US 12,263,348 B2
Circadian rhythm monitoring and regulation system
Devendra Tolani, Germantown, MD (US); Pedram Hovareshti, Rockville, MD (US); Rajeev Bhalla, Rockville, MD (US); Glenn Nickens, Clarksburg, MD (US); Jordan Specht, Gaithersburg, MD (US); Devon Callan, Olney, MD (US); Andrew Bierman, Albany, NY (US); Mariana G Figueiro, Troy, NY (US); Geoffrey E Jones, Manchester, CT (US); Mark S Rea, Melrose, NY (US); and Gregory A Ward, Niskayuna, NY (US)
Assigned to BLUEHALO LABS, LLC, Albuquerque, NM (US)
Filed by Intelligent Automation, LLC, Rockville, MD (US); and Rensselaer Polytechnic Institute, Troy, NY (US)
Filed on May 29, 2020, as Appl. No. 16/888,083.
Claims priority of provisional application 62/855,443, filed on May 31, 2019.
Prior Publication US 2020/0398076 A1, Dec. 24, 2020
Int. Cl. A61N 5/06 (2006.01)
CPC A61N 5/0618 (2013.01) [A61N 2005/0626 (2013.01); A61N 2005/0648 (2013.01); A61N 2005/0652 (2013.01); A61N 2005/0663 (2013.01)] 20 Claims
OG exemplary drawing
 
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.
 
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.