Abstract: There is provided a method for detecting sleep disordered breathing (SDB-) events. The method comprises receiving an arousal signal representative of an occurrence of an autonomic arousal; receiving an SDB-signal representative of an occurrence of an SDB-event; and generating a confirmation signal representing confirming that the SDB-signal is representative of the occurrence of the SDB-event based on the arousal signal. Further there is provided a detecting device for detecting SDB-events. The detecting device comprises a sensor system; and a processing unit connected to the sensor system. The sensor system is configured to generate an arousal signal and is configured to generate an SDB-signal. The arousal signal is representative of an occurrence of an autonomic arousal. The SDB-signal is representative of an occurrence of an SDB-event. The processing unit is configured to perform the method for detecting sleep disordered breathing events.

Abstract: Systems, methods, and devices for determining a temporal duration of a rest period using motion data are described herein. In one exemplary embodiment, one or more data filters are applied to received motion data to generate one or more data sets of the motion data. The motion data represents an amount of activity experienced by an individual over the course of a period of time, such as one day. An iterative process is performed to identify a starting point and an ending point of a rest period using the generated data set(s). After the starting and ending points are identified, a temporal difference between the starting and ending points is calculated, and a total temporal duration of the rest period is determined.

Abstract: Systems, methods, and devices for determining a temporal duration of a rest period using motion data are described herein. In one exemplary embodiment, one or more data filters are applied to received motion data to generate one or more data sets of the motion data. The motion data represents an amount of activity experienced by an individual over the course of a period of time, such as one day. An iterative process is performed to identify a starting point and an ending point of a rest period using the generated data set(s). After the starting and ending points are identified, a temporal difference between the starting and ending points is calculated, and a total temporal duration of the rest period is determined.

Abstract: Systems, methods, and devices for determining a temporal duration of a rest period using motion data are described herein. In one exemplary embodiment, one or more data filters are applied to received motion data to generate one or more data sets of the motion data. The motion data represents an amount of activity experienced by an individual over the course of a period of time, such as one day. An iterative process is performed to identify a starting point and an ending point of a rest period using the generated data set(s). After the starting and ending points are identified, a temporal difference between the starting and ending points is calculated, and a total temporal duration of the rest period is determined.

Abstract: Use of mixtures comprising (A) at least one solvent with a flashpoint of at least 80° C., (B) at least one corrosion inhibitor which is liquid at room temperature, (C) at least one base selected from organic amines, ammonium hydroxides, and alkali metal hydroxides, (D) water, and (E) optionally one or more polyurethanes, for removing polyurethane from metal surfaces.