Abstract: The present invention relates to a device (10) for determining an arterial compliance of a subject (12). The device (10) comprises an inflatable cuff (14), a pressure sensor (18) which is configured to sense a pressure signal (52) that is indicative of a pressure within the cuff (14), a second sensor (20) which is at least partly integrated in the cuff (14) and configured to sense a second signal (56) that is responsive to expansions and contractions of the cuff (14) caused by a pulsating blood flow in an artery (50) of the subject (12), and a processing unit (22). The processing unit is configured to determine based on said part of the pressure signal (52) a pulse pressure of the subject (12), to determine based on said part of the second signal (56) an arterial volume change of the artery (50) of the subject (12) during at least one cardiac cycle, and to determine the arterial compliance of the subject (12) based on pulse pressure and the arterial volume change.

Abstract: The present disclosure pertains to systems and methods for encoding and/or decoding brain activity signals for data reduction. In a non-limiting embodiment, first user data associated with a first sleep session of a user is received. The first user data is determined to include at least a first instance of a first sleep feature being of a first data size. A first value representing the first instance during a first temporal interval is determined. First encoding data representing the first value is determine, the first encoding data being of a second data size that is less than the first data size. Second user data is generated by encoding the first user data using the first encoding data to represent the first instance in the second user data, and the second user data is stored.

Abstract: Methods and systems are provided for assisting a user of a wearable biosignal monitoring device (2) in adjusting the device to achieve optimum fit and positioning. The biosignal monitoring devices considered use integrated bio sensors (5) to monitor the user’s physiological activity for various purposes such as tracking daily activity patterns, determining mood, and monitoring sleep stages, among others. It is determined either during device setup or during primary use of the device whether the current fit and positioning of the device (2) enable the bio sensors (5) to properly sense the physiological signals needed for the device to perform its primary function. The user is then informed either after initial device setup whether adjustments need to be made in order to optimize device function during primary use, or is informed after primary use whether adjustments need to be made in order to improve device function during future primary use.

Abstract: The present invention relates to an agenda generation system (10), comprising: at least one first sensor unit (20); an input unit (30); a processing unit (40); and at least one output unit (50); wherein the at least one first sensor unit is configured to acquire physiological data of a subject over an extended period of time prior to a current time point and provide the physiological data to the processing unit, wherein the physiological data is assigned to different times during the extended period of time, and wherein the physiological data comprises one or more of: heart rate, ventricular high rate, blood pressure, respiration rate, skin conductance, step count; wherein the at least one first sensor unit is configured to acquire sleep data of the subject over the extended period of time and provide the sleep data to the processing unit, wherein the sleep data is assigned to different times during the extended period of time, and wherein the sleep data comprises one or more of: duration of sleep; total d

Abstract: A computer-implemented method (100) of producing a sleep evaluation for a user for use with a sleep therapy is disclosed. The method comprises, with a processor arrangement (12), receiving (122) a perceived value of a sleep parameter from the user, said sleep parameter corresponding to sleep behavior of said user at a point in time during said sleep therapy; receiving (124) sleep monitoring data from an electronic sleep monitor, said sleep monitoring data incorporating an objective value of said sleep parameter at said point in time; and, in case of the perceived value being different to the objective value, processing the sleep monitoring data such as to augment (132) said objective value into a further value of said sleep parameter to reduce the discrepancy between the perceived value and the objective value; and producing (134) a sleep evaluation output for the user comprising at least the further value of said sleep parameter.

Abstract: A system for guiding sleep restriction therapy is based on sleep data as well as medication data for a subject for a plurality of nightly sleep sessions. The sleep data and the medication data are processed to derive a target in-bed duration and to derive a target medication dose. A sleep restriction and medication recommendation are then output based on the target in-bed duration and the target medication dose. This system implements an improved sleep restriction therapy method that not only promotes the usual gradual increase of the allowed sleeping window, but also enables implementation of a gradual decrease of sleeping medication, which is beneficial for therapy adherence.

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 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: A method of determining a sleep phenotype of a subject includes defining a stimulus profile, defining a response profile, administering the stimulus profile to the subject, collecting response data of the subject in accordance with the response profile; comparing the response data to a set of reference data, and determining sleep phenotype based on the comparison of the response data to the reference data. The method is characterized by determining sleep phenotype based on measuring responses to administered stimuli rather than observing typical physiological data observed during periods of sleep.

Abstract: The present invention relates to circadian rhythm management. In order to improve circadian rhythm management, an apparatus is provided that uses an alternative exercise-based concept and personalized approach for managing or controlling personal circadian rhythm and optimizing sleep onset.

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: A system for delivering sensory stimulation comprises a sensor configured to measure autonomic nervous system activity information of a user during a sleep session; a sensory stimulator configured to deliver sensory simulation to the user during the sleep session; and a computer system. One or more physical processors of the computer system are programmed with computer program instructions which, when executed cause the computer system to: obtain the autonomic nervous system activity information of the user; determine parasympathetic nervous system information based on the obtained autonomic nervous system activity information of the user; and provide input to the sensory stimulator based on the determined parasympathetic nervous system information, the provided input causing the sensory stimulator to deliver the sensory stimulation to the user based on the determined parasympathetic nervous system information.

Abstract: A system for delivering sensory stimulation a sensor; a sensory stimulator configured to deliver sensory stimulation to a patient during a sleep session, the sensory stimulation having varying stimulation intensity levels; and a computer system. One or more physical processors being programmed with computer program instructions which, when executed cause the computer system to: determine sleep stage information of the patient based on brain activity information of the patient during the sleep session from the sensor; provide input to the sensory stimulator based on the determined sleep stage information of the patient, the provided input causing the sensory stimulator to deliver the sensory stimulation to the patient; obtain stimulation response information from the patient, the stimulation response information including patient brain response to the delivered sensory stimulation; and determine a range of the stimulation intensity levels within which the patient brain response reaches a threshold.

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 spindles in the subject during the sleep session. The system is configured to adjust the intensity of the stimulation based on a sleep spindle frequency and/or a sleep spindle density. The system is configured to determine a recent spindle density and/or a recent spindle frequency for a recent period of time during the sleep session based on detected sleep spindles, and to determine a previous spindle density and/or a previous spindle frequency for a previous period of time during the sleep session based on the detected sleep spindles. The system controls the intensity of sensory stimulation provided to the subject based on a comparison of the previous spindle density to the recent spindle density and/or the previous spindle frequency to the recent spindle frequency.

Abstract: The present disclosure describes a system configured to adjust the duration of individual sensory stimuli provided to a subject. The system is configured to determine a current amount of slow wave activity in the subject, responsive to the subject being presently in slow wave sleep, control one or more sensory stimulators to provide the individual sensory stimuli to the subject, determine habituation of the subject to the individual sensory stimuli and, responsive to the slow wave activity in the subject for a period of time following the providing of the individual sensory stimuli showing habituation, adjust the duration of the individual sensory stimuli.

Abstract: The present disclosure pertains to systems and methods for encoding and/or decoding brain activity signals for data reduction. In a non-limiting embodiment, first user data associated with a first sleep session of a user is received. The first user data is determined to include at least a first instance of a first sleep feature being of a first data size. A first value representing the first instance during a first temporal interval is determined. First encoding data representing the first value is determine, the first encoding data being of a second data size that is less than the first data size. Second user data is generated by encoding the first user data using the first encoding data to represent the first instance in the second user data, and the second user data is stored.

Abstract: The present disclosure pertains to a system configured to provide sensory stimulation to a subject during a sleep session. The system includes one or more sensory stimulators configured to provide sensory stimulation to the subject; one or more sensors configured to generate output signals conveying information related to brain activity of the subject; and one or more processors configured to detect individual slow waves in the subject; control the one or more sensory stimulators to provide sensory stimulation to the subject based on the detected individual slow waves; predict a timing for occurrence of a predicted slow wave based on the previously detected individual slow waves; and responsive to not detecting the predicted slow wave at the predicted timing control the one or more sensory stimulators to provide sensory stimulation at the predicted timing for occurrence of the predicted slow wave.

Abstract: In one embodiment, an apparatus (22) is presented that recognizes a user is driving and predicts a hypoglycemic event has reached a threshold probability of occurring based on one or more input parameters and alerts the user or activates a device based on the prediction.

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 application relates to a shaving guidance system (10) for guiding a user during a shaving procedure, the system comprising an image sensor (30) configured to register an image of a part of the body of the user, an image data analyzer (41) configured to determine a local hair-growth direction based on data in the image, a controller (40) configured to generate instructions about a direction in which a hair cutting device (20) is to be moved in dependence on the determined local hair-growth direction, and a feedback system (130) configured to provide the instructions to the user.