Abstract: The present disclosure pertains to a system configured to manage a sleep session of a subject. In some embodiments, the sleep session is a nap and the system is configured to increase the restorative value of the nap by enhancing and/or maintaining sleep slow waves (and/or slow wave activity estimated using an EEG) in the subject during the nap with sensory stimuli. The present system is configured to enhance restorative sleep during a nap by delivering sensory stimulation to the subject during lighter NREM sleep stages (e.g., during a portion of stage N2 sleep) while still avoiding arousals. In some embodiments, the system is configured to facilitate a “powernap” by delivering the sensory stimulation to the subject in such a way so as to prevent transition into deep sleep (e.g., stage N3 sleep).

Abstract: The present disclosure pertains to a system and method for determining and displaying a sleep restoration level of a subject for a target sleep session. In some embodiments, the system comprises one or more of a sensor, a processor, electronic storage, a user interface, and/or other components. As the subject sleeps, the system is configured to determine a metric indicating sleep need for the subject and then graphically display a sleep restoration level (a visual representation of the metric indicating sleep need) based on the determined sleep need metric. Instead of assuming common parameters for multiple users, the system is configured to determine the sleep need metric based on obtained baseline sleep parameters that have been determined individually for the subject based on one or more previous sleep sessions, a determined amount of slow wave activity in the subject during the target sleep session, and/or other information.

Abstract: The present disclosure pertains to a system that facilitates transitions between sleep states and/or stages during a sleep session of a subject. The system facilitates transitions between sleep states and/or stages by monitoring the brain activity of a subject and providing sensory stimulation to guide brain activity parameters into target ranges. The system includes one or more of a sensory stimulator, a sensor, a processor, electronic storage, a user interface, and/or other components.

Abstract: The present disclosure pertains to a system and method for delivering sensory stimulation to a user during a sleep session. The system comprises one or more sensors, one or more sensory stimulators, and one or more hardware processors. The processor(s) are configured to: determine one or more brain activity parameters indicative of sleep depth in the user based on output signals from the sensors; cause a neural network to indicate sleep stages predicted to occur at future times for the user during the sleep session; cause the sensory stimulator(s) to provide the sensory stimulation to the user based on the predicted sleep stages over time during the sleep session, and cause the sensory stimulator(s) to modulate a timing and/or intensity of the sensory stimulation based on the one or more brain activity parameters and values output from one or more intermediate layers of the neural network.

Abstract: The present disclosure pertains to a system configured to output an indicator representative of effects of stimulation provided to a subject during a sleep session. The indicator is determined based on a combination of the effect of stimulation on sleep restoration, stimulation quality, sleep architecture factors, and/or other information. The indicator is determined using age matched reference information on deep sleep duration and EEG slow wave activity. The contribution to the indicator associated with sleep architecture factors is determined based on age matched reference information including sleep onset latency, wake after sleep onset, total sleep time, micro-arousal count, sleep stage(s) prior to awakening, and/or other information.

Abstract: The present disclosure pertains to determining timing of stimulation provided to a subject during sleep. The system receives a raw signal carrying information related to slow wave activity; buffers a portion of the raw signal; determines a timing of slow wave events in the buffered portion of the raw signal; filters the raw signal; determines a timing of slow wave events in the filtered raw signal; compares the timing of the slow wave events in the buffered portion of the raw signal to the timing of the slow wave events in the filtered raw signal; determines a first correction factor associated with reducing slow wave activity in the subject and a second correction factor associated with enhancing slow wave activity in the subject; and adjusts a timing of the stimulation provided to the subject during the sleep session based on the first and/or second correction factors.

Abstract: The present disclosure pertains to a system configured to adjust a volume of auditory stimulation delivered to a subject during sleep. The system is configured to determine a deepening time indicative of a rate at which sleep of the subject deepens during the sleep session. The deepening time is determined based on (i) a ratio of power in a high frequency band of an EEG signal to power in a low frequency band, (ii) a density of slow waves, or (iii) a hypnogram, indicative of sleep depth in the subject during the sleep session. The system is configured to determine a rate of volume increase for auditory stimulation during a subsequent sleep session based on the deepening time; and control the one or more sensory stimulators to adjust the volume of auditory stimulation provided to the subject during the subsequent sleep session based on the determined rate of volume increase.

Abstract: The present disclosure pertains to a system and method for providing sensory stimulation (e.g., tones and/or other sensory stimulation) during sleep. The delivery of the sensory stimulation is timed based on a combination of output from a trained time dependent sleep stage model and output from minimally obtrusive sleep monitoring devices (e.g. actigraphy devices, radar devices, video actigraphy devices, an under mattress sensor, etc.). The present disclosure describes determining whether a user is in deep sleep based on this information and delivering sensory stimulation responsive to the user being in deep sleep. In some embodiments, the system comprises one or more sensory stimulators, one or more hardware processors, and/or other components.

Abstract: Systems and methods for providing sensory stimuli induce and/or enhance sleep and/or slow wave neural activity of a subject during sleep. Operation of the systems and methods is based on measured information related to cardiac attributes and/or respiratory attributes of the subject, and corresponding cardiac parameters and/or respiratory parameters based thereon. Attributes may be measured and/or monitored via one or more sensors, e.g. worn on an extremity of the subject and/or placed at a distance from the subject. Sensory stimulation delivered to the subject during specific targeted periods of sleep may enhance slow wave neural activity.

Abstract: The present disclosure pertains to a system configured to deliver sensory stimulation to a user to enhance a target cognitive domain during a sleep session. Example target cognitive domains include memory consolidation, vigilance, verbal fluency, sleepiness, and/or other target cognitive domains. The stimulation is adjusted based on the target cognitive domain to be enhanced. Responsive to one or more brain activity parameters indicating the user is in sufficiently deep sleep, the system is configured to cause one or more sensory stimulators to provide sensory stimulation to the user according to a stimulation strategy associated with the target cognitive domain. The system is configured to determine the effect of the sensory stimulation provided to the user using a quantification method associated with the stimulation strategy and the target cognitive domain. The system includes one or more sensory stimulators, one or more sensors, one or more hardware processors, and/or other components.

Abstract: The present disclosure pertains to a system configured to facilitate prediction of a sleep stage and intervention preparation in advance of the sleep stage's occurrence. The system comprises sensors configured to be placed on a subject and to generate output signals conveying information related to brain activity of the subject; and processors configured to: determine a sample representing the output signals with respect to a first time period of a sleep session; provide the sample to a prediction model at a first time of the sleep session to predict a sleep stage of the subject occurring around a second time; determine intervention information based on the prediction of the sleep stage, the intervention information indicating one or more stimulator parameters related to periheral stimulation; and cause one or more stimulators to provide the intervention to the subject around the second time of the sleep session.

Abstract: The present disclosure pertains to a system and method for determining sleep onset latency in a subject. The system is configured to generate output signals conveying information related to brain activity in the subject, determine sleep stages of the subject based on the output signals, determine a sleep onset moment in the subject based on the determined sleep stages, determine a sleep intention moment for the subject by: (i) detecting eye blinks in the subject based on the output signals, and determining the sleep intention moment responsive to the detected eye blinks ceasing for a predetermined period of time; and/or (ii) determining whether brain activity power in a target frequency band has breached a threshold power level based on the output signals, and determining the sleep intention moment responsive to a breach; and determine the sleep onset latency based on the sleep onset moment and the sleep intention moment.

Abstract: The present disclosure pertains to a system for enhancing knowledge consolidation in a subject during sleep. New declarative memories may be better consolidated by presenting sensory stimuli during slow wave sleep that correspond to sensory stimuli presented during prior wakeful learning. The sensory stimuli may include odors, sounds, visual stimulation, touches, tastes, and/or other types of sensory stimuli. The system is configured to provide a prompt sensory stimulus during slow wave sleep that corresponds to a wakeful stimulus provided during wakeful learning. The prompt sensory stimulus may prompt enhanced knowledge consolidation in the subject. In some embodiments, the system may comprise one or more of a slow wave sleep inducer, a sensory stimulator, a sensor, a processor, electronic storage, a user interface, and/or other components.

Abstract: A system configured to determine sleep need dissipation without monitoring brain activity during a sleep session. The system comprises a sensory stimulator configured to provide repetitive visual stimulation (RVS); a sensor configured to generate output signals conveying information related to brain activity; and one or more hardware processors configured to: before the sleep session, cause the one or more sensory stimulators to provide first RVS, and determine a first steady state visually evoked potential (SSVEP) response based on the output signals during the first RVS; and after the sleep session, cause the one or more sensory stimulators to provide second RVS, determine a second SSVEP response based on the output signals during the second RVS; compare the second SSVEP response to the first SSVEP response, and determine the sleep need dissipation for the sleep session based on the comparison.

Abstract: The invention relates to a method and an apparatus for the detection of the body position, especially while sleeping. More particularly, the invention relates to how the main body positions during sleep can be derived from the distribution of the reflection of a projected IR light from a subject's body under a blanket. Additionally, the breathing signals can be analyzed to determine the body posture.

Abstract: The present disclosure pertains to facilitating sleep improvement for a user. In a non-limiting embodiment, user data associated with a sleep session of a user is received from one or more sensors. Based on the user data, one or more sleep metrics associated with the sleep session are generated. One or more reference sleep metrics are determined based on prior user data obtained from one or more prior sleep sessions. One or more immediate values related to the sleep session is/are determined based on a comparison of the sleep metrics with the reference sleep metrics. A sleep session score value is generated based on the immediate values, and the sleep session score value and the sleep metrics are caused to be presented on via an output device.

Abstract: A system is configured to provide sensory stimuli to a subject at a first intensity level, determine the effectiveness of the provided sensory stimuli, and incrementally increase the intensity level of the sensory stimuli based on the determined effectiveness. The effectiveness determination and the corresponding intensity increase are repeated one or more times during a given slow wave sleep episode. The system is configured to continue the effectiveness determinations and the corresponding intensity increases during the slow wave sleep episode until the intensity level reaches a maximum level, until an arousal level of the subject breaches an arousal level threshold, and/or until expiration of the period of slow wave sleep.

Abstract: The present disclosure pertains to a system and method for managing a sleep session of a subject. Managing the sleep session is based on cardiac activity in the subject during the sleep session. Cardiac activity, as monitored via one or more sensors worn on an extremity of the subject and/or placed at a distance from the subject, is used to determine periods of slow wave sleep. Sensory stimulation is delivered to the subject during the periods of slow wave sleep to enhance slow wave activity. Wearing a sensor on an extremity, and/or placing a sensor at a distance from the subject during sleep, as opposed to the subject wearing an EEG cap, is more comfortable for the subject.

Abstract: Systems and methods to detect sleep stages of a subject analyze physiological parameters of the subject in combination with a subject's reactions to stimuli of increasing intensity and/or stimuli having different modalities. Stimuli are provided until a predetermined level of probability is reached for the accuracy of an estimation of the sleep stage of the subject.

Abstract: The invention relates to a method and an apparatus for the detection of the body position, especially while sleeping. More particularly, the invention relates to how the main body positions during sleep can be derived from the distribution of the reflection of a projected IR light from a subject's body under a blanket. Additionally, the breathing signals can be analyzed to determine the body posture.