Showing papers on "Sleep (system call) published in 2010"

Method and system for managing a user's sleep

Abstract: A sleep management method and system for improving the quality of sleep of a user which monitors one or more objective parameters relevant to sleep quality of the user when in bed and receives from the user in waking hours via a portable device such as a mobile phone feedback from objective test data on cognitive and / or psychomotor performance.

Method and system for sleep monitoring, regulation and planning

Abstract: A method for operating a sleep phase actigraphy synchronized alarm clock that communicates with a remote sleep database, such as an internet server database, and compares user physiological parameters, sleep settings, and actigraphy data with a large database that may include data collected from a large number of other users with similar physiological parameters, sleep settings, and actigraphy data. The remote server may use “black box” analysis approach by running supervised learning algorithms to analyze the database, producing sleep phase correction data which can be uploaded to the alarm clock, and be used by the alarm clock to further improve its REM sleep phase prediction accuracy.

Sleep hygiene education: efficacy on sleep quality in working women.

Abstract: Background: Although sleep hygiene education represents a promising approach for patients with poor sleep quality, little research has been devoted in understanding the sleep hygiene behavior and knowledge of working women. Purpose: The purpose of this study was to investigate the efficacy of a short-term sleep hygiene education program on working women with poor sleep quality. Methods: This pilot study was a prospective and an exploratory intervention study. The intervention was tested on 37 selected working women with poor sleep quality in the community. The Pittsburgh Sleep Quality Index (score ＞ 5) was used to identify working women with poor sleep quality. After a pretest to assess sleep quality, researchers implemented a 5-week sleep hygiene education program that addressed good sleep environments/habits, emotional stress, the influence of diet/ alcohol/tobacco on sleep, exercise, and alternative therapies. Tests administered midway through the program and after program completion provided the data used to analyze effective sleep quality changes. Results: Results showed sleep hygiene education to improve participant sleep quality significantly (p＜.001). The sleep quality of all participants improved over both the 3-and the 5-week education program. The six components of the Pittsburgh Sleep Quality Index (i.e., subjective sleep quality, sleep latency, sleep duration, sleep disturbances, use of sleeping medication, and daytime dysfunction) also improved. Conclusion/Implications for Practice: A brief and effective sleep hygiene education program delivered by a nurse can improve sleep quality in working women with sleeping problems.

Method and system for providing behavioural therapy for insomnia

Abstract: The disclosed system and method provide for the automatic assessment of the presence/severity of the sleep problem and its exact nature. The assessment is based on qualitative information about sleep patterns, insomnia-related factors and daytime consequences, as well as quantitative information about sleep patterns measured by a sensor. By combining the different sources of information (subjective as well as objective data), the diagnosis gives more insight into the nature of the sleep problem and is therefore more accurate. Furthermore, the disclosed system may be used to select specific components of the system that are medically relevant to the individual and therefore create a personalized program. The system teaches a selection of self- management skills that could help the individual to better cope with sleep disturbances and target those factors that maintain the problem or make it worse by a particular individual.

Memory power reduction in a sleep state

Abstract: A data processing system that uses memory power reduction in a sleep state. The system can include a volatile memory and at least one data input peripheral and a logic circuit that is configured to manage power consumption of the data processing system for a sleep of the system. The logic circuit can be coupled to the volatile memory and can be configured to turn off power to the volatile memory in response to an event, occurring during the sleep state, but to otherwise remain in the sleep state. The sleep state can be an ACPI complaint S3 sleep state in which the volatile memory, such as DRAM, is powered off after a period of user inactivity during the S3 sleep state.

Prediction of Probabilistic Sleep Distributions Following Travel Across Multiple Time Zones

Abstract: THE CURRENT GENERATION OF BIOMATHEMATICAL MODELS OF SLEEP AND PERFORMANCE ARE BROADLY BASED ON THE PHYSIOLOGICAL PRINCIPLES represented in the two-process model of sleep regulation.1,2 In accordance, the structure and timing of the sleep/wake cycle is regulated by the interaction of two basic physiological processes: (1) a homeostatic process, that minimizes deviations from a basal quantity of sleep required for optimal neurobehavioral functioning; and (2) a light-sensitive circadian process, that determines oscillations in the propensity for sleep. The two-process model was originally conceived as an investigative tool—serving to generate and test hypotheses about the physiological mechanisms that regulate the sleep-wake cycle.3 Elaborated versions have since been developed to account for nonlinear interactions between the homeostatic and circadian processes,4 ultradian dynamics of electroencephalograph (EEG) slow wave activity,5,6 photic entrainment of the circadian pacemaker,7,8 and regulation of alertness during wake.9,10 In conjunction with these developments, researchers have also extended the scope of their models to predict the performance impairment (or fatigue) that arises in connection with sleep loss and circadian disruption in industrial shiftwork settings. The characteristic elements of two major types of biomathematical models that have been developed for use in field-based settings are depicted in Figure 1. One-step models, shown in the left panel, estimate fatigue based on user-inputted work and sleep times.11,12 The need to input observed sleep times limits the utility of one-step models to post hoc analyses or to highly specialized populations in which sleep times can be monitored continuously. To overcome this restriction, 2-step models, shown in the right panel, incorporate intermediary algorithms to estimate sleep times—thus allowing fatigue levels to be estimated on the basis of work schedule inputs alone.13–15 Obtaining good estimates of sleep is critical to the utility of all 2-step model simulations. Predictive errors have the potential to prejudice subsequent estimates of fatigue and may compound across successive iterations where simulations require recursive input of previously estimated values. Figure 1 One-step and 2-step biomathematical models of human fatigue and performance. Continuous lines represent the passing of known values, while broken lines, the passing of estimated values. One-step models, represented on the left-side panel, generate outputs ... Models describing the physiological processes contributing to sleep and wakefulness have been developed based on data collected in experimental protocols. In view of this heritage, the predictions made by these models correspond remarkably well with sleep times observed in laboratory conditions.2,5,12,16 Sleep homeostasis and circadian rhythmicity also exert control on sleep timing and duration in naturalistic settings, but may be subject to mediation by social factors and rational decisions.17,18 Individuals may adjust the timing of sleep-wake cycles in response to non-work social zeitgebers,19–21 and therein bias exposure to light-dark conditions. The time course of sleep homeostasis may be mediated by decisions to abstain from, or otherwise restrict, sleep in view of social activities.22 Employees may also adopt anticipatory, as opposed to reactionary, sleep strategies as a means of balancing work and social commitments.23 These decisions are usually concomitant with the use of volitional countermeasures such as alarm clocks, stimulants, and social interaction. Field-based studies conducted in the aviation industry indicate that most pilots adjust the timing of main sleeps in accordance with local zeitgebers during international layovers, independent of flight direction or the number of time zones crossed.24–29 Only a minority are reported to maintain a sleep/wake cycle in phase with the domicile time zone while resting in an alternate time zone.24–29 Pilots often facilitate these strategies by initiating short recovery and/or anticipatory sleeps around arrival and departure times.25–28 The consistency of these observed sleep/wake patterns cannot be explained solely on the basis of sleep physiology—especially given that circadian adaptation to local zeitgebers is not instantaneous. Thus, it is our premise that strategic decisions, motivated by duty schedule constraints, local social and geophysical zeitgebers, and sleep physiology, are the main drivers of the sleep/wake cycles exhibited by pilots during layovers. The primary aim of this study was to parameterize and validate a general model to estimate average sleep times for long-haul aviation pilots during layovers of international flight and duty patterns. The intention was to parameterize equations that could be incorporated into any 2-step biomathematical model of human fatigue and performance. To this end, the predictors were restricted to prospective variables that could be obtained or estimated from flight and duty schedules or on the basis of previous empirical research. However, in contrast to the traditional deterministic biological models of sleep, our objective was to model the probability of an individual being asleep within a given time period. This objective is consistent with our premise that volitional decision-making processes influence sleep timing and duration.

Sensor network system and communication method thereof

Abstract: Provided are a communication method and system for sensor network In reporting event occurrence in a real-time sensor network application, a cycle time is divided into an event announcement period and a data transmission period to provide real-time transmission performance and energy efficiency Each of the periods is again divided into the number of slots equal to the maximum depth of a network Respective nodes sequentially operate according to their depths in a routing tree during the event announcement period to receive the signal transmitted from the lower node To remove sleep delay, a slot next to the signal reception slot becomes a signal transmission slot A node sensed an event transmits a signal informing event occurrence during its signal transmission slot, and this signal includes only the address of the transmission node When a signal does not exist in the event announcement period, no traffic occurs in the data transmission period and the upper nodes maintain a sleep state When a signal is transmitted during the event announcement period, nodes transmitting/receiving a corresponding signal operate during the data transmission period to transfer data packets

Method and apparatus of sleep mode operation

Abstract: Disclosed herein relates to a sleep mode operation method, and the sleep mode operation method according to the present invention may include transmitting a sleep request message for requesting sleep mode switching to a base station; receiving a sleep operating parameter including a sleep cycle and a listening window from the base station; referring to the sleep operating parameter to switch to a sleep mode; receiving a traffic indication message indicating that traffic is generated from the base station; receiving traffic from the base station during the listening window while at the same time operating a timer; and early terminating the listening window to enter into a sleep window if the timer operation is expired according to the traffic reception prior to terminating the listening window.

In-Band Sleep Protocol for Embedded Bus

Abstract: A sleep protocol is provided for controlling sleep mode in a device having a receive port and a transmit port. A location is established in a map of locations in the device as a sleep/wake control location. When the device receives a command to store a sleep value in the sleep/wake control location, this indicates there is no pending traffic for the receive port. When the device also determines that there is no pending traffic on the transmit port, then the device may enter a low power sleep mode. When the device receives a command to store a wake value in the sleep/wake control location to indicate pending traffic for the receive port, it awakens from sleep mode and responds to the wake command with a reply command to indicate the receive port is ready to receive the pending traffic.

How well do pilots sleep during long-haul flights?

Abstract: It is imperative that shiftworkers in safety-critical workplaces obtain sufficient sleep to operate effectively. This presents a challenge to long-haul airline pilots who are required to supplement normal bed sleep with sleep on-board an aircraft during flight. In the current study, the sleep/wake behaviour of 301 airline pilots operating long-haul flight patterns was monitored for at least 2 weeks using self-report sleep diaries and wrist activity monitors. The data indicate that sleep opportunities in on-board rest facilities during long-haul flights result in a similar amount of sleep, but only 70% as much recovery, as duration-matched bed sleeps.

Dynamic sleep time control in wireless sensor networks

Abstract: Idle listening is a major source of energy waste in wireless sensor networks. It can be reduced through Low-Power Listening (LPL) techniques in which a node is allowed to sleep for a significant amount of time. In contrast to conventional fixed sleep time policies, we introduce a novel dynamic sleep time control approach that further reduces control packet energy waste by utilizing known data traffic statistics. We propose two distinct approaches to dynamically compute the sleep time, depending on the objectives and constraints of the network. The first approach provides a dynamic sleep time policy that guarantees a specified average delay at the sender node resulting from packets waiting for the end of a sleep interval at the receiver. The second approach determines the optimal policy that minimizes total energy consumed. In the case where data traffic statistics are unknown, we propose an adaptive learning algorithm to estimate them online and develop corresponding sleep time computation algorithms. Simulation results are included to illustrate the use of dynamic sleep time control and to demonstrate how it dominates fixed sleep time methods. An implementation of our approach on a commercial sensor node supports the computational feasibility of the proposed approach.

Updating method and apparatus of sleep mode operation

Abstract: Disclosed herein relates to a sleep mode operation method, and the method of updating a sleep mode operation according to the present invention may include receiving a service flow configuration request (DSx-REQ) message comprising a service flow parameter for service flow configuration and a sleep cycle ID (SCID) for sleep mode change according to the service flow configuration from a base station during a sleep mode listening window; transmitting a service flow configuration response (DSx-RSP) message comprising the SCID; and configuring the service flow according to the service flow identifier, and changing a SCID to the SCID to update the sleep mode operation.

Apparatus and method for maximum power saving in sleep mode

Abstract: An apparatus and method for an improved sleep mode in a mobile terminal are provided The apparatus includes a transceiver for communicating with a base station, a modem for modulating and demodulating signals for transmission via the transceiver or received via the transceiver, and a controller for controlling a sleep cycle of the mobile terminal, the sleep cycle including a listening window and a sleep window The controller controls the sleep cycle based on an Advanced Mobile Station (AMS) timer, a Hybrid Repeat Request (HARQ) Downlink (DL) Retransmission timer, a HARQ DL Gap timer, and a HARQ Uplink (UL) Gap timer

Apparatus and method for operating sleep mode

Abstract: Disclosed herein relates to a sleep mode operation method, including transmitting a sleep mode request message including a sleep cycle information for entering into the sleep mode to a base station; receiving a sleep mode response message including a sleep mode operating parameter from the base station; changing the state to the sleep mode referring to the sleep mode operating parameter; receiving a traffic indication message including a positive traffic indicator from the base station; and adjusting to a current sleep cycle according to the sleep cycle information included in the sleep mode request message; wherein the sleep cycle information is an information indicating to extend a current sleep cycle to the small value of twice the previous sleep cycle and a final sleep cycle or to reset the current sleep cycle to an initial sleep cycle or a new initialized sleep cycle.

Method and apparatus for assessment of sleep disorders

Abstract: Embodiments provide systems, methods and apparatuses for monitoring the sleep of a subject in a home environment. In embodiments, load cells placed under bed supports may be coupled to a computing device that may process the load cell data to detect disordered breathing. In some embodiments, a computing device may apply a pattern recognition algorithm to load cell data to distinguish between normal movements and movements associated with a sleep disorder. In an embodiment, apparatuses and methods for monitoring sleep may perform functions associated with detection of sleep disturbances and/or identify a sleep disorder.

Method and apparatus for controlling sleep mode operation in a communication system

Abstract: A method and apparatus for controlling a sleep mode operation of a Mobile Station (MS) in a communication system, in which the sleep mode operates according to a sleep cycle including a listening window corresponding to an awake mode and a sleep window corresponding to a sleep state. The method includes starting a preset timer if there is a transmission of data between the MS and a Base Station (BS) during the listening window, restarting the timer upon receiving at least one of UpLink (UL) data, DownLink (DL) data and MAP Information Element (IE) indicating resource allocation from the BS during the listening window, maintaining the listening window until the timer expires, and transitioning to the sleep window if the timer expires.

Entrance information system and method for issuing entrance instructions for a sleeping room by an entrance information system

Abstract: The present invention relates to an entrance information system and a method for operating an entrance information system issuing an entrance instruction for a sleeping room in dependence of a sleeping signal from a sleep detector detecting the sleep stage of a person inside the sleeping room.

Network detection device power conservation

Abstract: Methods and devices for determining intervals between mobile device network searches use measured signal power as lookup criteria to obtain a predefined “sleep” duration from a sleep duration data structure. When a network connection is lost the mobile device may compare received signal power to criteria in a data table to determine an appropriate sleep duration during which the receiver is de-energized to conserve battery power. The sleep durations vs. signal power may be predefined to provide performance as good as other sleep duration determining algorithms while providing flexibility for matching network coverage characteristics. An appropriate sleep duration data table for use may be determined based upon device location or user inputs. At the end of a sleep interval, received signal power may be compared to a threshold to determine whether the receiver should return to sleep mode or attempt a network connection.

Sleep management system for many people, and sleep management method for many people

Abstract: PROBLEM TO BE SOLVED: To provide a sleep management system for many people, and a sleep management method for many people, performing centralized management of sleep analysis information of many users. SOLUTION: The system comprises a terminal 3 to receive biological sleep information detected by a biological information sensor 1, and transmit the biological sleep information, and a server 4 to receive the biological sleep information transmitted from the terminal 3. The server 4 comprises a receiving part 40 to receive the biological sleep information transmitted from the terminal 3, a sleep analysis part 41 to determine sleep analysis information by analyzing sleep states based on the biological sleep information received, a storage part 42 to store the sleep analysis information, a transmission part 43 to transmit the sleep analysis information to the terminal 3 or a registered device, and a registration part 48 to register the terminal 3. The terminal 3 has identification information to be accessible to the server 4 through the Internet, and is portable. COPYRIGHT: (C)2010,JPO&INPIT

Electronic cycle counter

Abstract: A monitor for maintaining a mold cycle count with an actuator sending a count signal to a processor following a mold operation. The monitor further includes a timer having an active mode and a sleep mode. The processor generates an average cycle time and an activity percentage of the mold taking into account active and sleep periods of the mold.

Automated sleep quality measurement using EEG signal: first step towards a domain specific music recommendation system

Abstract: With the rapid pace of modern life, millions of people suffer from sleep problems. Music therapy, as a non-medication approach to mitigating sleep problems, has attracted increasing attention recently. However the adaptability of music therapy is limited by the time consuming task of choosing suitable music for users. Inspired by this observation, we discuss the concept of a domain specific music recommendation system, which automatically recommends music for users according to their sleep quality. The proposed system requires multidisciplinary efforts including automated sleep quality measurement and content-based music similarity measure. As a first step, we focus on the automated sleep quality measurement in this paper. An EEG-based approach is proposed to measure user's sleep quality. The advantages of our approach over standard Polysomnography (PSG) method are: 1) it measures sleep quality by recognizing three sleep categories rather than six sleep stages, thus higher accuracy can be expected; 2) three sleep categories are recognized by analyzing Electroencephalography (EEG) signal only, so the user experience is improved because he is attached with fewer sensors during sleep. We conduct experiments based on a standard data set. Our approach achieves high accuracy and shows promising potential for the music recommendation system.

Non-invasive sensors based human state in nightlong sleep analysis for home-care

Abstract: In this paper we present methodology used in a non-invasive, easy-to-use and low-cost monitoring system for nightlong human sleep quantification. Our system uses simultaneous measurement of three different signals representing the activity of the human body: infrared video-recorded subject motion, audio-recorded acoustic effects and the three-leads electrocardiogram. Signal-specific interpretation methods yield parameters selected as most discriminative for the sleep quality, synchronized and combined as a sleep record. In the experimental stage the nightlong sleep was supervised by the reference EEG recordings and particular components of the sleep record were correlated to the presence of delta wave representing deep sleep. Significant correlation values in most subjects allow to validate the proposed sleep record as comparable to the standard polysomnogram.

Apparatus and method for controlling sleep cycle synchronization of sleep mode in wireless communication system

Abstract: An apparatus and method for controlling sleep cycle synchronization of a sleep mode in a wireless communication system are provided. A method of operating a Mobile Station (MS) in a sleep mode state includes, if a traffic indication message and unicast data are not received during a listening window, transmitting one of a request message and a header to a Base Station (BS) to request a location of a next-scheduled listening window, and if a response for the one of the request message and the header is received, performing synchronization for a next sleep cycle.

Control method and control device for terminal sleep in relay network

Abstract: The invention provides a control method for terminal sleep in a relay network and a control device thereof The method comprises steps of: obtaining sleep demand information for representing a terminal with sleep demand in the relay network; generating and sending sleep entering state inform information to the terminal based on the sleep demand information; obtaining sleep control information aiming at the terminal; sending the sleep control information to the terminal for managing the terminal, making the terminal enter a second sleep state or escape a first sleep state The invention enables the terminal to be in a low power consuming sleep state in waiting reciprocal process of the relay and the base station, which saves terminal energy more efficiently under the relay mode and is compatible with a sleep mechanism of a non-relay mode without changing standards

Sleep control system

Abstract: PROBLEM TO BE SOLVED: To provide a sleep control system suitable for intending sleepiness elimination and fatigue recovery by short napping. SOLUTION: The sleep control system 100 to control a sleep state of a vehicle rider corresponding to a napping purpose includes: a napping purpose deciding means 10 to decide the napping purpose of the vehicle rider; a sleep step judging means 11 to judge a sleep step of the vehicle rider; a stimulation giving part 40 to give stimulation to the vehicle rider corresponding to a sleep step judged by the sleep step judging means 11; an awakening condition deciding means 12 to decide an awakening condition based on the napping purpose decided by the napping purpose deciding means 10; and a sleep controlling means 13 to give stimulation for awakening the vehicle rider by the stimulation giving part 40 when the awakening condition is satisfied while keeping a sleep step of a vehicle rider at "sleep step 2". COPYRIGHT: (C)2010,JPO&INPIT

Method of operating a sleep mode in a wireless communication system

Abstract: A sleep mode operating method in a wireless communication system is disclosed. In a sleep mode operating method in a wireless communication system according to one embodiment of the present invention, a user equipment receives a sleep response (MOB_SLP-RSP) message including a sleep cycle and a listening window from a base station. For the listening window, the user equipment receives a last PDU indication indicating whether a PDU (protocol data unit) transmitted from the base station is a last PDU. The user equipment terminates the listening window according to the last PDU indication.

Development of an Online Sleep Diary for Physician and Patient Use

Abstract: This paper describes the development of an electronic sleep diary and outlines its advantages over the traditional paper based approach still used by many sleep centres throughout the world. A sleep diary is a record of sleep details filled in by a patient normally over a period of two weeks. This information is then used by a physician as a diagnostic tool for identify sleep disorders in the patient. The development method used was convergent interviews with sleep specialists in order to establish initial requirements. This was followed by a rapid prototyping approach in order to produce the final specification. This paper concludes that an online sleep diary is a low cost, viable alternative offering benefits to both patients and physicians. The benefits to patients include the ability to perform functional analysis of their own sleep habits (referred to as sleep hygiene) and to determine factors affecting their sleep patterns. This knowledge leads to greater patient understanding of their circumstances and can lead to a potential increase in patient, physician collaboration. The physician gains access to timely accessible patient information as well as to an evidence database that will allow for greater analysis of sleep disorders throughout the general public over time. https://doi.org/10.34105/j.kmel.2010.02.014

Method for realizing sleep function in embedded system

Abstract: The invention discloses a method for realizing sleep function in an embedded type system, which comprises the following steps: a timer task is set for a protocol stack; a task to sleep calls a sleep function sending a massage with information of task to sleep to the timer task, calls the waiting function of an operation system to hang the task to sleep; the timer task starts a timer by the received massage, appoints a response function after the time of the timer is up, and establishes a matching relationship between the function of the timer and the function of the task to sleep; when the time of the timer is up, the appointed response function is called, the wakeup function of the operating system is called according to the matching relationship, and the hung task to sleep is waken up. According to the invention, the original resources of the systems can be used to realize Sleep mechanism, thus solving the conflict in protocol stack transplantation.

Sleep analysis system and analysis method thereof

Abstract: The invention relates to a sleep analysis system and analysis method thereof. The sleep analysis system includes an analysis device and a sleep sensing device, wherein the sleep sensing device includes an ECG signal collecting device, a multi-axis g-sensor, a wireless transmitting unit and a control unit. The ECG signal collecting device is used for obtaining an ECG signal regarding to a user. The multi-axis g-sensor is used for obtaining a multi-axis acceleration signal regarding to the user. The control unit controls the wireless transmitting unit to transmit the ECG signal and the multi-axis acceleration signal to the analysis device to analyze the sleep of the user.