Showing papers on "Sleep (system call) published in 2014"

Toss 'n' turn: smartphone as sleep and sleep quality detector

Abstract: The rapid adoption of smartphones along with a growing habit for using these devices as alarm clocks presents an opportunity to use this device as a sleep detector. This adds value to UbiComp and personal informatics in terms of user context and new performance data to collect and visualize, and it benefits healthcare as sleep is correlated with many health issues. To assess this opportunity, we collected one month of phone sensor and sleep diary entries from 27 people who have a variety of sleep contexts. We used this data to construct models that detect sleep and wake states, daily sleep quality, and global sleep quality. Our system classifies sleep state with 93.06% accuracy, daily sleep quality with 83.97% accuracy, and overall sleep quality with 81.48% accuracy. Individual models performed better than generally trained models, where the individual models require 3 days of ground truth data and 3 weeks of ground truth data to perform well on detecting sleep and sleep quality, respectively. Finally, the features of noise and movement were useful to infer sleep quality.

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.

Intelligent sleep stage mining service with smartphones

Abstract: Sleep quality plays a significant role in personal health. A great deal of effort has been paid to design sleep quality monitoring systems, providing services ranging from bedtime monitoring to sleep activity detection. However, as sleep quality is closely related to the distribution of sleep duration over different sleep stages, neither the bedtime nor the intensity of sleep activities is able to reflect sleep quality precisely. To this end, we present Sleep Hunter, a mobile service that provides a fine-grained detection of sleep stage transition for sleep quality monitoring and intelligent wake-up call. The rationale is that each sleep stage is accompanied by specific yet distinguishable body movements and acoustic signals. Leveraging the built-in sensors on smartphones, Sleep Hunter integrates these physical activities with sleep environment, inherent temporal relation and personal factors by a statistical model for a fine-grained sleep stage detection. Based on the duration of each sleep stage, Sleep Hunter further provides sleep quality report and smart call service for users. Experimental results from over 30 sets of nocturnal sleep data show that our system is superior to existing actigraphy-based sleep quality monitoring systems, and achieves satisfying detection accuracy compared with dedicated polysomnography-based devices.

17.8 A 190nW 33kHz RC oscillator with ±0.21% temperature stability and 4ppm long-term stability

Abstract: In wireless networks with a low duty cycle, the radio is operational for only a small percentage of the time. A sleep timer is used to synchronize the data transmission and reception. The total system power is then limited by the sleep power and the sleep timer frequency stability. Low-frequency crystal oscillators are a common choice for sleep timers due to their excellent long-term stability, frequency stability over temperature, and very low power consumption. However, the external crystal cost and board area are undesired. If an integrated oscillator is used as an alternative, the frequency variation must be minimized so the sleep time can be maximized.

Sleep Education Improves the Sleep Duration of Adolescents: A Randomized Controlled Pilot Study

Abstract: Purpose:To determine the feasibility and pilot a sleep education program in New Zealand high school students.Methods:A parallel, two-arm randomized controlled pilot trial was conducted. High school...

System and Method to Monitor and Assist Individual's Sleep

Abstract: A sleep assist system to monitor and assist the user's sleep, comprising a bedside device positioned near the user's bed, the bedside device comprising a loudspeaker and a light source and optionally a microphone, a light sensor, a temperature sensor, a control unit, an air quality sensor, a display unit, a user interface. The sleep assist system further comprises a first sensing unit positioned in the user's bed and comprising one or more sensors adapted to sense at least pressure and/or changes in pressure exerted by the user lying in the bed. The system monitors the user's sleep, assesses the user's sleep cycles and the phase of sleep cycle, and provides the user with at least one light and sound program, the light and sound program being based on the assessment of the user's sleep cycles and the phase of sleep cycle.

Infant monitoring system and methods

Abstract: One variation of a method for monitoring sleep of a user includes: assigning a collective wakefulness model—generated from sleep data collected from a set of other users—to the user for a first time period; storing a first set of vitals data collected by a wearable device worn by the user during first time period; extrapolating, from the collective wakefulness model, a first waking time of the user for a first sleep event during first time period based on data in the first set of vitals data; queuing the first waking time for transmission to a mobile computing device linked to the account for presentation to a guardian of the user; in response to expiration of the first time period, generating an individual wakefulness model specific to the user based on the first set of vitals data collected during the first time period.

Fatigue monitoring and management system

Abstract: A system monitors fatigue of a user. The system (100) may include one or more data sources, such as a non-obtrusive sleep sensor, configured to generate objective sleep measures of the user. The system may also include a fatigue monitoring module, which may be configured to generate an assessment, such as in one or more processors, of the fatigue state of the user based on the data from the one or more data sources.

Human sleep monitoring method and system

Abstract: The invention relates to a human sleep monitoring method and system. The method and system synthesizes motion, heart rate and body temperature signals. The system comprises a core processor, a reflective type photoelectric pulse sensor, a temperature sensor, a three-axis gravity acceleration sensor and a capacitive skin contact sensor which are respectively used for measuring heart rate in real time, measuring body surface temperature in real time, detecting motion state in real time, and performing wearing identification. The human sleep monitoring system has the advantages that by synthesizing human body sign information and motion states, the system can automatically monitor the sleep state and the waking state of a user and can identify different sleep stages including shallow sleep, deep sleep and rapid-eye-movement sleep; the system further comprises a display module and a miniature motor vibrating module which are used for displaying specific sleep information and awakening the user on the basis of sleep quality; the problems that an existing sleep monitoring device cannot naturally awaken the user at an appropriate time, physical and mental health of the user is affected, and the existing sleep monitoring device is inconvenient to use are solved.

Inflatable air mattress sleep environment adjustment and suggestions

Abstract: A method may include receiving a setting for a component of a bed architecture and a trigger condition for the setting; generating a sleep profile with the setting and trigger condition; activating the sleep profile when the trigger condition has been met; and based on the activation of the sleep profile, transmitting a signal from a central controller of the bed architecture to the component to adjust to the setting.

Method and device for managing application program processes

Abstract: The invention discloses a method and device for managing application program processes. The method includes: a receiving system broadcasts a message to determine whether the screen of a terminal is closed or not; when the screen is closed, the process information objects of operating application programs are acquired through an application program calling interface, and the importance attribute numerical values are acquired through the process information objects of the operating application programs so as to determine the process priority of each application program; the processes with low priority are closed or set into a sleep state according to preset process managing rules. The method has the advantages that the processes with low priority are closed or set into the sleep state according to the priority of the processes, the processes with low priority are set into sleep preferably after screen locking, and accordingly internal memory space is saved, and power consumption is reduced.

Low-cost EEG-based sleep detection.

Abstract: A real-time stage 1 sleep detection system using a low-cost single dry-sensor EEG headset is described. This device issues an auditory warning at the onset of stage 1 sleep using the "NeuroSky Mindset," an inexpensive commercial entertainment-based headset. The EEG signal is filtered into low/high alpha and low/high beta frequency bands which are analyzed to indicate the onset of sleep. Preliminary results indicate an 81% effective rate of detecting sleep with all failures being false positives of sleep onset. This device was able to predict and respond to the onset of drowsiness preceding stage 1 sleep allowing for earlier warnings with the result of fewer sleep-related accidents.

Sleep state management by selecting and presenting audio content

Abstract: Techniques for managing sleep states by selecting and presenting audio content are described. Disclosed are techniques for receiving data representing a sleep state, selecting a portion of audio content from a plurality of portions of audio content as a function of the sleep state, and causing presentation of an audio signal comprising the portion of audio content at a speaker. Audio content may be selected based on sleep states, such as sleep preparation, being asleep or sleeping, wakefulness, and the like. Audio content may be selected to facilitate sleep onset, sleep continuity, sleep awakening, and the like. Audio content may include white noise, noise cancellation, stating a user's name, presenting another message such as a recommendation, the news, or a user's schedule, a song or piece of music, and the like, and may be stored as a file, generated dynamically, and the like.

Sleep guaranteeing system and control method thereof

Abstract: The invention relates to a sleep guaranteeing system and a control method of the sleep guaranteeing system. Accidents such as apnea may happen because of insomnia when people want to sleep or because of other reasons when people fall asleep. The sleep guaranteeing system comprises bedding, a processor, a sleep aiding mechanism, a data acquisition mechanism and an awakening mechanism, wherein the data acquisition mechanism comprises a data converter, a vibration induction component and a snore inductor, the vibration induction component and the snore inductor are connected with the data converter, the processor receives a signal of the vibration induction component through the data converter and controls the sleep aiding mechanism, and the processor receives a signal of the snore inductor through the data converter and controls the awakening mechanism. The sleep guaranteeing system is installed in a bedroom, various sign data of a user are monitored in real time, the sleep state of the user is distinguished, intervening or treatment and curing measures can be taken in time when abnormal conditions are found, it is guaranteed that the user has a high-quality sleep, it is effectively prevented that the user has an accident when sleeping, and sleep quality of the user is guaranteed.

Intelligent air conditioner, sleep control device thereof and sleep control method for intelligent air conditioner

Abstract: The invention belongs to the field of control for air conditioners, and particularly relates to an intelligent air conditioner, a sleep control device thereof and a sleep control method for the intelligent air conditioner. The intelligent air conditioner, the sleep control device and the sleep control method have the advantages that an intelligent scheme for controlling comfort operation of the air conditioner is provided; sleep running modes and corresponding set temperatures in the sleep running modes corresponding to movement states can be respectively acquired according to physiological parameter information and the movement states of current users after a control function of the sleep control device is started, the physiological parameter information and the movement states of the current users are detected in real time, the sleep running modes correspond to gender and age stage information, signals can be transmitted to an indoor unit, the air conditioner can run in the sleep running modes according to the set temperatures under the control of the sleep control device, accordingly, requirements of specific groups on environments can be met by the sleep running modes and the set temperatures, purposes of comfort and health can be achieved, and intelligent air conditioner, the sleep control device and the sleep control method are beneficial to improve the experience of the users.

Monitoring Sleep with Force Sensor Measurement

Abstract: This thesis presents methods for comfortable sleep measurement at home. Existing medical sleep measurement systems are costly, disturb sleep quality, and are only suited for short-term measurement. As sleeping problems are affecting about 30% of the population, new approaches for everyday sleep measurement are needed. We present sleep measurement methods that are based on measuring the body with practically unnoticeable force sensors installed in the bed. The sensors pick up forces caused by heartbeats, respiration, and movements, so those physiological parameters can be measured. Based on the parameters, the quality and quantity of sleep is analyzed and presented to the user. In the first part of the thesis, we propose new signal processing algorithms for measuring heart rate and respiration during sleep. The proposed heart rate detection method enables measurement of heart rate variability from a ballistocardiogram signal, which represents the mechanical activity of the heart. A heartbeat model is adaptively inferred from the signal using a clustering algorithm, and the model is utilized in detecting heartbeat intervals in the signal. We also propose a novel method for extracting respiration rate variation from a force sensor signal. The method solves a problem present with some respiration sensors, where erroneous cyclicity arises in the signal and may cause incorrect measurement. The correct respiration cycles are found by filtering the input signal with multiple filters and selecting correct results with heuristics. The accuracy of heart rate measurement has been

Intelligent Sampling Of Heart Rate

Abstract: An activity monitor reduces power consumption by providing a heart rate sensor in an inactive mode at times when the heart rate is relatively unimportant. Data from a motion sensor is used to determine when to activate the heart rate monitor to obtain heart rate readings. For example, the motion data may indicate that the user is becoming active after a period of inactivity, or the user is vigorously exercising, then terminates the exercising, or the user is in a sleep-related activity such as the onset of sleep, non-REM (rapid-eye movement sleep) sleep, REM sleep and the user waking from sleep. The heart rate sensor may be in a continuously active mode, an alternating mode, or an inactive mode. In the alternating mode, a delay between readings is set adaptively based on the user's level of activity.

Timing resolution for devices with long sleep cycles

Abstract: Timing resolution for user equipments (UEs) that operate using a discontinuous reception (DRX) mode that includes various sleep cycles may be addressed through selection of various alternative wake up procedures. A UE selects a wake-up procedure based on the length of the sleep cycle. The UE may use details of the sleep cycle, including a time offset or timing uncertainty associated with the sleep cycle, when selecting the wake-up procedure. The UE may select to obtain system timing information either directly from a serving cell or non-serving cell in sync with the serving cell or may select to perform either a one-step or two-step pre-wake up procedure in order to obtain the system timing. Once the UE obtains the system timing or determines a wake-up procedure, it performs timing correction before the scheduled wake-up times between the sleep cycles.

Determining whether to change a time at which an alarm is to occur based at least in part on sleep data

Abstract: In one aspect, a device includes a processor and a memory accessible to the processor. The memory bears instructions executable by the processor to receive data from a sleep sensor in communication with the device and, based at least in part on the data, determine whether to change a time at which an alarm is to occur at the device.

A telemedicine program for diagnosis and management of sleep-disordered breathing: the fast-track for sleep apnea tele-sleep program.

Abstract: The objective of this study was to facilitate access to sleep health care for veterans. We designed and implemented a Telehealth program for diagnosing and treating sleep-related breathing disorders (SRBDs). Building on our ongoing out-of-laboratory “Fast Track for Sleep Apnea” program, procedures were modified to accommodate remote operations. This Tele-sleep program was set up at the medical center's community-based outpatient clinics. Home sleep testing and positive airway pressure device technological advances enabled realizing this application for Telehealth. In addition to obtaining appropriated teleconferencing equipment, the program involved implementing systematic processes for (1) six types of clinic visits, (2) training remote-site personnel, (3) making recommendations for inventory management, and (4) evaluating patient satisfaction. Over the past year, we have updated and refined our procedures to optimize program performance and efficiency. To achieve the next step, that is, increasing program scale beyond its current state (e.g., to region-wide), we will need to further develop and formalize quality control indicators to more efficiently monitor operations. The program has helped relieve clinical load at the central sleep program, improved local access to sleep care for veterans, and improved patient satisfaction with health care for SRBDs.

Optimal sleep-state control of energy-aware M/G/1 queues

Abstract: We study the problem of optimally controlling the use of sleep states in an energy-aware M/G/1 queue. In our model, we consider a family of policies where the server upon becoming idle can wait for a random period before entering, potentially randomly, any of a finite number of possible sleep states to save energy. The server becomes busy again after a possibly random number of jobs have arrived. However, jobs are served only after a random setup time. This kind of an energy-aware queuing system has been analyzed in recent papers under specific assumptions regarding the cost metrics and the distributions of the random variables. In this paper, we consider an essentially more general model. Notably we show that the optimal control of the idle time and sleep states is deterministic and does not benefit from randomization: either the system only uses the idle state and no sleep states, or the idle state is not used at all and the server immediately goes to some fixed sleep state and waits until a fixed number of jobs have arrived before starting the setup. We prove this result for two popular cost metrics, namely weighted sum of energy and response time (ERWS) and their product ERP.

MoviBed - Sleep Analysis Using Capacitive Sensors

Abstract: Sleep disorders are a wide-spread phenomenon that can gravely affect personal health and well-being. An individual sleep analysis is a first step in identifying unusual sleeping patterns and providing suitable means for further therapy and preventing escalation of symptoms. Typically such an analysis is an intrusive method and requires the user to stay in a sleep laboratory. In this work we present a method for detecting sleep patterns based on invisibly installed capacitive proximity sensors integrated into the bed frame. These sensors work with weak electric fields and do not disturb sleep. Using the movements of the sleeping person we are able to provide a continuous analysis of different sleep phases. The method was tested in a prototypical setup over multiple nights.

Intelligent sleep system, user side system of intelligent sleep system, and cloud system of intelligent sleep system

Abstract: The invention provides an intelligent sleep system, a user side system of the intelligent sleep system, and a cloud system of the intelligent sleep system. The user side system comprises a multi-dimensional data collection module (101), a local data processing module (102), a user side system communication module (103) and a drive execution module (104). The cloud system comprises a cloud communication module (201), a data management module (202) and a data excavation module (203). According to the intelligent sleep system, the user side system of the intelligent sleep system, and the cloud system of the intelligent sleep system, complete and deep data application such as collection, processing, sending, management, excavation, forecasting, pushing and interaction of environment data and sleep between intra-system wide user groups and the user side system and the cloud system can be provided, the user sleep behaviors can be adapted automatically, the capacity supporting a system to meet the requirement for changes of user long-term sleep modes and improving the sleep quality and physical health is found through the knowledge of the long-term sleep behaviors.

Device and method for sleep monitoring

Abstract: A device and method for sleep monitoring, in particular to a device and method for determining time-to-sleep and wake periods during sleep and to a device and method for determining rapid eye movement (REM) sleep and non REM (NREM) sleep. The method for determining time-to-sleep and wake periods during sleep comprising the steps of obtaining motion data representative of motion of a user; detecting the time-to-sleep from the motion data based on a first time-above-threshold (TAT) threshold and a first proportional integration method (PIM) threshold; and detecting the wake periods during sleep from the motion data based on a second TAT threshold and a second PIM threshold.

Evaluating the effectiveness of the Motivating Teens To Sleep More program in advancing bedtime in adolescents: a randomized controlled trial

Abstract: Sleep restriction is a prevalent issue for adolescents and has been associated with negative cognitive, emotional, and physical health (e.g., poor attention, depressed mood, obesity). Existing sleep promotion programs are successful in improving adolescents’ sleep knowledge but not sleep behaviour. The aim of this randomized controlled trial is to evaluate the effectiveness of Motivating Teens to Sleep More program – a sleep promotion program with embedded sleep education that combines three approaches: motivational interviewing style, tailoring activities, and stage-based intervention – as compared to a sleep education only control in motivating adolescents to go to bed earlier leading to prolonged sleep duration. The Motivating Teens to Sleep More study will be conducted with adolescents at a Montreal high school. Half of the participants will be randomly assigned to the Motivating Teens to Sleep More program condition and the other half to the sleep education control condition. Each condition will consist of four 1-hour sessions spanning four consecutive weeks. Bedtime will be assessed by sleep logs completed for a week prior to the start of the program, in the middle of the program and following the program. Sleep onset and total sleep time will be assessed by actigraphy for one week prior to the start and following the program. The Motivating Teens to Sleep More program is a novel intervention that contributes theoretically to the field of pediatric sleep by merging three approaches to motivate normally developing adolescents to adopt earlier bedtimes. Should the program be successful in advancing bedtimes and increasing total sleep time, the study would offer insights in how to design effective motivational sleep promotion programs for adolescents, which can potentially improve adolescent health and well-being. ISRCTN19425350 .

Sleep temperature control method and device

Abstract: The invention discloses a sleep temperature control method. The sleep temperature control method comprises the following steps: detecting current ambient temperature and a user sleep state, wherein the steep state comprises a deep sleep state, a light sleep state and a wake state; statistically collecting temperature detected at each preset time point to form a sleep temperature curve; determining whether to set the current statistically-collected sleep temperature curve as an optimum sleep temperature curve or not according to the time length of the deep sleep state; outputting the optimum sleep temperature curve into an air conditioner to control the air conditioner to adjust the current ambient temperature. The invention additionally discloses a sleep temperature control device. The sleep temperature control method and the sleep temperature control device improve the flexibility and the practicability of sleep temperature curve setting.

Apparatus and method for modulating sleep

Abstract: Apparatuses and methods to enhance sleep, reduce sleep onset latency, extend sleep duration and/or increasing the duration of deeper sleep stages relative to stage 1 sleep. In general, these apparatuses and methods apply and maintain one or more target “warm” temperatures to a subject's forehead for a time period. The target temperature may be between 25° C. and 42° C. The target temperature may be a fixed amount greater than ambient temperature. The time period may be a fixed time period or a variable time period. These methods and apparatuses may limit the application of thermal energy to the subject's forehead region.

Poster: hearing your breathing: fine-grained sleep monitoring using smartphones

Abstract: Sleep monitoring has drawn increasingly attention as the quality and quantity of the sleep are important for maintaining a person's health and well-being. For example, inadequate and irregular sleep are usually associated with serious health problems such as fatigue, depression and cardiovascular disease. Traditional sleep monitoring systems, such as PSG, involve wearable sensors with professional installations, and thus are limited to clinical usage. Recent work in using smartphone sensors for sleep monitoring can detect several events related to sleep, such as body movement, cough and snore. Such coarse-grained sleep monitoring however is unable to detect the breathing rate which is a vital sign and health indicator. This work presents a fine-grained sleep monitoring system which is capable of detecting the breathing rate by leveraging smartphones. Our system exploits the readily available smartphone earphone that placed close to the user to capture the breath sound reliably. Given the captured acoustic signal, our system performs noise reduction to remove environmental noise and then identifies the breathing rate based on the signal envelope detection. Our experimental evaluation of six subjects over six months time period demonstrates that the breathing rate monitoring is highly accurate and robust under various environments. This strongly indicates the feasibility of using the smartphone and its earphone to perform continuous and noninvasive fine-grained sleep monitoring.