , wherein dim light melatonin onset (DLMO) is used as a marker of circadian phase.

6. The system as set forth in claim 5 , wherein saliva samples are collected from the user for DMLO measurement.

7. The system as set forth in claim 1 , wherein the light sensor continuously collects light information.

8. The system as set forth in claim 7 , wherein the activity sensor continuously collects activity information.

9. The system as set forth in claim 1 , wherein the system uses personal light exposures detected by the light sensor to predict circadian phases, and the mobile computing device determines a solar phase.

10. The system as set forth in claim 9 , wherein phase shifts are determined from time of day differences when angular positions occur on a circadian stimulator oscillator model.

11. The system as set forth in claim 1 , wherein the pair of light therapy goggles are worn by the user when instructed by the mobile application.

12. The system as set forth in claim 11 , wherein the orange-tinted glasses are worn by the user when instructed by the mobile application.

13. A method comprising the steps of: providing a light sensor configured to be worn on a torso of a user to collect light information associated with calibrated, ecological light-dark exposure patterns; providing an activity sensor worn by the user to collect activity information associated with activity of the user; providing a pair of light therapy treatment goggles configured to be worn on a head of the user, the pair of light therapy treatment goggles comprising blue LED lights; providing orange-tinted glasses and, providing a mobile computing device, located remotely from the light sensor, the activity sensor and the pair of light therapy treatment goggles; using the mobile computing device to: communicates with the light sensor and the activity sensor, wherein the mobile computing device comprises a mobile application stored in memory and processor executable instructions, that when executed by a processor of the mobile computing device operably connected to the memory, causes the mobile application to: compute a circadian light stimulus light treatment recommendation for the user, based on the collected light information associated with calibrated, light-dark exposure patterns and activity information, the circadian light stimulus light treatment recommendation being instructions for delivery of light therapy to the user in the form of blue light by the blue LED lights of the pair of light therapy treatment goggles worn by the user as instructed by the mobile application at first recommended times and intervals and blockage of blue light provided by the orange-tinted glasses worn by the user as instructed by the mobile application at second recommended times and intervals; wherein the circadian light stimulus light treatment recommendation comprises: sending instructions to the user to wear the pair of light therapy treatment goggles or the orange-tinted glasses at the respective first and second recommended times and intervals so that the user is exposed to blue light by the blue LED lights of the pair of light therapy treatment goggles and blocked from blue light by the orange-tinted glasses as part of the light therapy; and, wherein the pair of light therapy treatment goggles and the orange tinted-glasses provide lighting intervention during the respective first and second recommended times and intervals.

14. The method as set forth in claim 13 , further including the steps of:

providing a circadian stimulator oscillator in the mobile application; and

delivering a light prescription to delay or advance a circadian phase of the user.

15. The method as set forth in claim 13 , further including the steps of:

continuously collecting light information using the light sensor;

continuously collecting activity information using the activity sensor; and

using the continuously collected light and activity information intermittently.

16. The method as set forth in claim 13 , further including the step of determining phase shifts from time of day differences when angular positions occur on a circadian stimulator oscillator model.

17. The method as set forth in claim 13 , further including the step of:

providing, by the mobile application, instructions to the user to wear the pair of light therapy goggles.

18. The method as set forth in claim 17 , further including the steps of:

providing, by the mobile application, instructions to the user to wear the orange-tinted glasses at least partially during daytime.

19. The method as set forth in claim 13 , further including the steps of:

collecting personal light exposures information using the light sensor; and

predicting circadian phases using the light exposure information.

20. The method as set forth in claim 13 , further including the steps of:

using dim light melatonin onset (DLMO) as a marker of circadian phase; and

collecting saliva samples from the user for DLMO measurement.

Assignments (13)
MERGER Recorded May 8, 2025
From: BLUEHALO LABS, LLC
To: BLUEHALO LABS, LLC
Reel/Frame 071062/0926 →
SECURITY INTEREST Recorded May 5, 2025
From: BLUEHALO LABS, LLC
To: BANK OF AMERICA, N.A., AS THE ADMINISTRATIVE AGENT
Reel/Frame 071024/0565 →
RELEASE OF SECURITY INTEREST Recorded May 3, 2025
From: APOGEM CAPITAL LLC, AS COLLATERAL AGENT
To: BLUEHALO LABS, LLC
Reel/Frame 071015/0443 →
RELEASE OF SECURITY INTEREST Recorded May 2, 2025
From: APOGEM CAPITAL LLC, AS COLLATERAL AGENT
To: BLUEHALO LABS, LLC
Reel/Frame 071007/0802 →
SECURITY INTEREST Recorded Jan 14, 2025
From: BLUEHALO LABS, LLC
To: APOGEM CAPITAL LLC, AS COLLATERAL AGENT
Reel/Frame 069859/0024 →
CORRECTIVE ASSIGNMENT TO CORRECT THE THE CORRESPONENT NAME PREVIOUSLY RECORDED AT REEL: 68634 FRAME: 682. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Sep 23, 2024
From: WARD, GREGORY A.
To: RENSSELAER POLYTECHNIC INSTITUTE
Reel/Frame 069016/0200 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 19, 2024
From: WARD, GREGORY A.
To: RENSSELAER POLYTECHNIC INSTITUTE
Reel/Frame 068634/0682 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 15, 2024
From: REA, MARK S.; BIERMAN, ANDREW; FIGUEIRO, MARIANA G.; JONES, GEOFFREY E.
To: RENSSELAER POLYTECHNIC INSTITUTE
Reel/Frame 067418/0015 →
MERGER Recorded Jan 19, 2024
From: INTELLIGENT AUTOMATION, LLC
To: BLUEHALO LABS, LLC
Reel/Frame 066184/0913 →
ASSIGNMENT OF INTELLECTUAL PROPERTY SECURITY AGREEMENT Recorded May 6, 2022
From: MADISON CAPITAL FUNDING LLC
To: APOGEM CAPITAL LLC, AS SUCCESSOR AGENT
Reel/Frame 059907/0641 →
CHANGE OF NAME Recorded Mar 22, 2022
From: INTELLIGENT AUTOMATION, INC.
To: INTELLIGENT AUTOMATION, LLC
Reel/Frame 059335/0764 →
SECURITY INTEREST Recorded Sep 15, 2021
From: INTELLIGENT AUTOMATION, LLC
To: MADISON CAPITAL FUNDING LLC, AS COLLATERAL AGENT
Reel/Frame 057486/0906 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 28, 2020
From: TOLANI, DEVENDRA; HOVARESHTI, PEDRAM; BHALLA, RAJEEV; NICKENS, GLENN; SPECHT, JORDAN; CALLAN, DEVON
To: INTELLIGENT AUTOMATION, INC.
Reel/Frame 054196/0013 →
Cited By (1)
US 12,627,050