US 11,813,076 B2
Stress reduction and sleep promotion system
Todd Youngblood, Mooresville, NC (US); and Tara Youngblood, Mooresville, NC (US)
Assigned to SLEEPME INC., Mooresville, NC (US)
Filed by Youngblood IP Holdings, LLC, Mooresville, NC (US)
Filed on Nov. 18, 2019, as Appl. No. 16/686,394.
Application 16/686,394 is a continuation in part of application No. 15/848,816, filed on Dec. 20, 2017, granted, now 11,013,883.
Application 15/848,816 is a continuation in part of application No. 15/705,829, filed on Sep. 15, 2017, granted, now 10,986,933.
Application 15/705,829 is a continuation in part of application No. 14/777,050, granted, now 10,278,511, issued on May 7, 2019, previously published as PCT/US2014/030202, filed on Mar. 17, 2014.
Claims priority of provisional application 62/769,183, filed on Nov. 19, 2018.
Claims priority of provisional application 62/398,257, filed on Sep. 22, 2016.
Claims priority of provisional application 61/800,768, filed on Mar. 15, 2013.
Prior Publication US 2020/0077942 A1, Mar. 12, 2020
Int. Cl. A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/11 (2006.01); A61M 21/00 (2006.01)
CPC A61B 5/4812 (2013.01) [A61B 5/02055 (2013.01); A61B 5/1118 (2013.01); A61B 5/4815 (2013.01); A61B 5/4884 (2013.01); A61B 5/681 (2013.01); A61M 2021/0066 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system to reduce stress and promote sleep comprising:
at least one remote device;
at least one remote server; and
at least one body sensor, wherein the at least one body sensor includes a heart rate sensor;
wherein the at least one remote device is in network communication with the at least one remote server and the at least one body sensor;
wherein the at least one remote device collects body sensor data from the at least one body sensor;
wherein the at least one remote device is operable to analyze the body sensor data, thereby creating analyzed body sensor data;
wherein the analyzed body sensor data includes at least a resting heart rate and a heart rate variability;
wherein the at least one remote device is operable to estimate sleep stages from the body sensor data and/or the analyzed body sensor data;
wherein the at least one remote device stores a chronotype for a user;
wherein the at least one remote device classifies a user into at least one group based on a user profile, the body sensor data, and/or user provided information; and
wherein the at least one remote server is operable to run at least one algorithm to suggest at least one intervention to the user to reduce stress and/or promote sleep based on the user profile, the body sensor data, the analyzed body sensor data, the chronotype of the user, and the user provided information;
wherein the at least one remote server includes a global analytics engine, a simulation engine, and a calibration engine;
wherein the global analytics engine is operable to generate predicted values for a monitored stress reduction and sleep promotion system using a virtual model based on real-time data;
wherein the simulation engine is operable to generate optimized values of the monitored stress reduction and sleep promotion system based on real-time data and user preferences;
wherein, based on the output of the simulation engine, the global analytics engine determines if a change in parameters of the system is necessary to optimize sleep; and
wherein the calibration engine is operable to modify and update the virtual model with new parameters.