System and method for controlling a bedroom environment control using a sleep tracking system
A method and system that is integrated in order to provide an automated control system for the user, which provides messaging to bedroom environmental control systems as a function of the status of the user's sleep state is disclosed herein. The system comprises a sleep monitoring sub-system and a bedroom environmental control sub-system. The sleep monitoring sub-system is configured to transmit the subject's sleep progression data to an interface for the bedroom environmental control system. The bedroom environmental control system is configured to modify a bedroom environment based on the subject's sleep progression data.
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.