Each accessory device in a set of accessory devices may establish a respective communication link between the accessory device and an ear-wearable device. A particular accessory device in the set of accessory devices may receive data via the communication link between the particular accessory device and the ear-wearable device. The data comprise information generated based on sensor signals from sensors that monitor a user of the ear-wearable device. The accessory devices perform a health monitoring activity based on the data.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

A circadian rhythm entrainment platform can use medication circadian profiles that include mappings of medications to circadian rhythm disruptions and can make conversions of such circadian rhythm disruptions to administrations of light therapy to adjust for the disruptions. The circadian rhythm entrainment platform can specify how to entrain a patient's circadian rhythm using light therapy to compensate for or anticipate side effects of medications and for optimizing medication schedules for a patient's circadian rhythm so as to minimize side effects and increase medication effectiveness. The circadian rhythm entrainment platform can also gather information on the effects of medications on circadian rhythms and interact with patients, medical providers, and other providers in relation to light therapy.

A system and method for providing a context-based light and/or auditory stimulus experience to a user that includes administering dosages of light is disclosed. Environmental contextual data and/or personal (e.g., biometric and/or non-biometric) contextual data of a subject are obtained. Specific dosages of light are delivered to a subject based on the obtained environmental and/or personal contextual data. The dosages may be defined according to various parameters, including light wavelength, pulse frequency, intensity, area within the subject's field of vision, duration, pulse waveform shape, or a combination thereof. Auditory stimulus may also be provided, in synchronization with the administered dosages of light, and may be based on the obtained environmental and/or personal contextual data.

The present invention relates to an integrated sleep diagnosis and treatment device, and more particularly to an integrated apnea diagnosis and treatment device. The present invention additionally relates to method of sleep diagnosis and treatment.

The present invention provides a method of conducting a sleep analysis by collecting physiologic and kinetic data from a subject, preferably via a wireless in-home data acquisition system, while the subject attempts to sleep at home. The sleep analysis, including clinical and research sleep studies and cardiorespiratory studies, can be used in the diagnosis of sleeping disorders and other diseases or conditions with sleep signatures, such as Parkinson's, epilepsy, chronic heart failure, chronic obstructive pulmonary disorder, or other neurological, cardiac, pulmonary, or muscular disorders. The method of the present invention can also be used to determine if environmental factors at the subject's home are preventing restorative sleep.

To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios. In another implementation, the pipeline decomposes the physiological data into frequency-banded components, identifies brain states derived from the decomposed data—for example, clusters of correlations of decomposed data envelopes—grades the performance data, compares the graded performance data to the brain states, and identifies statistical relationships between the brain states and levels of performance.

An illustrative system includes a stimulation device configured to apply stimulation to a recipient, a sensing device configured to detect a physiological condition of the recipient, and a processing unit communicatively coupled to the stimulation device and the sensing device. The processing unit determines a stimulation strategy that is customized to the recipient and includes stimulation frames and stimulation gaps. The processing unit then directs the stimulation device to apply the stimulation to the recipient in accordance with the stimulation strategy by applying the stimulation only during time that corresponds to the stimulation frames. The processing unit also directs the sensing device to detect the physiological condition of the recipient in accordance with the stimulation strategy by detecting only during time that corresponds to the stimulation gaps. Based on the detected physiological condition, the processing unit performs an action. Corresponding systems, methods, and apparatuses are also disclosed.

A controllable window of time is provided for waking a user from sleep. A system uses this window to variably control the acquisition of physiological data from a device such as a wearable monitor, such as by initiating data acquisition at the beginning of the window, and the acquired data can be used in turn to control when, during the window, an active alarm to the user might be provided. Using this technique, data acquisition from a physiological monitoring device or the like can be increased around the onset of the window to more accurately calculate a suitable waking time for the user within the window. This advantageously avoids the need for continuous, high-frequency data communications during long intervals of sleep, and focuses data transmission, related communications, and computing resources on those intervals when up-to-date data might be most useful for optimizing the user's wake up experience.