Abstract: The present invention relates to sleepiness assessment. In order to provide a more accurate measure to predict OSA severity, an apparatus is provided for sleepiness assessment. The apparatus comprises an input unit, a processing unit, and an output unit. The input unit is configured to receive data indicative of an activity currently performed by a user. The processing unit is configured to determine, based on the activity currently performed by the user, a current situation the user is engaging in. The processing unit is configured to determine whether the current situation matches one of a plurality of pre-determined situations used for situational sleepiness assessment. In response to the determination that the current situation matches one of the plurality of predetermined situations, the processing unit is configured to send a notification to the user for a self-report of a user's current subjective sleepiness level and/or obtain a user's current objective sleepiness level from sensor data.

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: According to an aspect, there is provided a computer-implemented method of determining a change to be made to a behavior affecting sleep of a user, the method comprising receiving, from at least a first sensor (102) or via a user input, first behavior data (104) relating to a behavior of the user that is to be changed, wherein the behavior affects the user's sleep; receiving, from at least a second sensor (106) or via a user input, first sleep data (108) indicative of a quality of sleep experienced by the user; receiving user data (110) indicative of at least one physiological parameter relating to the user; and determining, based on the first behavior data (104), the first sleep data (108) and the user data (110), a behavior change program (120) including a change to be made to the behavior of the user and a duration and frequency of each of a plurality of intervals during which the behavior change is to be implemented by the user.