Abstract: A planning system is provided for planning breast feeding or milk expression. An input receives first milk flow information from breast Schedule pumping sessions and second milk flow information from breast feeding sessions. The first and second milk flow information are processed to derive a input schedule, wherein the schedule specifies a combination of future breast pumping and breast feeding sessions. In this way, the system assists a mother in planning her milk production routine to best fit with her schedule as well as providing the best nutrition for the infant.

Abstract: Systems, apparatuses, and methods include technology to provide guidance to a patient receiving obstructive sleep apnea treatment. For example, such technology is configured to extract one or more features describing mobile apps usage based on one or more mobile apps logs from a mobile device. A personality type of the patient is determined based on processing the one or more features describing mobile apps usage. A treatment guidance for the patient is determined based on the personality type, where the treatment guidance comprises a first set of messages for the patient in response to a first personality type and a different second set of messages for the patient in response to a different second personality type. The treatment guidance for the patient is communicated to the mobile device associated with the patient receiving obstructive sleep apnea treatment.

Abstract: A method for generating sleep apnea information for a portion of body sensor data. The method of generating sleep apnea information is made dependent upon a determined presence or absence of arrhythmia within the portion of body sensor data. A first sleep apnea detection methodology is used in response to an absence of arrhythmia being detected within the portion of body sensor data.

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 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 a detection of physiological signals of cardiovascular systems. In particular, it relates to a system and method for more reliably evaluating a variation of a heart rate of a subject. The system comprises a photoplethysmography (PPG) signal providing unit (10); a motion signal providing unit (20); a motion determination unit (40) for determining a motion period during which motion identifiable in the motion signal corresponds to one of a plurality of predefined motion classes; a signal reliability determination unit (50) for determining a signal reliability of the PPG signal depending on a motion influence period, wherein the motion influence period comprises the motion period and a transition period following the motion period; and a heart rate variation determination unit (60) for determining the variation of the heart rate of the subject based on the signal reliability and on the PPG signal.

Abstract: A method for generating sleep apnea information for a portion of body sensor data. The method of generating sleep apnea information is made dependent upon a determined presence or absence of arrhythmia within the portion of body sensor data. A first sleep apnea detection methodology is used in response to an absence of arrhythmia being detected within the portion of body sensor data.

Abstract: A method and system for detecting sleep apnea involves determining the sleep stage, and detecting an apnea event based on a physiological sensor signal using selection of a detection algorithm which is dependent on the determined sleep stage. By taking account of the sleep stage when performing an automated apnea detection process, the accuracy of the apnea detection is improved.

Abstract: A method and system for the assessment of the risk of development of disseminated intravascular coagulation (DIC), in patients showing systemic inflammatory response syndrome (SIRS) or sepsis is disclosed. Specifically, the invention provides a method for early DIC assessment and preventive treatment planning, which has the potential for significantly decreasing mortality rate as well as the rate of DIC related sequelae in the SIRS/sepsis patient population and thereby improving quality of life. The risk assessment method is based on features of vital signs and/or biomarker measurements, and provides solutions for assessing the risk of DIC development 24 hours in advance or within 72 hours after ICU admittance.

Abstract: In an embodiment, an apparatus that estimates cardiorespiratory fitness of a subject using data provided by wearable sensors in a free-living environment based on a physical performance measure indicated by a ratio between a measure of mechanical work and a measure of a physiological response associated with the mechanical work.