Abstract: A method of administering sleep consolidation therapy to a patient to treat a sleep disorder of the patient. The method includes monitoring, via a first number of sensors, a number of characteristics and/or activities of the patient during a number of wake periods of the patient. The method further includes determining, at least in-part from the monitoring of the number of wake periods, a recommended bedtime for the patient for starting a particular sleep period and providing the recommended bedtime for starting the particular sleep period to the patient.

Abstract: An apparatus and method for employing data from the person and from the environment where the person is situated facilitate the detection and prediction of severity of high altitude-induced Sleep Disordered Breathing (SDB, and specifically Central Sleep Apnea (CSA)). Longitudinal tracking of local barometric pressure and severity of SDB symptoms (objective or subjective or both) allow for prediction of occurrence of SDB (per altitude). Some of all of the data can be obtained from one or more wearable devices that may be worn by the person. Additionally, personalized mapping for dosing of medication (e.g. acetazolamide, low-flow oxygen therapy) to treat high altitude-induced SDB are provided, with recommended dosing provided to the person per altitude.

Abstract: A method of acclimating a patient to a therapy and a system for carrying out such method. The method includes providing the patient with an initial step of a therapy set up program for the patient to perform and determining at least one step metric. The at least one step metric determined is: a stress level of the patient while performing the initial step, successful completion of the initial step, the time needed to complete the initial step, and/or the quantity of errors made while carrying out the initial step. The method further includes determining a subsequent step for the patient to perform immediately after the initial step based on the at least one step metric and providing the patient with the subsequent step.

Abstract: The present disclosure pertains to a system and method for providing mandibular advancement and sleep positional therapy to a user for a sleep session. The system is formed by a mandibular advancement device for treating obstructive sleep disordered breathing (e.g., obstructive sleep apnea and snoring) that includes an electronics module configured to aid in sleep positional training. The present system and method facilitate advancing a lower jaw of the user into a protruding position relative to an upper jaw of the user to increase a size of an airway of the user, determining whether a posture of the user has breached a posture threshold, and, responsive to a breach, prompting the user to change posture such that the posture of the user no longer breaches the posture threshold.

Abstract: Described embodiments generally relate to a method for improving data accuracy of sleep pattern data. The method comprises receiving first data relating to at least one sleep pattern metric; receiving second data relating to the at least one sleep pattern metric, wherein the second data is data entered by a user; determining the difference between the first data and the second data to calculate a data infidelity value; and in response to the data infidelity value exceeding a predetermined threshold, prompting a user to enter third data relating to at least one metric.

Abstract: A system for obtaining and providing enhanced PAP metrics of a patient's sleep period includes: a pressure support device for use in providing a flow of breathing gas to the patient; a processing unit; and a number of auxiliary devices in wireless communication with the processing unit. Each auxiliary device of the number of auxiliary devices is structured to detect and collect sleep-related data of the patient. The processing unit is programmed to: receive data obtained by a number of sensors of the pressure support device during operation of the pressure support device in providing the flow of breathing gas to the patient; receive supplemental data obtained by the number of auxiliary devices while the pressure support device is not providing the flow of breathing gas to the patient; and determine the enhanced PAP metrics of the sleep period of the patient utilizing the data and the supplemental data.

Abstract: A method of managing and reducing the recall frequency of disturbing dreams comprises monitoring (100; 200; 300) electroencephalography (EEG) activity of a subject, detecting (102; 206; 302) an indicator of a disturbing dream of the subject based on power in a theta or alpha band of the EEG activity of the subject, and providing stimulation (104; 212; 308) to the subject at a frequency lower than the theta band in response to detecting the indicator of the disturbing dream.

Abstract: A system for obtaining and providing enhanced PAP metrics of a patient's sleep period includes: a pressure support device for use in providing a flow of breathing gas to the patient; a processing unit; and a number of auxiliary devices in wireless communication with the processing unit. Each auxiliary device of the number of auxiliary devices is structured to detect and collect sleep-related data of the patient. The processing unit is programmed to: receive data obtained by a number of sensors of the pressure support device during operation of the pressure support device in providing the flow of breathing gas to the patient; receive supplemental data obtained by the number of auxiliary devices while the pressure support device is not providing the flow of breathing gas to the patient; and determine the enhanced PAP metrics of the sleep period of the patient utilizing the data and the supplemental data.

Abstract: A pressure support device for providing pressure support therapy to a patient includes an airflow generator structured to generate pressure to provide pressure compensation to the patient via a patient circuit, one or more sensors structured to gather data related to effectiveness of the pressure compensation, and a processing unit structured to analyze outputs of the sensors while pressure support therapy is provided to the patient to determine if the pressure compensation provided to the patient is improper and to initiate action to confirm whether components of the patient circuit have been changed in response to determining that the pressure compensation provided to the patient is improper.

Abstract: The invention provides a computer-implemented method for controlling a dose titration of a medicament to be provided to a subject for treating obstructive sleep apnea. The method includes obtaining a dose level of a previous dose of the medicament, the previous dose having been provided to the subject and obtaining a medicament efficacy measure based on a response of the subject to the previous dose. A dose titration for a future dose of the medicament is determined based on the medicament efficacy measure and the dose level of the previous dose.

Abstract: An apparatus and method for employing data from the person and from the environment where the person is situated facilitate the detection and prediction of severity of high altitude-induced Sleep Disordered Breathing (SDB, and specifically Central Sleep Apnea (CSA)). Longitudinal tracking of local barometric pressure and severity of SDB symptoms (objective or subjective or both) allow for prediction of occurrence of SDB (per altitude). Some of all of the data can be obtained from one or more wearable devices that may be worn by the person. Additionally, personalized mapping for dosing of medication (e.g. acetazolamide, low-flow oxygen therapy) to treat high altitude-induced SDB are provided, with recommended dosing provided to the person per altitude.

Abstract: A method of providing personalized PAP therapy recommendations to a patient includes: receiving in a controller patient information obtained from one or more electronic devices associated with the patient; analyzing the patient information with the controller; determining in the controller from the analyzing of the patient information personalized PAP therapy recommendations for the patient; and providing the personalized PAP therapy recommendations to the patient.

Abstract: An apparatus and method for predicting the occurrence of sleep disorders and particularly insomnia, by long term monitoring of daily habits causing stress and sleep reactivity, and by coaching for correcting behaviors that can trigger the sleep disorder's occurrence and suggest interventions to mitigate the problem.

Abstract: A melatonin optimization system detects users' hormone sensitivity through sleep architecture monitoring and recommends a dose of melatonin personalized to each user in relation to the user's behaviors, needs and health conditions. Determining an optimized melatonin dose requires accurate prediction of non-intervention sleep onset latency for the upcoming sleep period so that the dose can be based on the difference between the user's desired sleep onset latency and the predicted non-intervention sleep onset latency. The system can use either a general population-based sleep onset latency prediction model or a machine learning model trained to be personalized for each user.

Abstract: A system and method for providing a recommendation of an insomnia therapy leverage various metrics including personal health profile, 24/7 biometrics, behavioral information, and environmental stressors to predict insomnia severity, to build a personalized severity and type insomnia therapy map ranked by historic therapy efficacy, to provide a contextualized personalized therapy recommendation, and to optimize the insomnia therapy.

Abstract: A method of optimizing treatment of a condition includes monitoring one or more characteristics of a patient associated with a condition of the patient, predicting a severity of the condition of the patient, recommending a selected therapy to the patient based on a therapy-severity map, evaluating an actual severity of the condition of the patient, evaluating an efficacy of the selected therapy, and updating the therapy-severity map based on the evaluated efficacy of the therapy.

Abstract: A mechanism for identifying orthosomnia, being the preoccupation with sensor-derived sleep measures or automated sleep analysis processes, within an individual. Interactions between the individual and a software application performing a sleep analysis process are monitored and used to generate a predictive indicator that indicates a likelihood that the individual has orthosomnia. This predictive indicator may be used to control the software application, and in particular, to control the display of information provided by the software application.

Abstract: A method for assisting a patient in avoiding obstructive sleep apnea (OSA) or for weaning from a PAP therapy includes: receiving in a controller health related data of the patient obtained from the patient by one or more electronic devices associated with the patient; analyzing the health related data with the controller; determining in the controller from the analyzing of the health related data, an OSA risk factor having a correlation to OSA severity in the patient; and providing the OSA risk factor to the patient.

Abstract: A pressure support device (4) for providing pressure support therapy to a patient includes a pressure generating system (6, 18) structured to generate pressure to provide pressure compensation to the patient via a patient circuit (12, 14), one or more sensors (22, 27, 28) structured to gather data indicative of disordered breathing events of the patient, and a processing unit (24) structured to control the pressure generating system to provide a pressure compensation regimen to the patient; to analyze outputs of the one or more sensors while pressure support therapy is provided to the patient to determine if the pressure compensation regimen provided to the patient is effective to relieve one or more disordered breathing events, and to output an alert if it is determined that the pressure compensation regimen provided to the patient is not effective in relieving the one or more disordered breathing events.

Abstract: The present disclosure pertains to systems and methods for modeling at least a sleep parameter for a subject. In some embodiments, a method for predicting at least a sleep parameter for a subject comprises: obtaining sleep and/or wake information related to a subject for a given period of time; estimating bedtime and/or wakeup time of the subject using a sleep model and the sleep and/or wake information; predicting at least a sleep parameter of the subject for an upcoming time interval based upon the sleep model and the estimated bedtime and/or wakeup time; obtaining physiological information of the subject; and adjusting the predicted sleep parameter for the upcoming time interval based upon the sleep model and the physiological information.