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().

Sleep detecting apparatus

Abstract: Movement of a person in bed is detected without contacting the body, and time measurement is reset and started newly by a timer every time a detected movement exceeds a predetermined set value. When the measurement time of the timer exceeds a set time predetermined, it is judged that the body has fallen asleep on the bed. Meanwhile, absence or presence in bed and rough body movement are judged by detecting the fine body movement propagated by the functioning of heart and breathing of the body.

SleepSense: A Noncontact and Cost-Effective Sleep Monitoring System

Abstract: Quality of sleep is an important indicator of health and well being. Recent developments in the field of in-home sleep monitoring have the potential to enhance a person's sleeping experience and contribute to an overall sense of well being. Existing in-home sleep monitoring devices either fail to provide adequate sleep information or are obtrusive to use. To overcome these obstacles, a noncontact and cost-effective sleep monitoring system, named SleepSense, is proposed for continuous recognition of the sleep status, including on-bed movement, bed exit, and breathing section. SleepSense consists of three parts: a Doppler radar-based sensor, a robust automated radar demodulation module, and a sleep status recognition framework. Herein, several time-domain and frequency-domain features are extracted for the sleep recognition framework. A prototype of SleepSense is presented and evaluated using two sets of experiments. In the short-term controlled experiment, the SleepSense achieves an overall 95.1% accuracy rate in identifying various sleep status. In the 75-minute sleep study, SleepSense demonstrates wide usability in real life. The error rate for breathing rate extraction in this study is only 6.65%. These experimental results indicate that SleepSense is an effective and promising solution for in-home sleep monitoring.

Discriminating between an awake phase and a sleep phase of a patient in an active implantable medical device

Abstract: An active medical device having an improved discrimination between an awake phase of a patient and a sleep phase of a patient. This device measures a physiological parameter of a patient, delivers a physiological signal with a slow time response variation, in particular a signal of minute-ventilation (signal MV), and detects whether the patient is in a phase of awakening or sleep. An average (VE) of the signal MV is calculated over a given number of respiratory cycle and compared with a predetermined threshold (Threshold MV), such that a first state of awakening is determined when the average is higher than the threshold, and a first state of sleep is determined in the contrary case. The device also measures patient activity (signal G), using a signal having a short response time. The activity signal is compared with a predetermined threshold (Threshold G), and a second state of the patient is determined to be an awakening phase when the activity signal is higher than the threshold, and a sleep state in the contrary case. Detecting the phases of awakening and sleep also includes comparing the first state of awakening/sleep to the second state of awakening/sleep, and in the event of a discordance between these states, the response time of the physiological signal processing is modified, in particular by reducing the number of respiratory cycles over which the average MV signal (VE 128 , VE 64 ) is calculated.

Systems and methods for sleep monitoring

Abstract: Systems and methods for monitoring EEG signals include dry electrodes that can be used in sleep monitoring systems. In one aspect, a system for sleep stage monitoring and measurement includes a first dry electrode for detecting EEG signals of a user, a housing, and a sleep stage processor disposed within the housing. The first dry electrode is positioned at or near a head of the user. The sleep stage processor processes the EEG signals to determine a sleep stage of the user.