Abstract: This disclosure pertains to a system configured to control light exposure for circadian phase management and/or light deficient disorders of a subject. The system comprises a user interface, physiological sensors configured to generate output signals conveying physiological data of the subject, and a light control valve configured to block or reduce blue light ambient radiation reaching eyes of the subject. Processors are in communication with the user interface, the physiological sensors, the light control valve, and radiation generators. The processors cause the system to receive physiological goals of the subject, determine a light control plan based on the physiological goals, the physiological data, environmental data, and time data. The system operates the light control valve to block or reduce blue light ambient radiation based on the light control plan, and generate, using the one or more radiation generators, therapeutic light radiation based on the light control plan.

Abstract: A system for delivering sensory stimulation comprises a sensor configured to measure brain activity information of a patient during a sleep session; a sensory stimulator configured to deliver sensory simulation to the patient during the sleep session; and a computer system. One or more physical processors are programmed with computer program instructions which, when executed cause the computer system to: determine a first stimulation profile, a second stimulation profile, or a combination stimulation profile thereof based on obtained sleep cycle information and/or obtained cognitive domain information; and provide input to the sensory stimulator based on the determined stimulation profile, the provided input causing the sensory stimulator to deliver the sensory simulations to the patient based on the determined stimulation profile during the detected slow wave sleep in the patient.

Abstract: The present disclosure pertains to a system and method for determining whether a subject is likely to be disturbed by therapy levels of stimulation provided to the subject during sleep sessions. The present system is configured to automatically identify sensitive users using electroencephalogram (EEG) information from a reference sleep session with or without stimulation. For reference sleep sessions without stimulation, the alpha activity in detected deep sleep is used to predict whether the subject is likely to be disturbed by therapy levels of stimulation. For reference sleep sessions with stimulation, the acute increase in EEG delta (e.g., 0.5-4 Hz) power and/or an arousability index are used to predict whether the subject is likely to be disturbed by therapy levels of stimulation.

Abstract: 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 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: Systems and methods for classifying breathing disorders of subjects are based on the respiratory response to a change in a pressure level of a pressurized flow of breathable gas. The change presents a breathing challenge to a subject. The challenge may be limited to the inspiratory breathing phase. The inspiratory pressure level may be lower than the expiratory pressure level during challenges.

Abstract: The present disclosure pertains to a reference slow wave activity metric determination system. Instead of collecting information during sleep sessions without stimulation (e.g., baseline and/or sham sessions) to determine a reference amount of slow wave activity in a subject, the present system is configured to build a model between stimulation properties and slow wave enhancement, and determine the reference amount of slow wave activity in the subject (e.g., corresponding to what would occur during baseline sleep and/or sham sessions) using the model. Advantageously, this approach does not require performance of baseline and/or sham sleep sessions, and enables personalization of the reference amount of slow wave activity, which dynamically increases its accuracy as more information is collected.

Abstract: Mouth-breathing can be detected in early phase expiration during respiratory treatments involving a pressure support device. In accordance with some embodiments, an output signal is received from a sensor that conveys information relating to one or more parameters of the pressurized flow of breathable gas as it is delivered to an air-way of a subject. Transitions are estimated between inspiratory phases and expiratory phases of respiration by the subject based on the one or more determined parameters. A local extreme is identified in a level of a first parameter during a given expiratory phase of respiration by the subject. The level of the first parameter is analyzed as a function of time within a sampling window to determine whether the subject is breathing by mouth during the given expiratory phase. The sampling window begins at or proximate to the identified local extreme in the level of the first parameter.

Abstract: The present disclosure pertains to a system and method for determining whether a subject is likely to be disturbed by therapy levels of stimulation provided to the subject during sleep sessions. The present system is configured to automatically identify sensitive users using electroencephalogram (EEG) information from a reference sleep session with or without stimulation. For reference sleep sessions without stimulation, the alpha activity in detected deep sleep is used to predict whether the subject is likely to be disturbed by therapy levels of stimulation. For reference sleep sessions with stimulation, the acute increase in EEG delta (e.g., 0.5-4 Hz) power and/or an arousability index are used to predict whether the subject is likely to be disturbed by therapy levels of stimulation.

Abstract: The present disclosure pertains to a system configured to adjust an intensity of sensory stimulation delivered to a subject during a sleep session based on sleep depth in the subject during the sleep session. The restorative value of sleep may be increased by enhancing sleep slow-waves using sensory stimulation. The stimulation may be applied at an appropriate timing and/or intensity to enhance sleep slow-waves to enhance slow-waves without disturbing sleep.

Abstract: A system for delivering sensory stimulation comprises a sensor configured to measure brain activity information of a patient during a sleep session; a sensory stimulator configured to deliver sensory simulation to the patient during the sleep session; and a computer system. One or more physical processors are programmed with computer program instructions which, when executed cause the computer system to: determine a first stimulation profile, a second stimulation profile, or a combination stimulation profile thereof based on obtained sleep cycle information and/or obtained cognitive domain information; and provide input to the sensory stimulator based on the determined stimulation profile, the provided input causing the sensory stimulator to deliver the sensory simulations to the patient based on the determined stimulation profile during the detected slow wave sleep in the patient.

Abstract: This disclosure pertains to a system configured to control light exposure for circadian phase management and/or light deficient disorders of a subject. The system comprises a user interface, physiological sensors configured to generate output signals conveying physiological data of the subject, and a light control valve configured to block or reduce blue light ambient radiation reaching eyes of the subject. Processors are in communication with the user interface, the physiological sensors, the light control valve, and radiation generators. The processors cause the system to receive physiological goals of the subject, determine a light control plan based on the physiological goals, the physiological data, environmental data, and time data. The system operates the light control valve to block or reduce blue light ambient radiation based on the light control plan, and generate, using the one or more radiation generators, therapeutic light radiation based on the light control plan.

Abstract: The present disclosure pertains to a reference slow wave activity metric determination system. Instead of collecting information during sleep sessions without stimulation (e.g., baseline and/or sham sessions) to determine a reference amount of slow wave activity in a subject, the present system is configured to build a model between stimulation properties and slow wave enhancement, and determine the reference amount of slow wave activity in the subject (e.g., corresponding to what would occur during baseline sleep and/or sham sessions) using the model. Advantageously, this approach does not require performance of baseline and/or sham sleep sessions, and enables personalization of the reference amount of slow wave activity, which dynamically increases its accuracy as more information is collected.

Abstract: The present disclosure pertains to a system configured to a system configured to detect slow waves based on adjusted slow wave detection criteria and time delivery of the sensory stimulation to correspond to slow waves detected based on the adjusted criteria. The system is configured to adjust slow wave detection criteria to enhance detection of slow waves in a subject. Slow wave detection using adjustable slow wave detection criteria produces more stimulation relative to prior art systems because more individual stimuli are provided if more slow waves are detected. In some embodiments, 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 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: Systems and methods for classifying breathing disorders of subjects are based on the respiratory response to a change in a pressure level of a pressurized flow of breathable gas. The change presents a breathing challenge to a subject. The challenge may be limited to the inspiratory breathing phase. The inspiratory pressure level may be lower than the expiratory pressure level during challenges.

Abstract: Systems and methods for classifying breathing disorders of subjects are based on the respiratory response to a change in a pressure level of a pressurized flow of breathable gas. The change presents a breathing challenge to a subject. The challenge may be limited to the inspiratory breathing phase. The inspiratory pressure level may be lower than the expiratory pressure level during challenges.

Abstract: The present disclosure pertains to a system configured to adjust an intensity of sensory stimulation delivered to a subject during a sleep session based on sleep depth in the subject during the sleep session. The restorative value of sleep may be increased by enhancing sleep slow-waves using sensory stimulation. The stimulation may be applied at an appropriate timing and/or intensity to enhance sleep slow-waves to enhance slow-waves without disturbing sleep.

Abstract: The present disclosure pertains to a system configured to a system configured to detect slow waves based on adjusted slow wave detection criteria and time delivery of the sensory stimulation to correspond to slow waves detected based on the adjusted criteria. The system is configured to adjust slow wave detection criteria to enhance detection of slow waves in a subject. Slow wave detection using adjustable slow wave detection criteria produces more stimulation relative to prior art systems because more individual stimuli are provided if more slow waves are detected. In some embodiments, the system includes one or more of a sensory stimulator, a sensor, a processor, electronic storage, a user interface, and/or other components.