System and method for controlling a bedroom environment control using a sleep tracking system

1 . A method for adjusting a bedroom environment control as a subject falls asleep and/or as the subject wakes up using a sleep monitoring system, the method comprising:

monitoring, via at least one non-contact sensor of a sleep monitoring system during a monitoring period, at least one real-time physiological parameter associated with the subject;

utilizing at least one prediction model, based at least in part on-the at least one real-time physiological parameter, from throughout the monitoring period, and on historical sleep progression data from a long-term trend monitor, to forecast an impending transition of the subject entering into a particular sleep state within a future time window prior to an observed onset;

preemptively initiating, responsive to the monitoring, in real-time, at least one environment change associated with promoting the impending transition into the particular sleep state; and

transmitting, in real-time, over a network via at least one application programming interface (API), to at least one third-party network-connected bedroom environmental control device of a bedroom environmental control system, at least one control signal, the at least one control signal being configured to cause the at least one third-party network-connected bedroom environmental control device to modify at least one environmental condition of a bedroom environment based on the at least one environment change responsive to subject's sleep progression data and prior to the forecast transition, the at least one third-party network-connected bedroom environmental control device being independent from the sleep monitoring system.

2 . The method according to claim 1 wherein the sleep monitoring system comprises:

the at least one non-contact sensor;

a radar;

a processor; and

a user interface;

wherein the at least one non-contact sensor is utilized to detect black-body radiation originating from a subject;

wherein the radar emits a radiofrequency at a specific frequency, and detects a frequency change of reflections of a plurality of targets which have subtle movements caused by respiration and/or a heart beat from the subject;

wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the at least one non-contact sensor to generate presence and vitals information for the subject for communication to the user interface.

3 . The method according to claim 1 wherein the sleep monitoring system comprises:

a monitoring device comprising the at least one non-contact sensor, a radar, a processor, and a first communication module; and

an interface device comprising a second communication module and a user interface module;

wherein the at least one non-contact sensor is utilized to detect black-body radiation originating from a subject;

wherein the radar emits a radiofrequency at a specific frequency, and detects a frequency change of reflections of a plurality of targets which have subtle movements caused by the subject;

wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the at least one non-contact sensor to generate presence and vitals information for the subject for communication to the interface device.

4 . The method according to claim 1 wherein the bedroom environmental control system comprises a communication module, a processor, a memory, a long term trend monitor engine, a parsing and filtering engine, a sleep state estimation and prediction model, an environmental control engine, and a plurality of environment sensors.

5 . The method according to claim 1 further comprising an application programming interface (API).

6 . The method according to claim 1 wherein the at least one real-time physiological parameter comprises presence, motion, respiration rate, pulse rate or SpO2.

7 . A system for adjusting a bedroom environment control as a subject falls asleep and/or as the subject wakes up using a sleep monitoring sub-system, the system comprising:

a sleep monitoring sub-system comprising at least one non-contact sensor; and

wherein the sleep monitoring sub-system is configured to:

monitor, via at least one non-contact sensor of a sleep monitoring system during a monitoring period, at least one real-time physiological parameter associated with the subject;

utilize at least one prediction model, based at least in part on-the at least one real-time physiological parameter, from throughout the monitoring period, and on historical sleep progression data from a long-term trend monitor, to forecast an impending transition of the subject entering into a particular sleep state within a future time window prior to an observed onset;

preemptively initiate, responsive to the monitoring, in real-time, at least one environment change associated with promoting the impending transition into the particular sleep state; and

transmit, in real-time, over a network via at least one application programming interface (API), to at least one third-party network-connected bedroom environmental control device of a bedroom environmental control system, at least one control signal, the at least one control signal being configured to cause the at least one third-party network-connected bedroom environmental control device to modify at least one environmental condition of a bedroom environment based on the at least one environment change responsive to subject's sleep progression data and prior to the forecast transition, the at least one third-party network-connected bedroom environmental control device being independent from the sleep monitoring system.

8 . The system according to claim 7 wherein the sleep monitoring sub-system comprises:

the at least one non-contact sensor;

a radar;

a processor; and

a user interface;

wherein the at least one non-contact sensor is utilized to detect black-body radiation originating from a subject;

wherein the radar emits a radiofrequency at a specific frequency, and detects a frequency change of reflections of a plurality of targets which have subtle movements caused by respiration and/or a heart beat from the subject;

wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the at least one non-contact sensor to generate presence and vitals information for the subject for communication to the user interface.

9 . The system according to claim 7 wherein the sleep monitoring sub-system comprises:

a monitoring device comprising the at least one non-contact sensor, a radar, a processor, and a first communication module; and

an interface device comprising a second communication module and a user interface module;

wherein the at least one non-contact sensor is utilized to detect black-body radiation originating from a subject;

wherein the radar emits a radiofrequency at a specific frequency, and detects a frequency change of reflections of a plurality of targets which have subtle movements caused by the subject;

wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the at least one non-contact sensor to generate presence and vitals information for the subject for communication to the interface device.

10 . The system according to claim 7 wherein the bedroom environmental control sub-system comprises a communication module, a processor, a memory, a long term trend monitor engine, a parsing and filtering engine, a sleep state estimation and prediction model, an environmental control engine, and a plurality of environment sensors.

11 . The system according to claim 7 further comprising an application programming interface (API).

12 . The system according to claim 7 wherein the at least one real-time physiological parameter comprises presence, motion, respiration rate, pulse rate or SpO2.