WO2023038860A1 - System and method for controlling a bedroom environment control using a sleep tracking system - Google Patents

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

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Publication number
WO2023038860A1
WO2023038860A1 PCT/US2022/042515 US2022042515W WO2023038860A1 WO 2023038860 A1 WO2023038860 A1 WO 2023038860A1 US 2022042515 W US2022042515 W US 2022042515W WO 2023038860 A1 WO2023038860 A1 WO 2023038860A1
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WIPO (PCT)
Prior art keywords
radar
living subject
processor
subject
sleep
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PCT/US2022/042515
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French (fr)
Inventor
Eric Gregory WHITE
David Robert ABRAMS
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Miku, Inc.
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Publication date
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Publication of WO2023038860A1 publication Critical patent/WO2023038860A1/en

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  using microwaves or terahertz waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816—Measuring devices for examining respiratory frequency
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1113—Local tracking of patients, e.g. in a hospital or private home
    • A61B5/1114—Tracking parts of the body
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • A61B5/14552—Details of sensors specially adapted therefor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4812—Detecting sleep stages or cycles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6889—Rooms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
    • A61B2505/07—Home care

Definitions

  • the present invention generally relates to sleep monitors.
  • the present invention provides a 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. This allows for control of lighting, sound, room scent, etc as a sleep aid, or for sleep therapy.
  • the present invention is a system and method for using any manner of sleep tracking system along with any manner of bedroom environmental control system or systems (light sources, sound machines, scent diffusers, etc) to aid a user in falling asleep and waking up.
  • One aspect of the present invention is 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 includes monitoring the subject using a sleep monitoring system to detect at least one parameter, the at least one parameter comprising presence, motion, respiration rate, pulse rate or SpO2.
  • the method also includes analyzing the at least one parameter for changes to determine the subject’s sleep progression data.
  • the method also includes transmitting the subject’s sleep progression data to an interface for a bedroom environmental control system.
  • the method also includes modifying a bedroom environment based on the subject’s sleep progression data utilizing the bedroom environmental control system.
  • Another aspect of the present invention is 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 comprises a sleep monitoring sub-system and a bedroom environmental control subsystem.
  • the sleep monitoring sub-system is configured to monitor the subject to detect at least one parameter, the at least one parameter comprising presence, motion, respiration rate, pulse rate or SpO2.
  • the sleep monitoring sub-system is configured to analyze the at least one parameter for changes to determine the subject’s sleep progression data.
  • 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.
  • Yet another aspect of the present invention is a non-transitory computer-readable medium that stores a program that causes a processor to perform functions for adjusting a bedroom environment control as a subject falls asleep and/or as the subject wakes up using a sleep monitoring system by executing the following steps: monitoring the subject using a sleep monitoring system to detect at least one parameter, the at least one parameter comprising presence, motion, respiration rate, pulse rate or SpO2; analyzing the at least one parameter for changes to determine the subject’s sleep progression data; transmitting the subject’s sleep progression data to an interface for a bedroom environmental control system; and modifying a bedroom environment based on the subject’s sleep progression data utilizing the bedroom environmental control system.
  • FIG. 1 is a block diagram of a system for adjusting a bedroom environment control as a subject falls asleep and/or as the subject wakes up using a sleep monitoring system.
  • FIG. 2 is a block diagram of a system for adjusting a bedroom environment control as a subject falls asleep and/or as the subject wakes up using a sleep monitoring system.
  • FIG. 3. is a flow chart for 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.
  • FIG. 4 is a block diagram of a sleep monitoring system.
  • FIG. 5 is a block diagram of a non-transitory computer- readable medium of the present invention. Best Mode(s) For Carrying Out The Invention
  • An algorithm ingests the output of a sleep monitor system such as the output of the MIKU smart baby monitor.
  • This data may be provided via an API, through a direct connection such as bluetooth, or may be integrated within the system itself.
  • the sleep system provides information such as presence, motion, and vitals such as respiration rate, pulse rate, and/or SpO2. This information is monitored, and tracked for changes which indicate this user’s particular sleep progression such as entering different sleep stages.
  • An interface is then provided to the bedroom environmental control system such as to the Philips Hue lighting system.
  • This interface may be provided via an API, through direct connection such as bluetooth, or may be integrated within the system itself.
  • the system provides commands to the bedroom environmental control system such as “set lighting intensity to 25%” or “set lighting RGB to ⁇ 255, 244, 229>.”
  • Sensors such as light, temperature and sound sensors could provide positive feedback to a learning algorithm for enhanced system performance and insights to potential user actions such as the purchase of blackout curtains, white noise machines, or heating/cooling systems.
  • Sleep metrics could be correlated with bedroom environment conditions in order to inform the user as to conditions which enhance their sleep patterns, make automated adjustments, or show improvements to sleep patterns over time.
  • PRE WAKE STATE can be: ⁇ LIGHTS: 0% Intensity Sweep, SOUND:0% ⁇ ; Once wake onset has been observed, configure light and sound for WAKE ONSET S TATE, for example ⁇ LIGHTS: 0-100% Intensity Sweep, SOUND: 0-100% Volume Bird Chirp ⁇ ; and Once it is observed the user is awake, configure light and sound for WAKE STATE, for example ⁇ LIGHTS: 80% Intensity, SOUND: Light Music ⁇ .
  • a system 100 for adjusting a bedroom environment control as a subject 10 falls asleep and/or as the subject 10 wakes up using a sleep monitoring system 30 is shown in FIG. 1.
  • a communication module 22 of a control system 20 communicates with the sleep monitor 30, and communicates with the bedroom environmental control system 40.
  • a processor 24 executes the algorithms.
  • a memory 26 stores the information from the sensors.
  • Optional environmental sensors 28 monitor the output of the environmental control system and improve algorithm performance.
  • FIG. 2 shows a process 80 of the system 100 for adjusting a bedroom environment control.
  • the process includes the sleep monitor system 30 communicating data 81 to the control system 20.
  • the process also includes parsing and filtering 82 the data, using a long-term trend monitor 83 and a sleep state estimation and prediction model 84, and storing the data in memory 26.
  • the process also includes using the sleep state estimation and prediction model 84 for environmental control 85 which then communicates 86 with bedroom environmental controls such as a lighting control 88 and/or a sound control 89.
  • sensors 87 can monitor the output of the environmental control 85.
  • the sleep monitoring sub-system comprises a RGB imaging sensor, a radar, a processor, and a user interface.
  • the RGB imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources.
  • the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject.
  • the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the RGB sensor to generate presence and vitals information for the living subject for communication to the user interface.
  • the sleep monitoring sub-system comprises a monitoring device and an interface device.
  • the monitoring device comprises an IR imaging sensor, a radar, a processor, and a first communication module.
  • the interface device comprises a second communication module and a user interface module.
  • the IR imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources.
  • the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject.
  • the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the IR imaging sensor to generate presence and vitals information for the living subject for communication to the interface device.
  • the sleep monitoring sub-system comprises an IR imaging sensor, a radar, a processor, and a user interface.
  • the IR imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources.
  • the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject.
  • the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the IR sensor to generate presence and vitals information for the living subject for communication to the user interface.
  • the sleep monitoring sub-system 50 comprises a monitoring device 60 and an interface device 70.
  • the monitoring device 60 comprises a passive long wave infrared (“LWIR”) sensor 62, a radar 64, a processor 66, and a first communication module 68.
  • the interface device 70 comprises a second communication module 72 and a user interface module 74.
  • the LWIR sensor 62 is utilized to detect black-body radiation originating from a living subject 10.
  • the radar 64 emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements caused by the living subject 10.
  • the processor 66 is configured to run an algorithm to perform digital signal processing on data provided by the radar 64 and the LWIR sensor 62 to generate presence and vitals information for the living subject 10 for communication to the interface device 70.
  • the sleep monitoring sub-system comprises a passive long wave infrared (“LWIR”) sensor, a radar, a processor, and a user interface.
  • the LWIR sensor is utilized to detect black-body radiation originating from a living subject.
  • the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements caused by the respiration and/or ballistocardiography from the living subject.
  • the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the LWIR sensor to generate presence and vitals information for the living subject for communication to the user interface.
  • the sleep monitoring sub-system comprises a camera (such as a NANIT system), a processor, and a user interface.
  • the sleep monitoring sub-system comprises a SpO2 monitor (such as an OWLET system), a processor, and a user interface.
  • a SpO2 monitor such as an OWLET system
  • a processor such as an OWLET system
  • a user interface such as an OWLET system
  • a flow chart 90 for 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 is shown in FIG. 3.
  • a subject is monitored using a sleep monitoring system to detect at least one parameter.
  • the parameter is analyzed for changes to determine the subject’s sleep progression data.
  • the sleep progression data is transmitted to an interface of a bedroom environment control system. Utilizing the bedroom environmental control system, the bedroom environment is modified based on the subject’s sleep progression data in step 94.
  • a non-transitory computer-readable medium 125 is shown in FIG. 5.
  • a program 124 is stored in the non-transitory computer-readable medium 125 that causes a processor 126 to perform functions for adjusting a bedroom environment control by executing defined steps 128.
  • the execution of the defined steps 128 includes monitoring the subject using a sleep monitoring system to detect at least one parameter, analyzing the at least one parameter for changes to determine the subject’s sleep progression data, transmitting the subject’s sleep progression data to an interface for a bedroom environmental control system, and modifying a bedroom environment based on the subject’s sleep progression data utilizing the bedroom environmental control system.
  • the parameter preferably comprises presence, motion, respiration rate, pulse rate or SpO2.

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Abstract

A method (90) and system (100) that is integrated in order to provide an automated control system for the user (10), which provides messaging to bedroom environmental control systems (40) as a function of the status of the user's sleep state is disclosed herein. The system comprises a sleep monitoring sub-system (30) and a bedroom environmental control sub-system (40). The sleep monitoring sub-system (30) is configured to transmit the subject's sleep progression data to an interface (70) for the bedroom environmental control system (40). The bedroom environmental control system (40) is configured to modify a bedroom environment based on the subject's sleep progression data.

Description

System And Method For Controlling A Bedroom Environment Control Using A Sleep Tracking System
Technical Field
[0001] The present invention generally relates to sleep monitors. Background Art
[0002] Sleep monitors and bedroom environmental control do not currently exist as integrated systems and compete in separate marketplaces which serve similar markets. This product integrates the general output of any manner of sleep monitor systems in order to control and enhance any manner of bedroom environmental control systems.
[0003] There exist bedroom environment control systems, such as the Philips Hue smart light, Philips SmartSleep Wake-up Light, or Lutron lighting system, Hatch Restore, or any manner of timer-based oil diffusers. Additionally, there exist systems which monitor sleep state, analyze sleep patterns, and provide a user either real time sleep status such as with the Miku smart baby monitor, or post-processed sleep status such as the FitBit inspire HR.
[0004] These systems are not integrated.
Summary Of The Invention
[0005] The present invention provides a 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. This allows for control of lighting, sound, room scent, etc as a sleep aid, or for sleep therapy. [0006] The present invention is a system and method for using any manner of sleep tracking system along with any manner of bedroom environmental control system or systems (light sources, sound machines, scent diffusers, etc) to aid a user in falling asleep and waking up.
[0007] One aspect of the present invention is 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 includes monitoring the subject using a sleep monitoring system to detect at least one parameter, the at least one parameter comprising presence, motion, respiration rate, pulse rate or SpO2. The method also includes analyzing the at least one parameter for changes to determine the subject’s sleep progression data. The method also includes transmitting the subject’s sleep progression data to an interface for a bedroom environmental control system. The method also includes modifying a bedroom environment based on the subject’s sleep progression data utilizing the bedroom environmental control system.
[0008] Another aspect of the present invention is 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 comprises a sleep monitoring sub-system and a bedroom environmental control subsystem. The sleep monitoring sub-system is configured to monitor the subject to detect at least one parameter, the at least one parameter comprising presence, motion, respiration rate, pulse rate or SpO2. The sleep monitoring sub-system is configured to analyze the at least one parameter for changes to determine the subject’s sleep progression data. 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. [0009] Yet another aspect of the present invention is a non-transitory computer-readable medium that stores a program that causes a processor to perform functions for adjusting a bedroom environment control as a subject falls asleep and/or as the subject wakes up using a sleep monitoring system by executing the following steps: monitoring the subject using a sleep monitoring system to detect at least one parameter, the at least one parameter comprising presence, motion, respiration rate, pulse rate or SpO2; analyzing the at least one parameter for changes to determine the subject’s sleep progression data; transmitting the subject’s sleep progression data to an interface for a bedroom environmental control system; and modifying a bedroom environment based on the subject’s sleep progression data utilizing the bedroom environmental control system.
Brief Description Of The Drawings
[00010] FIG. 1 is a block diagram of a system for adjusting a bedroom environment control as a subject falls asleep and/or as the subject wakes up using a sleep monitoring system.
[00011] FIG. 2 is a block diagram of a system for adjusting a bedroom environment control as a subject falls asleep and/or as the subject wakes up using a sleep monitoring system.
[00012] FIG. 3. is a flow chart for 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.
[00013] FIG. 4 is a block diagram of a sleep monitoring system.
[00014] FIG. 5 is a block diagram of a non-transitory computer- readable medium of the present invention. Best Mode(s) For Carrying Out The Invention
[00015] A system which ingests sleep information such as presence and vitals detection from any manner of sleep monitoring, processes this data using an algorithm, and uses this to output control signals or messages to another system or systems which control the environmental conditions of a bedroom in order to enhance the sleep and wake experience of a user.
[00016] An algorithm ingests the output of a sleep monitor system such as the output of the MIKU smart baby monitor. This data may be provided via an API, through a direct connection such as bluetooth, or may be integrated within the system itself. The sleep system provides information such as presence, motion, and vitals such as respiration rate, pulse rate, and/or SpO2. This information is monitored, and tracked for changes which indicate this user’s particular sleep progression such as entering different sleep stages.
[00017] An interface is then provided to the bedroom environmental control system such as to the Philips Hue lighting system. This interface may be provided via an API, through direct connection such as bluetooth, or may be integrated within the system itself. The system provides commands to the bedroom environmental control system such as “set lighting intensity to 25%” or “set lighting RGB to <255, 244, 229>.”
[00018] Sensors such as light, temperature and sound sensors could provide positive feedback to a learning algorithm for enhanced system performance and insights to potential user actions such as the purchase of blackout curtains, white noise machines, or heating/cooling systems.
[00019] Sleep metrics could be correlated with bedroom environment conditions in order to inform the user as to conditions which enhance their sleep patterns, make automated adjustments, or show improvements to sleep patterns over time.
[00020] A preferred example of a bedtime routine algorithm is as follows: monitor sleep monitor output presence and vitals state every k minutes for N days (for example, k=l minute, N=7 days); determine a bedtime b[n] and a sleep onset o[n] for each day n in N; compute a median bedtime and a sleep onset, b median and o median; for a given threshold b_median-o_median-T, configure light and sound for PRE BED STATE configuration state; T may be 20 minutes for example, and PRE BED STATE can be: {LIGHTS: 50% Intensity, SOUND: Cricket sounds}; Once bedtime has been observed, configure light and sound for ONSET STATE, for example {LIGHTS: 0% Intensity, SOUND: White Noise}; Once sleep is observed, configure light and sound for SLEEP STATE, for example {LIGHTS: 0% Intensity, SOUND: Silence}; and if it is observed the user wakes up during the night, WAKE STATE can be configured for example{LIGHTS: 5% Intensity, SOUND: Silence}.
[00021] A preferred example of a wakeup routine algorithm is as follows: monitor sleep monitor output presence and vitals state every k minutes for N days (for example, k=l minute, N=7 days); determine a waketime w[n] and a wake onset o[n] for each day n in N; compute a median bedtime and a sleep onset, b median and o median; For given threshold w_median-o_median-T, configure light and sound for PRE WAKE STATE configuration state. T may be 20 minutes for example, and PRE WAKE STATE can be:{ LIGHTS: 0% Intensity Sweep, SOUND:0%}; Once wake onset has been observed, configure light and sound for WAKE ONSET S TATE, for example {LIGHTS: 0-100% Intensity Sweep, SOUND: 0-100% Volume Bird Chirp}; and Once it is observed the user is awake, configure light and sound for WAKE STATE, for example {LIGHTS: 80% Intensity, SOUND: Light Music}.
[00022] A system 100 for adjusting a bedroom environment control as a subject 10 falls asleep and/or as the subject 10 wakes up using a sleep monitoring system 30 is shown in FIG. 1. A communication module 22 of a control system 20 communicates with the sleep monitor 30, and communicates with the bedroom environmental control system 40. A processor 24 executes the algorithms. A memory 26 stores the information from the sensors. Optional environmental sensors 28 monitor the output of the environmental control system and improve algorithm performance.
[00023] FIG. 2 shows a process 80 of the system 100 for adjusting a bedroom environment control. The process includes the sleep monitor system 30 communicating data 81 to the control system 20. The process also includes parsing and filtering 82 the data, using a long-term trend monitor 83 and a sleep state estimation and prediction model 84, and storing the data in memory 26. The process also includes using the sleep state estimation and prediction model 84 for environmental control 85 which then communicates 86 with bedroom environmental controls such as a lighting control 88 and/or a sound control 89. Optionally, sensors 87 can monitor the output of the environmental control 85.
[00024] In one embodiment, the sleep monitoring sub-system comprises a RGB imaging sensor, a radar, a processor, and a user interface. The RGB imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources. The radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject. The processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the RGB sensor to generate presence and vitals information for the living subject for communication to the user interface.
[00025] In another embodiment, the sleep monitoring sub-system comprises a monitoring device and an interface device. The monitoring device comprises an IR imaging sensor, a radar, a processor, and a first communication module. The interface device comprises a second communication module and a user interface module. The IR imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources. The radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject. The processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the IR imaging sensor to generate presence and vitals information for the living subject for communication to the interface device.
[00026] In another embodiment, the sleep monitoring sub-system comprises an IR imaging sensor, a radar, a processor, and a user interface. The IR imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources. The radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject. The processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the IR sensor to generate presence and vitals information for the living subject for communication to the user interface.
[00027] In another embodiment, as shown in FIG. 4, the sleep monitoring sub-system 50 comprises a monitoring device 60 and an interface device 70. The monitoring device 60 comprises a passive long wave infrared (“LWIR”) sensor 62, a radar 64, a processor 66, and a first communication module 68. The interface device 70 comprises a second communication module 72 and a user interface module 74. The LWIR sensor 62 is utilized to detect black-body radiation originating from a living subject 10. The radar 64 emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements caused by the living subject 10. The processor 66 is configured to run an algorithm to perform digital signal processing on data provided by the radar 64 and the LWIR sensor 62 to generate presence and vitals information for the living subject 10 for communication to the interface device 70. [00028] In another embodiment, the sleep monitoring sub-system comprises a passive long wave infrared (“LWIR”) sensor, a radar, a processor, and a user interface. The LWIR sensor is utilized to detect black-body radiation originating from a living subject. The radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements caused by the respiration and/or ballistocardiography from the living subject. The processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the LWIR sensor to generate presence and vitals information for the living subject for communication to the user interface.
[00029] In another embodiment, the sleep monitoring sub-system comprises a camera (such as a NANIT system), a processor, and a user interface.
[00030] In another embodiment, the sleep monitoring sub-system comprises a SpO2 monitor (such as an OWLET system), a processor, and a user interface.
[00031] A flow chart 90 for 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 is shown in FIG. 3. In step 91, a subject is monitored using a sleep monitoring system to detect at least one parameter. In step 92, the parameter is analyzed for changes to determine the subject’s sleep progression data. In step 92, the sleep progression data is transmitted to an interface of a bedroom environment control system. Utilizing the bedroom environmental control system, the bedroom environment is modified based on the subject’s sleep progression data in step 94.
[00032] A non-transitory computer-readable medium 125 is shown in FIG. 5. A program 124 is stored in the non-transitory computer-readable medium 125 that causes a processor 126 to perform functions for adjusting a bedroom environment control by executing defined steps 128. The execution of the defined steps 128 includes monitoring the subject using a sleep monitoring system to detect at least one parameter, analyzing the at least one parameter for changes to determine the subject’s sleep progression data, transmitting the subject’s sleep progression data to an interface for a bedroom environmental control system, and modifying a bedroom environment based on the subject’s sleep progression data utilizing the bedroom environmental control system.
[00033] The parameter preferably comprises presence, motion, respiration rate, pulse rate or SpO2.

Claims

CLAIMS We claim as our invention the following:
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 the subject using a sleep monitoring system to detect at least one parameter; analyzing the at least one parameter for changes to determine the subject’s sleep progression data; transmitting the subject’s sleep progression data to an interface for a bedroom environmental control system; and modifying a bedroom environment based on the subject’s sleep progression data utilizing the bedroom environmental control system.
2. The method according to claim 1 wherein the sleep monitoring system comprises: a passive long wave infrared (“LWIR”) sensor; a radar; a processor; and a user interface; wherein LWIR sensor is utilized to detect black-body radiation originating from a living subject; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements caused by the respiration and/or heart beat from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the LWIR sensor to generate presence and vitals information for the living subject for communication to the user interface.
3. The method according to claim 1 wherein the sleep monitoring system comprises: a monitoring device comprising a passive long wave infrared (“LWIR”) 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 LWIR sensor is utilized to detect black-body radiation originating from a living subject; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements caused by the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the LWIR sensor to generate presence and vitals information for the living subject for communication to the interface device.
4. The method according to claim 1 wherein the sleep monitoring system comprises: an IR imaging sensor: a radar; a processor; and a user interface; wherein the IR imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the IR sensor to generate presence and vitals information for the living subject for communication to the user interface.
5. The method according to claim 1 wherein the sleep monitoring system comprises: a monitoring device comprising an IR imaging 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 IR imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the IR imaging sensor to generate presence and vitals information for the living subject for communication to the interface device.
6. The method according to claim 1 wherein the sleep monitoring system comprises: a RGB imaging sensor; a radar; a processor; and a user interface; wherein the RGB imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the RGB sensor to generate presence and vitals information for the living subject for communication to the user interface.
7. The method according to claim 1 wherein the sleep monitoring system comprises: a monitoring device comprising a RGB imaging 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 RGB imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the RGB imaging sensor to generate presence and vitals information for the living subject for communication to the interface device.
8. 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.
9. The method according to claim 1 further comprising an API.
10. The method according to claim 1 wherein the at least one parameter comprises presence, motion, respiration rate, pulse rate or SpO2.
11. 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; and a bedroom environmental control sub-system; wherein the sleep monitoring sub-system is configured to monitor the subject to detect at least one parameter; wherein the sleep monitoring sub-system is configured to analyze the at least one parameter for changes to determine the subject’s sleep progression data; wherein the sleep monitoring sub-system is configured to transmit the subject’s sleep progression data to an interface for the bedroom environmental control system; and wherein the bedroom environmental control system is configured to modify a bedroom environment based on the subject’s sleep progression data.
12. The system according to claim 11 wherein the sleep monitoring sub-system comprises: a passive long wave infrared (“LWIR”) sensor; a radar; a processor; and a user interface; wherein LWIR sensor is utilized to detect black-body radiation originating from a living subject; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements caused by the respiration and/or heart beat from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the LWIR sensor to generate presence and vitals information for the living subject for communication to the user interface.
13. The system according to claim 11 wherein the sleep monitoring sub-system comprises: a monitoring device comprising a passive long wave infrared (“LWIR”) 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 LWIR sensor is utilized to detect black-body radiation originating from a living subject; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements caused by the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the LWIR sensor to generate presence and vitals information for the living subject for communication to the interface device.
14. The system according to claim 11 wherein the sleep monitoring sub-system comprises: an IR imaging sensor; a radar; a processor; and a user interface; wherein the IR imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the IR sensor to generate presence and vitals information for the living subject for communication to the user interface.
15. The system according to claim 11 wherein the sleep monitoring sub-system comprises: a monitoring device comprising an IR imaging 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 IR imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the IR imaging sensor to generate presence and vitals information for the living subject for communication to the interface device.
16. The system according to claim 11 wherein the sleep monitoring sub-system comprises: a RGB imaging sensor; a radar; a processor; and a user interface; wherein the RGB imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the RGB sensor to generate presence and vitals information for the living subject for communication to the user interface.
17. The system according to claim 11 wherein the sleep monitoring sub-system comprises: a monitoring device comprising a RGB imaging 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 RGB imaging sensor is utilized to detect light reflected by a living subject from ambient or controlled light sources; wherein the radar emits a radiofrequency at a specific frequency, and detects the frequency change of reflections of a plurality of targets which have subtle movements from the living subject; wherein the processor is configured to run an algorithm to perform digital signal processing on data provided by the radar and the RGB imaging sensor to generate presence and vitals information for the living subject for communication to the interface device.
18. The system according to claim 11 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.
19. The system according to claim 11 further comprising an API.
20. The system according to claim 11 wherein the at least one parameter comprises presence, motion, respiration rate, pulse rate or SpO2.
PCT/US2022/042515 2021-09-08 2022-09-02 System and method for controlling a bedroom environment control using a sleep tracking system WO2023038860A1 (en)

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Citations (3)

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Publication number Priority date Publication date Assignee Title
US20160151603A1 (en) * 2013-07-08 2016-06-02 Resmed Sensor Technologies Limited Methods and systems for sleep management
US20190205655A1 (en) * 2017-12-31 2019-07-04 Google Llc Infant monitoring system with video-based temperature baselining and elevated temperature detection
US20200265602A1 (en) * 2019-02-15 2020-08-20 Northeastern University Methods and systems for in-bed pose estimation

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160151603A1 (en) * 2013-07-08 2016-06-02 Resmed Sensor Technologies Limited Methods and systems for sleep management
US20190205655A1 (en) * 2017-12-31 2019-07-04 Google Llc Infant monitoring system with video-based temperature baselining and elevated temperature detection
US20200265602A1 (en) * 2019-02-15 2020-08-20 Northeastern University Methods and systems for in-bed pose estimation

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