Abstract: A method and system for supplemental sleep detection is described. A system may receive data associated with a user from a wearable device worn by the user, and may detect a primary sleep period for the user based on the received data. The system may additionally detect a supplemental sleep period including a duration that exceeds a threshold duration based on the received data. In some implementations, the system may cause a graphical user interface (GUI) of a user device to display an indication of the detected supplemental sleep period, and may receive a confirmation of the supplemental sleep period via the user device and in response to the indication of the detected supplemental sleep period. The system may subsequently generate one or more insights associated with the user based on the primary sleep period and the supplemental sleep period and, in some implementations, in response to the confirmation.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and system for supplemental sleep detection is described. A system may receive data associated with a user from a wearable device worn by the user, and may detect a primary sleep period for the user based on the received data. The system may additionally detect a supplemental sleep period including a duration that exceeds a threshold duration based on the received data. In some implementations, the system may cause a graphical user interface (GUI) of a user device to display an indication of the detected supplemental sleep period, and may receive a confirmation of the supplemental sleep period via the user device and in response to the indication of the detected supplemental sleep period. The system may subsequently generate one or more insights associated with the user based on the primary sleep period and the supplemental sleep period and, in some implementations, in response to the confirmation.

Abstract: 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.

Abstract: 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.

Abstract: A method and a system for assessing readiness of a user, the method including obtaining the user's movements; using the obtained user's movements to determine a nature of the period, wherein the nature of the period is selected from an activity period and a rest period; measuring at least one biosignal of the user during the rest period; determining a rest summary for the rest period, based on the measured at least one biosignal and at least one biosignal of a previous rest period; determining an activity summary for the activity period, based on the obtained movements of an activity period and obtained movements of at least one previous activity period; determining a body response summary based on the rest summary and the activity summary; and calculating a readiness score based on the body response summary and a previous body response summary, whereby the readiness score indicates a level of readiness of the user.

Abstract: The present invention discusses a system and method for defining an optimal wakeup time with an alarm, which method takes into consideration at least two persons. Sleep monitoring devices, such as health rings or bed sensors, measure parameters of the sleepers, and a server determines sleeping phases from the measurement results. In that regard, skin temperature, heart rate and amount of motion can be tracked with the ring. The analysis combines at least two persons and sets rules so that no-one is preferably woken from a deep sleep phase. The determined alarm time is a given time period before the final alarm deadline. An optimal alarm time is calculated in the server, and the alarm is triggered in a mobile device, through the wearable ring, or by another alarming device or means.

Abstract: Disclosed is a method for monitoring activity of a subject and a monitoring device therefor. The method comprises, detecting the direction of the monitoring device with respect to a hand of a subject by measuring a signal of y-axis for a time ty and averaging the signal measured. The method further comprises, detecting the hand on which the subject carries the monitoring device by measuring a signal of the x-axis for a time tx and averaging the signal measured. The method also comprises, using the obtained information to optimise the activity monitoring, and further to determine a main axis of motion of the monitoring device and direction of the main axis of motion in order to improve recognition of the activity of the subject.

Abstract: The present invention discusses a system and method for defining an optimal wakeup time with an alarm, which method takes into consideration at least two persons. Sleep monitoring devices, such as health rings or bed sensors, measure parameters of the sleepers, and a server determines sleeping phases from the measurement results. In that regard, skin temperature, heart rate and amount of motion can be tracked with the ring. The analysis combines at least two persons and sets rules so that no-one is preferably woken from a deep sleep phase. The determined alarm time is a given time period before the final alarm deadline. An optimal alarm time is calculated in the server, and the alarm is triggered in a mobile device, through the wearable ring, or by another alarming device or means.

Abstract: A method and a system for assessing readiness of a user, the method including obtaining the user's movements; using the obtained user's movements to determine a nature of the period, wherein the nature of the period is selected from an activity period and a rest period; measuring at least one biosignal of the user during the rest period; determining a rest summary for the rest period, based on the measured at least one biosignal and at least one biosignal of a previous rest period; determining an activity summary for the activity period, based on the obtained movements of an activity period and obtained movements of at least one previous activity period; determining a body response summary based on the rest summary and the activity summary; and calculating a readiness score based on the body response summary and a previous body response summary, whereby the readiness score indicates a level of readiness of the user.

Abstract: Disclosed is a method for monitoring activity of a subject and a monitoring device therefor. The method comprises, detecting the direction of the monitoring device with respect to a hand of a subject by measuring a signal of y-axis for a time ty and averaging the signal measured. The method further comprises, detecting the hand on which the subject carries the monitoring device by measuring a signal of the x-axis for a time tx and averaging the signal measured. The method also comprises, using the obtained information to optimise the activity monitoring, and further to determine a main axis of motion of the monitoring device and direction of the main axis of motion in order to improve recognition of the activity of the subject.

Abstract: A network interface card for a measuring device and a manufacturing method thereof. The network interface card comprises a control unit for controlling the operation of the network interface card, and a line connection connected to the control unit for connecting the network interface card to a telecommunication network to be measured. The network interface card further comprises an internal control interface connected to the control unit for connecting the network interface card to an internal local bus of the measuring device and an external control interface connected to the control unit for connecting the network interface card to an external bus of the measuring device.

Abstract: A method for processing messages in a data processing device, a data processing device and a computer program product. The device comprises a data transmission unit and a processing unit configured to control the processing of the received data in the decoding stack based on the decoding of the received data performed in the decoding layers, the decoding stack comprising at least a lower decoding layer and an upper decoding layer. The processing unit is further configured to form the decoding stack such that at least one decoding layer comprises two or more decoding layers based on different protocols and at least one switching element, and is configured to detect a control command for controlling the processing of data in the decoding stack, and the switching element is configured to control the processing of data in the decoding stack on the basis of the detected control command.