Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, a biosignal parameter and ambient noise are measured. The biosignal parameter is used to determine sleep condition of a subject. The sleep condition is determined based on one or more of personalized sleep data or historical sleep data collected using a subset of society. Based on the sleep condition, an arousal threshold is determined. Based on the ambient noise and the determined sleep condition, one or more actions are taken to regulate sleep and avoid sleep disruption.

Techniques disclosed herein relate generally to alert management based on sleeping status. In some embodiments, the techniques involve obtaining user status data indicative of a sleeping status of a user of a medical device, and controlling alert generation and output associated with the medical device in accordance with the sleeping status of the user.

A method of treating a sleep disorder based on data and an apparatus for performing the method includes determining, by a sleep disorder treatment apparatus, sleep quality. The method and apparatus further includes determining, by the sleep disorder treatment apparatus, user compliance with a first recommended time in bed (R-TIB). The method an apparatus further includes determining, by the sleep disorder treatment apparatus, a second R-TIB on the basis of the sleep quality and the user compliance. The first R-TIB is a sleep time recommended to the user earlier, and the second R-TIB is a sleep time recommended to the user later.

A sleep onset determination method includes: detecting a light-out time that is a time at which illuminance in a room becomes less than or equal to a predetermined value; storing the light-out time detected in the detecting of the light-out time and a time period including the light-out time detected; and determining whether a user fell asleep at a currently detected light-out time, based on the light-out time and the time period stored in the storing of the light-out time.

A sleep state sensing method and a sleep state sensing system are provided. The sleep state sensing method includes: sensing a designated physiological state through an electronic device to generate a first physiological signal group and sensing the designated physiological state through a physiological signal sensing instrument to generate a second physiological signal group; calibrating the electronic device based on the first physiological signal group and the second physiological signal group such that the electronic device generates a third physiological signal group; and determining a sleep state through the third physiological signal group.

The invention relates to a device, a method, a computer program product and an application for establishing a current load level of a user. The device and the method comprise a mobile terminal, which comprises at least one sensor generating signal data and a plurality of available applications for use by the user and also an evaluation unit. According to the invention, provision is made for the mobile terminal to comprise an application, which is configured as further application and establishes a plurality of biometric data in respect of the user, at least from the signal data or from available applications used by the user, and to make said data available to the evaluation unit, and for the evaluation unit to determine the current load level of the user from the biometric data.

Methods, techniques, apparatuses, and systems for setting up and tracking sleep consistency goals of users are provided. In one example, a computing system for setting a sleep schedule of a user of a biometric monitoring device may obtain sleep data derived from sensor data generated by the biometric monitoring device, store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, and calculate a target bedtime based on a scheduled waketime of the user and a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store. The computing system may also be configured to provide a number of personalized user interfaces to an individual for the purposes of setting a sleep schedule. Such interfaces may include parameters that are tailored to the individual sleep needs and/or characteristics of the individual's sleep.

Systems and methods for patient monitoring and repositioning are provided. The system includes a mattress with a cell array and a base board array to receive the cell array. The cell array includes a plurality of individually height-adjustable cells each having sensor surface configured to sense at least one biomarker of the patient while lying on the mattress. The system also includes a main unit in communication with each cell of the cell array through the base board array. The main unit is configured to receive data from each of the cells, including measurements of the at least one biomarker, and independently control a height of each of the cells.

A method is disclosed for driving an emergency reaction system within a moving motor vehicle carrying at least one vehicle occupant. The method includes monitoring health conditions of the vehicle occupant. The method also includes determining whether the health conditions are below a critical threshold and, if so, continuing to monitor the health conditions of the vehicle occupant. If the health conditions exceed the critical threshold, an emergency alert is issued without waiting for the motor vehicle to stop, and an autonomous safe stop maneuver is performed if the motor vehicle is moving autonomously or includes an autonomous driving system and is allowed to operate automatically.

A system for remote transdermal alcohol monitoring includes and/or interfaces with a transdermal alcohol sensing device. Additionally or alternatively, the system can include and/or interface with any or all of: a user device; a supplementary alcohol sensing device; a set of supplementary sensors; a computing subsystem; a user interface; and/or any other components. A method for remote transdermal alcohol monitoring includes: receiving a set of inputs; determining a set of outputs; and triggering an action based on the set of outputs.