Deep Sleep State Research Articles

Exploring the Trinity Of 9NFTMANIA, Premium Domain, and COREDAOVIP through the Lens of The AUM Concept in The Mandukya Upanishad

This paper presents a novel conceptual framework correlating the symbolic elements of AUM (ॐ) from the Mandukya Upanishad with the evolving digital ecosystem represented by 9NFTMANIA, Premium Domain, and Coredaovip. AUM, regarded as the most sacred syllable in Hindu philosophy, embodies three states of consciousness: A (awake state), U (dream state), and M (deep sleep state). In this analogy, 9NFTMANIA reflects the awake state (A), where users actively engage with the metaverse; Premium Domain represents the dream state (U), where desires and digital ambitions are shaped; and Coredaovip embodies the deep sleep state (M), the unseen yet foundational element influencing and governing the digital landscape. This research draws parallels between the spiritual and digital worlds, offering insights into the dynamic relationships between metaverse platforms and their foundational principles.

Altered circadian rhythm, sleep, and rhodopsin 7–dependent shade preference during diapause in Drosophila melanogaster

To survive adverse environments, many animals enter a dormant state such as hibernation, dauer, or diapause. Various Drosophila species undergo adult reproductive diapause in response to cool temperatures and/or short day-length. While flies are less active during diapause, it is unclear how adverse environmental conditions affect circadian rhythms and sleep. Here we show that in diapause-inducing cool temperatures, Drosophila melanogaster exhibit altered circadian activity profiles, including severely reduced morning activity and an advanced evening activity peak. Consequently, the flies have a single activity peak at a time similar to when nondiapausing flies take a siesta. Temperatures ≤15 °C, rather than photoperiod, primarily drive this behavior. At cool temperatures, flies rapidly enter a deep-sleep state that lacks the sleep cycles of flies at higher temperatures and require high levels of stimulation for arousal. Furthermore, we show that at 25 °C, flies prefer to siesta in the shade, a preference that is virtually eliminated at 10 °C. Resting in the shade is driven by an aversion to blue light that is sensed by Rhodopsin 7 outside of the eyes. Flies at 10 °C show neuronal markers of elevated sleep pressure, including increased expression of Bruchpilot and elevated Ca2+ in the R5 ellipsoid body neurons. Therefore, sleep pressure might overcome blue light aversion. Thus, at the same temperatures that cause reproductive arrest, preserve germline stem cells, and extend lifespan, D. melanogaster are prone to deep sleep and exhibit dramatically altered, yet rhythmic, daily activity patterns.

Workflow for the unsupervised clustering of sleep stages identifies light and deep sleep in electrophysiological recordings in mice

BackgroundSleep physiology plays a critical role in brain development and aging. Accurate sleep staging, which categorizes different sleep states, is fundamental for sleep physiology studies. Traditional methods for sleep staging rely on manual, rule-based scoring techniques, which limit their accuracy and adaptability. New methodWe describe, test and challenge a workflow for unsupervised clustering of sleep states (WUCSS) in rodents, which uses accelerometer and electrophysiological data to classify different sleep states. WUCSS utilizes unsupervised clustering to identify sleep states using six features, extracted from 4-second epochs. ResultsWe gathered high-quality EEG recordings combined with accelerometer data in diverse transgenic mouse lines (male ApoE3 versus ApoE4 knockin; male CNTNAP2 KO versus wildtype littermates). WUCSS showed high recall, precision, and F1-score against manual scoring on awake, NREM, and REM sleep states. Within NREM, WUCSS consistently identified two additional clusters that qualify as deep and light sleep states. Comparison with existing methodsThe ability of WUCSS to discriminate between deep and light sleep enhanced the precision and comprehensiveness of the current mouse sleep physiology studies. This differentiation led to the discovery of an additional sleep phenotype, notably in CNTNAP2 KO mice, showcasing the method's superiority over traditional scoring methods. ConclusionsWUCSS, with its unsupervised approach and classification of deep and light sleep states, provides an unbiased opportunity for researchers to enhance their understanding of sleep physiology. Its high accuracy, adaptability, and ability to save time and resources make it a valuable tool for improving sleep staging in both clinical and preclinical research.

Deep brain stimulation of the central thalamus restores arousal and motivation in a zolpidem-responsive patient with akinetic mutism after severe brain injury.

After severe brain injury, zolpidem is known to cause spectacular, often short-lived, restorations of brain functions in a small subgroup of patients. Previously, we showed that these zolpidem-induced neurological recoveries can be paralleled by significant changes in functional connectivity throughout the brain. Deep brain stimulation (DBS) is a neurosurgical intervention known to modulate functional connectivity in a wide variety of neurological disorders. In this study, we used DBS to restore arousal and motivation in a zolpidem-responsive patient with severe brain injury and a concomitant disorder of diminished motivation, more than 10years after surviving hypoxic ischemia. We found that DBS of the central thalamus, targeted at the centromedian-parafascicular complex, immediately restored arousal and was able to transition the patient from a state of deep sleep to full wakefulness. Moreover, DBS was associated with temporary restoration of communication and ability to walk and eat in an otherwise wheelchair-bound and mute patient. With the use of magnetoencephalography (MEG), we revealed that DBS was generally associated with a marked decrease in aberrantly high levels of functional connectivity throughout the brain, mimicking the effects of zolpidem. These results imply that 'pathological hyperconnectivity' after severe brain injury can be associated with reduced arousal and behavioral performance and that DBS is able to modulate connectivity towards a 'healthier baseline' with lower synchronization, and, can restore functional brain networks long after severe brain injury. The presence of hyperconnectivity after brain injury may be a possible future marker for a patient's responsiveness for restorative interventions, such as DBS, and suggests that lower degrees of overall brain synchronization may be conducive to cognition and behavioral responsiveness.

Comparative Review of the Three Avastha of Mind in Upanishads and Stages of Sleep

Background: Upanishads describe the three avastha (states) of mind/consciousness as Jagrita, Swapna and Sushupti. Though the epistemology of the names of these states of mind is indicative of a wakeful to deep sleep states of mind, explanations in Upanishads make it clear that these are the states of spiritual consciousness. Stages of sleep have been studied elaborately over time. Polysomnographic and biological findings have helped to identify distinct stages of sleep. Materials and Methods: This study is a sincere effort to comparatively find out any similarities or dissimilarities in the concept of these states of mind and stages of sleep in Upanishads and contemporary medical science literature respectively. Results and Discussion: The mind differently functions and actualizes itself from gross to subtle things in the different avastha of mind. Interesting observations were found like states of mind were close to the measure of mindfulness index of mind. In the case of stages of sleep, different brain waves, activities of mind like cognition, memory and restoration of normalcy of brain tissues have been found to be happening to varying degrees in different stages. Conclusion: Proper recommendations were made for the further studies to understand and validate the concept of states of mind and for the application of these concepts in the fields of sleep medicine and psychotherapy.

Homeostatic Control of Deep Sleep and Molecular Correlates of Sleep Pressure in Drosophila.

Homeostatic control of sleep is typically addressed through mechanical stimulation-induced forced wakefulness and the measurement of subsequent increases in sleep. A major confound attends this approach: biological responses to deprivation may reflect a direct response to the mechanical insult rather than to the loss of sleep. Similar confounds accompany all forms of sleep deprivation and represent a major challenge to the field. Here we describe a new paradigm for sleep deprivation in Drosophila that fully accounts for sleep-independent effects. Our results reveal that deep sleep states are the primary target of homeostatic control and establish the presence of multi-cycle sleep rebound following deprivation. Furthermore, we establish that specific deprivation of deep sleep state results in state-specific homeostatic rebound. Finally, by accounting for the molecular effects of mechanical stimulation during deprivation experiments, we show that serotonin levels track sleep pressure in the fly's central brain. Our results illustrate the critical need to control for sleep-independent effects of deprivation when examining the molecular correlates of sleep pressure and call for a critical reassessment of work that has not accounted for such non-specific effects.

Behavioural adaptation of domestic animals on the example of different breeds of domestic cat (Felis silvestris catus L., 1758)

The excessive increase in the anthropogenic burden on wildlife, namely the uncontrolled use of natural resources, including deforestation, mining, wasteful nature management systems, a decrease in biodiversity due to intensive agricultural development, and more recently, war, affect the living conditions of both wild and domestic animals. In the new realities of the modern world, pets, losing their usual natural environment, are forced to either adapt to changes or cease to exist. The purpose of the study was to investigate the level of adaptation of the body (Felis silvestris catus L., 1758) of domestic cats in home conditions. Long-term methods were used to achieve this goal: daily visual observation, time budget, followed by the analysis of data on greater animal activity. The behaviours of cats were evaluated on a six-point scale: imitation of hunting – active play using toys (5 points) and territory inspection, jumping, scratching claws (4 points); communication with the owner – food search and bunting (3 points); self-cleaning – passive walk, toilet (2 points); rest – state of light sleep or napping (1 point), state of deep sleep (0). The selected samples were compared statistically using Kendall's rank correlation coefficient It is established that intra-breed and inter-breed differences in the duration of behavioural acts of obligate and facultative behaviours are largely determined by the temperament and character of the animals under study. The daily activity of cats of different breeds is described, which is determined by the imposition of the influence of genetically determined cycles on specific character traits and is formed during selection breeding. It is statistically proved that there is a substantial consistency between the traits under study in animals with different temperaments. If the temperament is similar, behaviour and motor activity do not correlate with each other, and the differences in the behaviour and activity of male and female purebred cats are poorly expressed. It is substantiated that the results obtained can serve as a basis for understanding the problems and difficulties that arise in purebred cats in the process of adaptation to life together with humans and, thereby, provide an understanding of the main manifestations of behavioural adaptation of domestic animals

Intrinsic maturation of sleep output neurons regulates sleep ontogeny in Drosophila

The maturation of sleep behavior across a lifespan (sleep ontogeny) is an evolutionarily conserved phenomenon. Mammalian studies have shown that in addition to increased sleep duration, early life sleep exhibits stark differences compared with mature sleep with regard to sleep states. How the intrinsic maturation of sleep output circuits contributes to sleep ontogeny is poorly understood. The fruit fly Drosophila melanogaster exhibits multifaceted changes to sleep from juvenile to mature adulthood. Here, we use a non-invasive probabilistic approach to investigate the changes in sleep architecture in juvenile and mature flies. Increased sleep in juvenile flies is driven primarily by a decreased probability of transitioning to wake and characterized by more time in deeper sleep states. Functional manipulations of sleep-promoting neurons in the dorsal fan-shaped body (dFB) suggest that these neurons differentially regulate sleep in juvenile and mature flies. Transcriptomic analysis of dFB neurons at different ages and a subsequent RNAi screen implicate the genes involved in dFB sleep circuit maturation. These results reveal that the dynamic transcriptional states of sleep output neurons contribute to the changes in sleep across the lifespan.

Winter dormancy in trees

Plants growing in temperate and boreal regions of the world have to face strikingly different environmental conditions during summer and winter. Being sessile organisms, plants have had to develop various strategies to adapt to these changes in light, temperature, and water availability, thereby optimizing their 'economy of growth'. While annual plants can endure unfavorable winter conditions in the form of a seed, or under a protective cover of thick snow, perennial plants such as trees adapt by going into a stage of deep sleep called winter dormancy. To enter dormancy, vegetative growth is stopped in the late summer or early autumn and the shoots are converted into buds, where the shoot apical meristems are protected by tightly closed and hardened bud scales (Figures 1 and 2). At the same time, cold hardiness develops and the need for water and nutrient uptake is drastically reduced. Deciduous trees also go through leaf senescence whereby the leaves develop their autumn colors and are shed (Figure 1A). The trees then spend the beginning of the winter in a state of deep sleep in which they are completely unreceptive to any environmental signals telling them to wake up. However, as winter progresses, the trees are gradually released from this slumber and will eventually flush their buds in the spring. Vegetative growth then resumes with the formation of new leaves and shoots during summer until the trees again go into growth cessation and the cycle is closed (Figures 1 and 2). This cycle of growth and dormancy is central for the ability of trees to adapt to growth at different latitudes and elevations. The further north, or the higher the elevation at which the trees grow, the earlier in the season the trees enter growth cessation and the later they flush their buds in the spring. This is because meteorological winter arrives earlier in the season and lasts longer into the spring. The trees therefore have to stop growth earlier in the season to ensure that they have enough time to complete bud formation and to develop cold hardiness and dormancy. They also have to be sure that winter is really over before flushing their buds. Winter dormancy is therefore a clear case of a trade-off between the length of the growing season and the protection against winter damage - a nice example of 'economy in biology', the theme of this special issue. This primer will briefly summarize what we know about the environmental signals that influence the annual growth cycle in trees, as well as our current understanding of the genetic pathways and molecular mechanisms regulated by these signals.

Pathobiology of Second-Generation Antihistamines Related to Sleep in Urticaria Patients.

Simple SummarySleep is a restorative state that is crucial for all human beings. Sleep is important for many biological processes in the body and has a huge impact on quality of life. According to previous studies, we know that patients with hives report sleep impairments. However, there are no data objectifying the sleep pattern. Guideline-based therapy for hives includes second-generation antihistamines of up to fourfold dosage. It is known that first-generation antihistamines lead to changes in sleep pattern and increased daytime sleepiness. However, the effect of second-generation antihistamines on sleep is not known. This pilot study was conducted to better understand the pathobiology of sleep in patients suffering from hives, who are medicated with high-dosed second-generation antihistamines. As healthy sleep in many dermatologic patients is still an unmet need, it is of utmost importance to raise awareness and eventually include sleep improvement in the therapy of urticaria patients.Background: Standard treatment options for urticaria are second-generation antihistamines; however, their effect on sleep is uncertain. This study measures the influence of different antihistamines on the biologic sleep pattern of urticaria patients and the relevance of sleep in urticaria patients. Methods: Ten patients with chronic spontaneous urticaria (CSU) and uncontrolled symptoms under a single dose of second-generation antihistamines were included. Two nights were monitored: the first night after 5 days on single dosage and the second night after 5 days on fourfold dosage. Patient-rated questionnaires were used and sleep was monitored using polygraphy. Results: The patients’ rated daytime sleepiness decreased (p = 0.0319), as did their insomnia severity (p = 0.0349). The urticaria control (UCT) improved (p = 0.0007), as did the quality of life (p < 0.0001). There was no significant change of nightly pruritus (p = 0.1173), but there was an improvement of daytime pruritus (p = 0.0120). A significant increase in rapid eye movement (REM) sleep was seen (p = 0.0002) (from a mean of 3.9% to 14.3%). The deep sleep state (N3) also improved (8.7% to 12.3%) (p = 0.1172). Conclusion: This study has demonstrated an improvement of the sleep pattern in CSU patients under up-dosed second-generation antihistamines, without increased daytime sleepiness, alongside an improvement of urticaria symptoms and quality of life.

Validation of Deep Learning-based Sleep State Classification.

Deep learning methods have been developed to classify sleep states of mouse electroencephalogram (EEG) and electromyogram (EMG) recordings with accuracy reported as high as 97%. However, when applied to independent datasets, with a variety of experimental and recording conditions, sleep state classification accuracy often drops due to distributional shift. Mixture z-scoring, a pre-processing standardization of EEG/EMG signals, has been suggested to account for these variations. This study sought to validate mixture z-scoring in combination with a deep learning method on an independent dataset. The open-source software Accusleep, which implements mixture z-scoring in combination with deep learning via a convolutional neural network, was used to classify sleep states in 12, three-hour EEG/EMG recordings from mice sleeping in a head-fixed position. Mixture z-scoring with deep learning classified sleep states on two independent recordings with 85-92% accuracy and a Cohen’s κ of 0.66-0.71. These results validate mixture z-scoring in combination with deep learning to classify sleep states with the potential for widespread use.

Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep.

The brain exhibits capabilities of fast incremental learning from few noisy examples, as well as the ability to associate similar memories in autonomously-created categories and to combine contextual hints with sensory perceptions. Together with sleep, these mechanisms are thought to be key components of many high-level cognitive functions. Yet, little is known about the underlying processes and the specific roles of different brain states. In this work, we exploited the combination of context and perception in a thalamo-cortical model based on a soft winner-take-all circuit of excitatory and inhibitory spiking neurons. After calibrating this model to express awake and deep-sleep states with features comparable with biological measures, we demonstrate the model capability of fast incremental learning from few examples, its resilience when proposed with noisy perceptions and contextual signals, and an improvement in visual classification after sleep due to induced synaptic homeostasis and association of similar memories.

A Serotonin-Modulated Circuit Controls Sleep Architecture to Regulate Cognitive Function Independent of Total Sleep in Drosophila.

Both the structure and the amount of sleep are important for brain function. Entry into deep, restorative stages of sleep is time dependent; short sleep bouts selectively eliminate these states. Fragmentation-induced cognitive dysfunction is a feature of many common human sleep pathologies. Whether sleep structure is normally regulated independent of the amount of sleep is unknown. Here, we show that in Drosophila melanogaster, activation of a subset of serotonergic neurons fragments sleep without major changes in the total amount of sleep, dramatically reducing long episodes that may correspond to deep sleep states. Disruption of sleep structure results in learning deficits that can be rescued by pharmacologically or genetically consolidating sleep. We identify two reciprocally connected sets of ellipsoid body neurons that form the heart of a serotonin-modulated circuit that controls sleep architecture. Taken together, these findings define a circuit essential for controlling the structure of sleep independent of its amount.

Low-Power and Low-Cost Environmental IoT Electronic Nose Using Initial Action Period Measurements.

In this work, we present a complete hardware development and current consumption study of a portable electronic nose designed for the Internet-of-Things (IoT). Thanks to the technique of measuring in the initial action period, it can be reliably powered with a moderate-sized battery. The system is built around the well-known SoC (System on Chip) ESP8266EX, using low-cost electronics and standard sensors from Figaro’s TGS26xx series. This SoC, in addition to a powerful microcontroller, provides Wi-Fi connectivity, making it very suitable for IoT applications. The system also includes a precision analog-to-digital converter for the measurements and a charging module for the lithium battery. During its operation, the designed software takes measurements periodically, and keeps the microcontroller in deep-sleep state most of the time, storing several measurements before uploading them to the cloud. In the experiments and tests carried out, we have focused our work on the measurement and optimization of current consumption, with the aim of extending the battery life. The results show that taking measurements every 4 min and uploading data every five measurements, the battery of 750 mAh needs to be charged approximately once a month. Despite the fact that we have used a specific model of gas sensor, this methodology is quite generic and could be extended to other sensors with lower consumption, increasing very significantly the duration of the battery.

Impact of nurse-assisted patient turning at different sleep stages on the quality of subsequent sleep.

Nursing care performed during sleep, including nurse-assisted patient turning, is one of the factors that deteriorates sleep quality but is necessary for pressure ulcer prevention. Thus, it is important to determine when nurseassisted patient turning has the least impact on sleep quality. The aim of this study was to clarify the impact of nurseassisted patient turning at different sleep stages and to determine the optimal timing of this aspect during sleep. The experiment, which consisted of healthy men in their 20s and 30s, was performed over four successive nights per subject. The first night was dedicated to environment adaptation, and the 2nd to the 4th nights were randomly assigned for shallow sleep intervention, deep sleep intervention, and non-intervention. On the intervention day, nurse-assisted patient turning was conducted twice. Overnight sleep conditions were measured by polysomnography (PSG). The PSG waveform transmitted to a tablet was analyzed in real time to determine the stage of sleep. The patient was turned when he entered the planned stage of sleep. The study analyzed fourteen (14) subjects. Shallow sleep time, deep sleep time, and sleep resumption time after nurse-assisted patient turning were compared among the three groups of non-intervention day, shallow sleep intervention day and deep sleep intervention day. There was no significant difference in the shallow and deep sleep time among the three groups. However, sleep resumption time after nurse-assisted patient turning was significantly shorter on the deep sleep intervention day than on the shallow sleep intervention day (p = textbf 0.033). This study has novelty in examining the impact of nurse-assisted patient turning performed at different sleep stages on subsequent sleep using objective indicators. The study suggested that a deep sleep state is the optimal timing of nurseassisted patient turning due to the short time to sleep resumption.

Drastic Energy Reduction With gDTX in Low Cost 5G Networks

Base station (BS) sleep modes handle the progressive deactivation of unused hardware components and bring a promising solution to the increasing energy bill and environmental concerns. Taking advantage of the 5G ultra-lean design and spaced synchronization signals, we propose a novel gDTX mode (for next-generation discontinuous transmission), based on flexible duty cycling . First, an inactive period enables the BS to enter deep sleep state for some tens of milliseconds, even if users are requesting service. We show that adapting the inactivity duration to the daily traffic load fluctuations provides significant energy reduction, reaching half of the time more than 45% gain in suburban environment and 78% in rural area. Second, an active period maintains some cell capacity and normal signaling, rendering the BS always available, even if not always on. Questioning the feasibility of gDTX regarding real-time delay-non-tolerant voice traffic, we analyze its impact on the overall jitter, end-to-end delay and estimated mean opinion score. We evidence that sleeping 60 ms every 80 ms while sustaining acceptable voice quality is not contradictory in most network conditions, for light to moderate loads. The proposed gDTX cycle definitely opens new perspectives on energy reduction, targeting primarily developing countries where powering BSs is still a priority to deploy reliable mobile services.

Hearts kept alive outside the body

A new way of keeping donated hearts alive for a day or more could bring an end to people dying while on the transplant waiting list. The method was tested on the first patient in August, with a heart kept in a deep sleep state for 3 hours. It will be tested on five more people for this same time and, if all goes well, the storage time will be gradually raised to 24 hours. Stig Steen at Lund University in Sweden, who developed the technique, says it could potentially be extended to several days.

Benford's law: A “sleeping beauty” sleeping in the dirty pages of logarithmic tables

Benford's law is an empirical observation, first reported by Simon Newcomb in 1881 and then independently by Frank Benford in 1938: the first significant digits of numbers in large data are often distributed according to a logarithmically decreasing function. Being contrary to intuition, the law was forgotten as a mere curious observation. However, in the last two decades relevant literature has grown exponentially—an evolution typical of “Sleeping Beauties” (SBs) publications that go unnoticed (sleep) for a long time and then suddenly become the center of attention (are awakened). Thus, in the present study, we show that the two papers, Newcomb () and Benford (), Newcomb (, American Journal of Mathematics, 4, 39–40) and Benford (1938, Proc. Am. Phil. Soc., 78, 551–572) papers are clearly SBs. The former was in a deep sleep for 110 years, whereas the latter was in a deep sleep for a comparatively lesser period of 31 years up to 1968, and in a state of less deep sleep for another 27 years, up to 1995. Both SBs were awakened in the year 1995 by Hill (, Statistical Science, 10, 354–363). In so doing, we show that the waking prince (Hill, ) is more often quoted than the SB whom he kissed—in this Benford's law case, wondering whether this is a general effect—to be usefully studied.

Happiness:Hedonic and Eudaimonic

'Happiness' is very difficult to define and so also is the case about 'Well-being'. Till today there is no widely accepted definition by the psychologist about these two terms. Happiness and well-being are seems to be synonymous and parallel to each other. There are many parameters of happiness and well-being. Happiness is like a state of deep sleep at night. The way we feel happy in the sleepy mood we must feel the same state of happiness at every moments of our state of consciousness. Subjective well-being, or happiness, in everyday terms, reflects an individual's own judgment about the quality of his or her life. From subjective well-being (SWB) perspective, physical, economic, social, emotional, mental and community indicators are incomplete (Diener & Suh, 1997). Diener (1984) defined Subjective well-being (SWB) as ratings of life satisfaction and positive emotional experiences. There are two traditions of happiness, i.e., Hedonic Happiness and Eudaimonic Happiness. Both the happiness are essential to study at broader level.

Reducing Power Consumption and Latency in Mobile Devices Using an Event Stream Model

Most consumer-based mobile devices use asynchronous events to awaken apps. Currently, event handling is implemented in either an application or an application framework such as Java’s virtual machine (VM) or Microsoft’s .NET, and it uses a “polling loop” that periodically queries an event queue to determine if an event has occurred. These loops must awaken the process, check for an event, and then put the process back to sleep many times per second. This constant arousal prevents the CPU from being put into a deep sleep state, which increases power consumption. Additionally, the process cannot check for events while it sleeps, and this delay in handling events increases latency, which is the time that elapses between when an event occurs and when the application responds to the event. We call this model of event handling a “pull” model because it needs to query hardware devices or software queues in order to “pull” events from them. Recent advances in input devices support direct, informative interrupts to the kernel when an event occurs. This allows us to develop a much more efficient event-handling model called the “Event Stream Model” (ESM). This model is a push model that allows a process to sleep as long as no event occurs but then immediately awakens a process when an event occurs. This model eliminates the polling loop, thus eliminating latency-inducing sleep between polls and reducing unnecessary power consumption. To work properly, the ESM model must be implemented in the kernel rather than in the application. In this article, we describe how we implemented the ESM model in Android operating system (OS). Our results show that with the event stream model, power consumption is reduced by up to 23.8% in certain circumstances, and latency is reduced by an average of 13.6ms.