Systems and methods for monitoring a comfort level of an individual

1 . A method comprising:

generating, using one or more sensors, first data, the first data including (i) first environmental data related to an environment of a user and (ii) first physiological data associated with the user during a sleep session;

establishing a baseline for at least one metric in the first physiological data;

based at least in part on the first physiological data, determining a first comfort score associated with the user during the sleep session;

based at least in part on the environmental data, determining a second comfort score associated with the user during the sleep session, the first and second comfort scores being inversely proportional to an amount of deviation from the baseline and being indicative of a comfort level of the user during at least a portion of the sleep session;

determining a representative comfort score that represents the comfort level of the user by selecting one of the determined first comfort score or the determined second comfort score based at least in part on a comparison of the determined first comfort score and the determined second comfort score; and

based at least in part on the determined representative comfort score, adjusting a setting of one or more devices associated with the environment of the user.

2 . The method of claim 1 , wherein the setting of the one or more devices is stored in a profile of the user, wherein the adjusted setting of the one or more devices replaces a historical setting of the one or more devices in the profile of the user, and wherein the historical setting of the one or more devices is a default setting selected for the user based at least in part on historical sleep-session data associated with at least one person during one or more historical sleep sessions, the historical sleep-session data including historical physiological data associated with the at least one person and historical environmental data associated with the at least one person.

3 . The method of claim 2 , wherein the determining the first comfort score or determining the second comfort score includes:

determining the first comfort score using a machine learning model that takes as input the first physiological data and provides as output the first comfort score, wherein the machine learning model is trained using (i) the historical sleep-session data associated with the at least one person and (ii) historical comfort scores associated with the at least one person; and

successively training the machine learning model based at least in part on the generated first data, the determined first comfort score, or both.

4 . The method of claim 3 , wherein the successively trained machine learning model is used to determine latent preferences of the user, wherein the determined latent preferences include a room temperature being below a temperature threshold or the room temperature being above the temperature threshold, a room humidity being below a humidity threshold or the room humidity being above the humidity threshold, or any combination thereof.

5 . A method comprising:

generating physiological data associated with a user, the physiological data comprising one or more metrics;

determining a comfort score of a user based at least in part on the generated physiological data by:

establishing a baseline for each metric in the physiological data;

determining whether any of the metrics in the physiological data deviates a threshold amount from the established baselines; and

based on the any of the metrics deviating from the threshold amount, determining the comfort score, the comfort score being inversely proportional to an amount of deviation and being indicative of a comfort level of the user;

generating environmental data related to an environment of the user;

analyzing the environmental data to determine a relationship between one or more environmental parameters within the environmental data and the comfort score of the user, the one or more environmental parameters being controlled by one or more devices; and

adjusting one or more settings of the one or more devices based on the relationship to improve the comfort score of the user.

6 . The method of claim 5 , wherein the adjusting the one or more settings of the one or more devices involves adjusting a first set of devices in the one or more devices, the first set of devices being devices that are proximate to the user as determined by a proximity sensor.

7 . The method of claim 5 , wherein the adjusting the one or more settings of the one or more devices involves adjusting a second set of devices in the one or more devices, the second set of devices being devices that are identified in a user profile associated with the user.

8 . A system for improving or maintaining a comfort level of a user, comprising:

a sensor configured to generate first data, the first data including (i) first environmental data related to an environment of a user and (ii) first physiological data associated with the user during a sleep session;

one or more devices associated with the environment of the user;

a memory storing machine-readable instructions; and

a control system including one or more processors configured to execute the machine-readable instructions to:

establish a baseline for at least one metric in the first physiological data;

based at least in part on the first physiological data, determine a first comfort score associated with the user during the sleep session;

based at least in part on the environmental data, determine a second comfort score associated with the user during the sleep session, the first and second comfort scores being inversely proportional to an amount of deviation from the baseline and being indicative of a comfort level of the user during at least a portion of the sleep session;

determine a representative comfort score that represents the comfort level of the user by selecting one of the determined first comfort score or the determined second comfort score based at least in part on a comparison of the determined first comfort score and the determined second comfort score; and

based at least in part on the determined representative comfort score, adjust a setting of the one or more devices associated with the environment of the user.

9 . The system of claim 8 , wherein the sensor is further configured to generate second data including second environmental data and second physiological data, the second data being generated after the generating the first data, and wherein the control system is further configured to:

based at least in part on the second physiological data, update the representative comfort score associated with the user during the sleep session; and

based at least in part on the updated representative comfort score, further adjust the setting of the one or more devices.

10 . The system of claim 8 , further comprising:

a respiratory therapy device configured to supply pressurized air to an airway of the user by way of a user interface coupled to the respiratory therapy device via a conduit, and wherein the first environmental data includes data generated by one or more sensors of the respiratory therapy device,

wherein the control system is further configured to adjust a setting of the respiratory therapy device based at least in part on the determined representative comfort score.

11 . The system of claim 8 , wherein the one or more sensors includes a microphone, a video camera, an acoustic sensor, a radio frequency (RF) sensor, a photoplethysmogram (PPG) sensor, a piezoelectric sensor, a pressure sensor, a capacitive sensor, a force sensor, a strain gauge sensor, a galvanic sensor, a temperature sensor, a pulse sensor, an oximetry sensor, a LiDAR sensor, an electroencephalography (EEG) sensor, an electromyography (EMG) sensor, an electrooculography (EOG) sensor, an electrodermal sensor, an accelerometer, a light sensor, a humidity sensor, an air quality sensor, or any combination thereof.

12 . The system of claim 8 , wherein the one or more devices include a thermostat, an air conditioning system, a fan, a heater, a lighting system, a speaker, motorized blinds, a humidification system, a massage system, a vibration system, an adjustable bed frame, an adjustable pillow, an adjustable mattress, a bed temperature regulation system, an adjustable sheet or blanket system, or any combination thereof.

13 . The system of claim 8 , wherein the one or more devices include a door, curtains, or both.

14 . The system of claim 8 , wherein the adjust the setting includes adjusting a temperature setting for the environment of the user, a humidity setting for the environment of the user, a luminosity setting for the environment of the user, a humidification setting on a respiratory therapy device, a temperature setting of the respiratory therapy device, a pressure setting of the respiratory therapy device, a volume setting in the environment of the user to mask noise in the environment of the user, or any combination thereof.

15 . The system of claim 8 , wherein the adjust the setting is further based at least in part on a time of day, a season during a year, demographic data, user inputs, a duration of the sleep session, a point in time during the sleep session, a sleep state of the user, a sleep stage of the user, or any combination thereof.

16 . The system of claim 8 , wherein the control system is further configured to:

determine a status of wakefulness associated with the user, a status of fatigue associated with the user, health conditions associated with the user, health conditions associated with a bed partner of the user, health conditions associated with a pet of the user, or any combination thereof.

17 . The system of claim 8 , wherein the first environmental data includes a temperature of the environment of the user, a humidity of the environment of the user, a luminosity of the environment of the user, a noise level in the environment of the user, a noise pattern in the environment of the user, or any combination thereof.

18 . The system of claim 8 , wherein the first physiological data includes a respiration signal, a respiration rate, a respiration rate variability, an inspiration amplitude, an expiration amplitude, an inspiration-expiration ratio, a number of events per hour, a pattern of events, a duration of each of the events, a heart rate, a heart rate variability, a blood pressure, a blood pressure variability, movement of the user, pain experienced by user, sleep efficiency, therapy efficacy, a core temperature of the user, a sleep stage, apnea-hypopnea index (AHI), a duration of the sleep session that the user is on-therapy, a duration of the sleep session that the user is off-therapy, sleep onset, muscle tone, brain activity, skin conductance, or any combination thereof.

19 . The system of claim 8 , wherein the setting of the one or more devices is stored in a profile of the user,

wherein the adjusted setting of the one or more devices replaces a historical setting of the one or more devices in the profile of the user, and

wherein the historical setting of the one or more devices is a default setting selected for the user based at least in part on historical sleep-session data associated with at least one person during one or more historical sleep sessions, the historical sleep-session data including historical physiological data associated with the at least one person and historical environmental data associated with the at least one person.

20 . The system of claim 8 , wherein values for the first comfort score and the second comfort score are provided on a same scale and obtained from a look up table.