Sleep (system call)

About: Sleep (system call) is a research topic. Over the lifetime, 2633 publications have been published within this topic receiving 27806 citations. The topic is also known as: Sleep() & sleep().

Network event notification and delivery

Abstract: Described are a main host system of the client computer, and a network event notification system, including a networking subsystem that communicates with a network server to act as a proxy for the client computer when the main host system of the client computer is in a sleep state. The networking subsystem may await a synchronization packet initiated by the network server, or may occasionally poll the network server to determine whether data is available. To this end, the computing device operates an associated network subsystem while the main host system of the computing device is in a sleep state, and receives data via the network subsystem indicating that content is available to the computing device. Policy is then invoked policy to determine whether to wake at least part of the main host system to handle the content. A target duty cycle mechanism is also provided to control the average power consumption during wake and sleep cycling.

Sleeping hours: what is the ideal number and how does age impact this?

Abstract: The objective of this narrative review paper is to discuss about sleep duration needed across the lifespan. Sleep duration varies widely across the lifespan and shows an inverse relationship with age. Sleep duration recommendations issued by public health authorities are important for surveillance and help to inform the population of interventions, policies, and healthy sleep behaviors. However, the ideal amount of sleep required each night can vary between different individuals due to genetic factors and other reasons, and it is important to adapt our recommendations on a case-by-case basis. Sleep duration recommendations (public health approach) are well suited to provide guidance at the population-level standpoint, while advice at the individual level (eg, in clinic) should be individualized to the reality of each person. A generally valid assumption is that individuals obtain the right amount of sleep if they wake up feeling well rested and perform well during the day. Beyond sleep quantity, other important sleep characteristics should be considered such as sleep quality and sleep timing (bedtime and wake-up time). In conclusion, the important inter-individual variability in sleep needs across the life cycle implies that there is no "magic number" for the ideal duration of sleep. However, it is important to continue to promote sleep health for all. Sleep is not a waste of time and should receive the same level of attention as nutrition and exercise in the package for good health.

Device for and method of predicting a user's sleep state

Abstract: A device and a method for waking a user in a desired sleep state. The device may predict an occurrence when the user will be in the desired sleep state, such as light sleep, and wake the user during that predicted occurrence. In one embodiment, a user may set a wake-up time representing the latest possible time that the user would like to be awakened. The occurrence closest to the wake-up time when the user will be in light sleep may be predicted, thereby allowing the user to sleep as long as possible, while awakening in light sleep. To predict when the user will be in the desired sleep state, the user's sleep state may be monitored during the night or sleep experience and the monitored information may be used in predicting when the user will be in the desired sleep state.

Methods and systems for sleep management

Abstract: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.

Data-driven sleep coaching system

Abstract: System and method for a user to monitor and/or modify his or her sleep. In one embodiment, the sleep coaching system comprises a sensor for sensing a physiological signal of a sleeping user such as an EEG, computer memory databases for storing user and sleep-related data and advice, and a processor that generates a set of advice to improve user sleep satisfaction based on the user and sleep-related data. The advice to improve user sleep satisfaction, which may be communicated to the user, may comprise a sleep coaching plan, which may include one or more sleep coaching workshops that the user may undertake.