Systems and methods for insomnia screening and management

Abstract

A method includes receiving physiological data associated with a user during a sleep session. The method also includes determining a sleep-wake signal for the user during the sleep session based at least in part on the received physiological data. The method also includes determining one or more sleep-related parameters for the user during the sleep session based at least in part on the sleep-wake signal. The method also includes determining that the user experienced insomnia during the sleep session based at least in part on at least one of the one or more sleep-related parameters. The method also includes identifying a type for the insomnia experienced by the user based at least in part on the one or more sleep-related parameters.

1 - 54 . (canceled) 
     
     
         55 . A system comprising:
 one or more sensors configured to generate first physiological data associated with the user during a first sleep session;   a therapy system including:
 a respiratory device configured supply pressurized air; and 
 a user interface coupled to the respiratory device via a conduit, the user interface being configured to engage a portion of the user during the first sleep session to aid in directing the supplied pressurized air to an airway 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:
 determine, based at least in part on the physiological data, a sleep-wake signal for the user during the first sleep session; 
 determine, based at least in part on the sleep-wake signal, one or more sleep-related parameters for the user during the first sleep session; 
 determine, based at least in part on the one or more sleep-related parameters, that the user experienced insomnia during the first sleep session; and 
 responsive to the determining that the user experienced insomnia during the first sleep session, identify, based at least in part on the one or more sleep-related parameters, a type for the insomnia experienced by the user. 
   
     
     
         56 . The system of  claim 55 , wherein the one or more sensors includes a first sensor configured to generate at least a portion of the first physiological data, wherein the first sensor is coupled to or integrated in the therapy system. 
     
     
         57 . The system of  claim 55 , wherein the one or more sensors includes a first sensor configured to generate a first portion of the first physiological data and a second sensor configured to generate a second portion of the first physiological data. 
     
     
         58 . The system of  claim 57 , wherein the first sensor is coupled to or integrated in the respiratory device of the therapy system and the second sensor is coupled to or integrated in a user device. 
     
     
         59 . The system of  claim 58 , wherein the user device is a mobile device, a smart phone, a tablet, a laptop, a television, or a wearable device. 
     
     
         60 . The system of  claim 55 , wherein the control system is further configured to adjust one or more settings of the therapy system based at least in part on the determined type of insomnia. 
     
     
         61 . The system of  claim 60 , wherein the adjusting the one or more settings of the therapy system includes adjusting a pressure setting of the respiratory device. 
     
     
         62 . The system of  claim 61 , wherein the adjusting the pressure setting includes reducing the pressure setting, increasing the pressure setting, adjusting a pressure ramp up, or prolonging the delivery of pressurized air. 
     
     
         63 . The system of  claim 55 , wherein the sleep-wake signal is indicative of one or more sleep stages during the first sleep session, the one or more sleep stages including a wakefulness stage, a first non-REM stage, a second non-REM stage, a third non-REM stage, a REM stage, or any combination thereof. 
     
     
         64 . The system of  claim 55 , wherein the one or more sleep related parameters includes a total sleep time, a total time in bed, a go-to-sleep time, an initial sleep time, a sleep onset latency, a persistent sleep onset latency, a wake-after-sleep-onset parameter, a persistent wake-after-sleep-onset parameter, a sleep efficiency, a fragmentation index, or any combination thereof. 
     
     
         65 . The system of  claim 64 , wherein the sleep onset latency is determined as a function of the go-to-sleep time and the initial sleep time. 
     
     
         66 . The system of  claim 65 , wherein the identified type of insomnia is a sleep-onset insomnia and the identifying the type of insomnia includes determining that the sleep onset latency is equal to or greater than a predetermined threshold. 
     
     
         67 . The system of  claim 64 , wherein the type of insomnia is a sleep-maintenance insomnia and the identifying the type of insomnia includes determining that the wake-after-sleep-onset parameter is equal to or greater than a predetermined threshold or determining that the sleep efficiency is equal to or less than a predetermined threshold. 
     
     
         68 . The system of  claim 55 , wherein the control system is further configured to determine that the user experienced a different sleep-related disorder during the sleep session, wherein the different sleep-related disorder is a central apnea, an obstructive apnea, a mixed apnea, a hypopneas snoring, periodic limb movement, restless leg syndrome, choking, an increased heart rate, labored breathing, an asthma attack, an epileptic episode, a seizure, or any combination thereof. 
     
     
         69 . The system of  claim 55 , wherein the control system is further configured to receive personal data associated with the user and identifies the type of insomnia based at least in part on the personal data. 
     
     
         70 . The system of  claim 55 , wherein the control system is further configured to (i) determine a recommended action for the user based on the identified type of insomnia to aid in reducing or preventing insomnia symptoms in a second, subsequent sleep session and (ii) cause indicia indicative of the recommended action to be displayed on a display device, wherein the recommendation action includes a suggested bedtime, a suggested wake-up time, a suggested diet, a suggested exercise routine, a suggested sleep medication, a suggested relaxation program, a suggested masking noise, a suggested breathing program, a suggested bedroom activity change, or any combination thereof. 
     
     
         71 . The system of  claim 55 , wherein the one or more sensors are configured to generate (i) second physiological data associated with the user subsequent to the first sleep session and prior to the second sleep session and (ii) third physiological data associated with the user during a second sleep session. 
     
     
         72 . The system of  claim 71 , wherein the control system is further configured to (i) determine whether the user experienced insomnia by comparing at least one of the one or more sleep-related parameters to a predetermined threshold (ii) adjust the predetermined threshold to an adjusted threshold based at least in part on the second physiological data. 
     
     
         73 . The system of  claim 72 , wherein the control system is further configured to determine a second sleep-wake signal associated with the second sleep session based at least in part on the third physiological data, determine a second sleep-related parameter associated with the second sleep session based at least in part on the second sleep-wake signal, and determine whether the user experienced insomnia during the second sleep session based at least in part on the second sleep-related parameter. 
     
     
         74 . The system of  claim 73 , wherein the control system is further configured to determine whether the user experienced insomnia during the second sleep session by comparing the second sleep-related parameter to the adjusted threshold.