Relevant bibliographies by topics / SLEEM

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'SLEEM'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "SLEEM"

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Mikmeková, Šárka, Ondřej Man, Libor Pantělejev, Miloš Hovorka, I. Müllerová, Luděk Frank, and Miloslav Kouřil. "Strain Mapping by Scanning Low Energy Electron Microscopy." Key Engineering Materials 465 (January 2011): 338–41. http://dx.doi.org/10.4028/www.scientific.net/kem.465.338.

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The use of the scanning low energy electron microscopy (SLEEM) has been slowly making its way into the field of materials science, hampered not by limitations in the technique but rather by relative scarcity of these instruments in research institutes and laboratories. This paper reports the results obtained from an investigation of the microstructure of ultra fine-grained (UFG) copper fabricated using equal channel angular pressing (ECAP) method, namely in the as-pressed state and after annealing. SLEEM is very sensitive to the perfection of crystal lattice and using SLEEM, local strain can be effectively imaged.
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Mikmeková, Šárka, Miloš Hovorka, Ilona Müllerová, Ond\\v{r}ej Man, Libor Pant\\v{e}lejev, and Lud\\v{e}k Frank. "Grain Contrast Imaging in UHV SLEEM." MATERIALS TRANSACTIONS 51, no. 2 (2010): 292–96. http://dx.doi.org/10.2320/matertrans.mc200919.

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Ikeno, Susumu, Kenji Matsuda, I. Müllerová, and Luděk Frank. "SLEEM Study of MgAl2O4 at Interface betweeen Al2O3 and Matrix in Al2O3/Al Alloy Composite Materials." Materials Science Forum 539-543 (March 2007): 779–84. http://dx.doi.org/10.4028/www.scientific.net/msf.539-543.779.

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In the present talk, MgAl2O4 in the Al2O3/Al-1.0mass%Mg2Si alloy composite was also observed by a scanning electron microscope equipped with the low energy electron (SLEEM) adaptation aiming at examination of its morphology and orientation relationships to the Al2O3 particles. Owing to its much smaller interaction volume of signal exciting electrons in the target and hence more localized information, together with a favorable combination of secondary (SE) and backscattered (BSE) electron signals, the SLEEM method provided much better readable and detailed images of all particles, their shapes and mutual orientations, in comparison with conventional SE and BSE images at the electron energies usually used in the SEM. MgAl2O4 (spinels) were formed on facets of Al2O3 as small particles, and their shape well corresponded to an octahedron consisting of 8 equiaxial triangles.
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Mikmeková, Šárka, Pavel Jánský, Vladimír Kolařík, and Ilona Müllerová. "Surface imaging with UHV SLEEM and SEM LEEM." Microscopy and Microanalysis 25, S2 (August 2019): 444–45. http://dx.doi.org/10.1017/s1431927619002952.

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Müllerová, Ilona, Eliška Mikmeková, Šárka Mikmeková, Ivo Konvalina, and Luděk Frank. "Practical Use of Scanning Low Energy Electron Microscope (SLEEM)." Microscopy and Microanalysis 22, S3 (July 2016): 1650–51. http://dx.doi.org/10.1017/s1431927616009090.

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Frank, L., and I. Mullerova. "The Scanning Low Energy Electron Microscopy (SLEEM) Mode in SEM." Microscopy and Microanalysis 12, S02 (July 31, 2006): 152–53. http://dx.doi.org/10.1017/s1431927606063562.

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Kasl, J., Š. Mikmeková, and D. Jandová. "SEM, TEM and SLEEM (scanning low energy electron microscopy) of CB2 steel after creep testing." IOP Conference Series: Materials Science and Engineering 55 (March 5, 2014): 012008. http://dx.doi.org/10.1088/1757-899x/55/1/012008.

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Dr. M. Ganesh, Dr M. Ganesh, Dr S. A. Sridevi Dr.S.A.Sridevi, and Dr T. Janagan Dr. T.Janagan. "Sleep Habits and Sleep Patterns in Healthy Adult Population in Chennai." International Journal of Scientific Research 3, no. 5 (June 1, 2012): 507–8. http://dx.doi.org/10.15373/22778179/may2014/163.

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Saygın, Mustafa. "Investigation of Sleep Quality and Sleep Disorders in Students of Medicine." Turkish Thoracic Journal 17, no. 4 (October 10, 2016): 132–40. http://dx.doi.org/10.5578/ttj.30513.

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Ergenci Basınlı, Kamile Büşra, and Özlem Gözün Kahraman. "Uyku Eğitim Programının bebeklerin uyku alışkanlıkları üzerindeki etkisi." Erken Çocukluk Çalışmaları Dergisi 4, no. 3 (October 31, 2020): 738–61. http://dx.doi.org/10.24130/eccd-jecs.1967202043228.

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Dissertations / Theses on the topic "SLEEM"

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Mikmeková, Šárka. "Mikroskopie pomalými elektrony ve studiu složitých krystalických struktur." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-234186.

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Methods for examination of the crystal structure of crystalline materials include the X-Ray, neutron and synchrotron-radiation diffraction, electron backscattered diffraction in the scanning electron microscope, scanning transmission electron microscopy, transmission electron microscopy and focused ion beam microscopy. The scanning low energy electron microscopy (SLEEM) is less known as yet but already has proven itself very powerful tool for studies of the crystal lattice. By means of very slow electrons reflected from the sample and effectively detected in their full angular and energy distribution the crystalline structure is imaged at high spatial resolution and high contrast is obtained between differently oriented grains in polycrystals. Because of high sensitivity of the image signal to the inner potential distribution in the sample even details like subgrains or twins as well as strain at the microstructural level can be visualized. The aim of this thesis is to demonstrate the scanning low energy electron microscopy as an effective tool for investigation of wide range of materials like steels, non-ferrous alloys and ultra-fine grained materials.
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Sleem, Ahmed [Verfasser], and H. von [Akademischer Betreuer] Löhneysen. "Electronic Transport Properties of LaAlO₃/SrTiO₃ Heterostructures Under Hydrostatic Pressure / Ahmed Sleem ; Betreuer: H. von Löhneysen." Karlsruhe : KIT-Bibliothek, 2018. http://d-nb.info/1151229334/34.

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Ligas, Aleš. "Studium beta fáze v Al-Mg-Si slitinách pomocí nekonvenčních metod elektronové mikroskopie." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231721.

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Aluminium Al-Mg-Si alloys are the most commonly used in automotive and construction industry. Hexagonal ’-phase is one of the metastable phases occured in this type of alloys. Unlike classic square -phase, this ’-phase is characterized by different crystalographic orientation to the matrix and shape. Standard method used for identification of aluminium alloys is scanning electron microscopy (SEM), because of its quickness and efficiency, but in case of very thin or damaged structures (as a result of metallographic process) it’s insufficient. Scanning low energy electron microscopy (SLEEM) can be appropriate for identification of mentioned precipitates due to its physical principles resulting in many advantages compared to SEM. So the most important benefits are interaction volume reduction (which leads to improvement of surface sensitivity), increase of material contrast (ability to change matrix / precipitates contrast) as well as crystalographic contrast.
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Sahlin, Carin. "Sleep apnea and sleep : diagnostic aspects." Doctoral thesis, Umeå : Umeå universitet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-18959.

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Eugene, Nicole Christina. "POTENT SLEEP: THE CULTURAL POLITICS OF SLEEP." Connect to this title online, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=bgsu1151208257.

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Altaf, Quratul-ain. "Sleep in patients with type 2 diabetes : the impact of sleep apnoea, sleep duration, and sleep quality on clinical outcomes." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8270/.

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Introduction: Type 2 Diabetes (T2DM) and sleep-related disorders share common risk factors such as obesity; but the interrelationships between T2DM and sleep disorders are not well examined. Aims: In this thesis I aimed to assess: 1. The longitudinal impact of obstructive sleep apnoea (OSA) on micro vascular complications in patient with T2DM. 2. The relationship between sleep quality, sleep duration and adiposity in patients with T2DM Methods: To examine the first aim, I utilized the data collected from a previous project that examined the cross-sectional associations between OSA and micro vascular complications in patients with T2DM and followed up the study participants longitudinally using 1-2-1 interviews and electronic health records. For aim 2, I conducted a crosssectional study in patients with young-onset T2DM who were recruited from Heart of England NHS Foundation Trust and primary care. Result: For Aim 1: Depending on the micro vascular outcome examined, we had approximately 200 patients in the analysis. Patients were followed up for 2.5 years for renal outcomes, and 4-4.5 years for retinopathy and neuropathy outcomes. The prevalence of OSA was 63%. I found that baseline OSA was significantly associated with greater decline of eGFR and greater progression to pre-proliferative and proliferative retinopathy. I also found that OSA was associated with progression to a combined outcome of foot insensitivity or diabetic foot ulceration but this was a non-significant trend (p=0.06). In addition, I found that patients who received and were compliant with continuous positive airway pressure (CPAP) treatment (delivered during routine care) had improvements in heart rate variability parameters by study end. For Aim 2: Poor sleep quality and shorter sleep duration were associated with increased total body fat% after adjustment for potential confounders. Conclusion: I found that OSA plays an important role in the progression of micro vascular complications in patients with T2DM. Whether treatment with CPAP has a favourable impact on micro vascular complications is currently being examined in a randomized controlled trial. I also found that sleep duration and quality are associated with increased adiposity. The direction of this relationship need to be examined in longitudinal studies and interventional trials.
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Žakevičius, Martynas. "Sleep and the sense of rest: relation between sleep fragmentation and subjective sleep quality." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093350-31580.

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Sleep disorders are one of the most common medical complaints today. There is a growing interest in sleep medicine, attitude of doctors and society is changing and knowledge about sleep and its disorders is increasing. One of the most tedious and understudied sleep problems is non-restorative sleep. Researchers are still debating about what determines persons rest sense after the sleep. A lot of attention recently is paid for sleep integrity and a role of sleep fragmentation for the rest sense. It is thought that sleep fragmentation with short arousals could have effect on the sleeps restorative function. The aim of our study was to analyze sleep structure and sleep quality through sleep cycles, phases and stages and to evaluate structure’s relationship with subjective sense of rest after the sleep without paying attention to the type of insomnia. We have analysed three types of arousals (behavioural, vegetative and microarousals) and their dynamics during the night, in different sleep cycles and stages. Subjective sleep quality was evaluated using the Pittsburgh sleep quality index. Work results showed that for the subjective sense of rest after the sleep it is more important the stability of sleep in the initial than in the last sleep cycles. Sleep stage and arousal type regardless of sleep cycle are significant factors for the arousal index values and that increase of all arousal indices in NREM 2 stage (especially increase of microarousal index) has strongest impact for... [to full text]
Miego sutrikimai yra vienas labiausiai paplitusių nūdienos medicininių nusiskundimų. Paskutiniu metu miego medicina domimasi vis labiau, keičiasi gydytojų ir visuomenės supratimas apie miegą, jo sutrikimus, ligas ir negalavimus, susijusius su miegu. Vienas iš svarbesnių ir labai varginančių sutrikimų yra miegas be poilsio jausmo. Mokslininkai iki šiol diskutuoja, kas lemia poilsio jausmą po miego. Pastaruoju metu nemažai dėmesio skiriama miego vientisumo ir suskaldymo reikšmės poilsio jausmui tyrimams. Manoma, kad miego fragmentacija – miego suskaidymas dažnais trumpais nubudimais – mažina jo atstatomąją vertę, ypač smegenims. Pagrindinis darbo tikslas buvo išnagrinėti miego struktūrą ir kokybę per miego ciklus, fazes ir stadijas bei įvertinti miego struktūros ryšį su poilsio jausmu po miego nepriklausomai nuo nemigos tipo. Buvo nagrinėjami trijų tipų – elgesiniai, vegetaciniai ir žieviniai mikro – nubudimai ir jų dinamika nakties metu, skirtinguose miego cikluose ir stadijose. Subjektyviai vertinama miego kokybė buvo analizuojama pasitelkus Pitsburgo miego kokybės indeksą. Darbo rezultatai parodė, kad miego stabilumas nakties pradžioje turi didesnę įtaką subjektyviam miego kokybės jausmui negu miegas nakties pabaigoje. Nubudimų indekso dydžiui reikšmingos įtakos turi miego stadija ir nubudimo tipas, nepriklausomai nuo miego ciklo, o didžiausią įtaką poilsio jausmui turi visų tipų nubudimų, ypač žievinių mikronubudimų, indeksų padidėjimas antroje lėtojo miego stadijoje.
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Alkhanaizi, Walaa(Walaa M. ). "Fascia : a sleep mask for conducting sleep studies." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/130196.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
Cataloged from student-submitted PDF of thesis. Date of graduation confirmed by MIT Registrar Office. "May 2020."
Includes bibliographical references (pages 51-53).
In this thesis, I discuss the importance of sleep and therefore the study of sleep. I highlight limitations with existing methodologies to conduct sleep studies and collect sleep data, and present a solution to overcome current limitations by providing better mechanisms for sensing during sleep in the wild. This document details the thought process of every aspect of design and development of the progress made on the project so far. First, I present the motivation for the project and provide general background. Second, I discuss the physiological signals that sleep studies monitor and their relationship to sleep. If the reader is familiar with these physiological signals and how they are relevant to sleep studies, they should feel free to skip that section. Next, I provide an overview of some existing alternatives in the market and discuss why they do not satisfy the purpose of in-the-wild sleep studies. Next, I detail the design of the device, physically and on the system level. Then, I go into a detailed description of the components of the device in hardware, firmware, and software. I include a brief description of some of the efforts made in the code to make it easier to debug while developing. Lastly, I discuss what work was completed, and what work remains to be done. I close with a full list of the tasks remaining and some implementation concerns. There is a glossary near the end of the document of terms and acronyms I use throughout the thesis. Feel free to consult it should any confusion arise regarding the meaning of words used. The document ends with a list of appendices starting with a complete usage guide for the system in its current state. The other appendices include copies of all the firmware and software code, and circuit and PCB designs.
by Walaa Alkhanaizi.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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Dhand, Neal. "Sleep shift /." Online version of thesis, 2009. http://hdl.handle.net/1850/9881.

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Aeschbach, Daniel. "Dynamics of the human sleep electroencephalogram : effects of hypnotics, sleep deprivation, and habitual sleep length /." [S.l.] : [s.n.], 1995. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=11177.

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Books on the topic "SLEEM"

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Manolova, Vesa. Miga sŭs vechnostta da sleem: Stikhove. Khaskovo: [V. Manolova], 1993.

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Auerbach, Jessica. Sleep, baby, sleep. London: Headline Book Publishing, 1994.

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Auerbach, Jessica. Sleep, baby, sleep. New York: Fawcett Crest, 1995.

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Sleep, baby, sleep. New York: Putnam, 1994.

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illustrator, Van Lieshout Maria, ed. Sleep, baby, sleep. New York: Philomel Books, 2009.

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Sleep, baby, sleep. London: Headline, 1995.

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ill, Van Lieshout Maria, ed. Sleep, baby, sleep. New York: Philomel Books, 2009.

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Casey, Crisenbery, ed. Sleep angel sleep. Herndon, Va: Mascot Books, 2011.

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Yolen, Jane. Sleep, black bear, sleep. New York, NY: Scholastic, 2008.

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McAllister Stammen, Jo Ellen, ill., ed. Sleep, little one, sleep. New York: Simon & Schuster Books for Young Readers, 1999.

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Book chapters on the topic "SLEEM"

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Nofzinger, Eric A., and Charles F. Reynolds. "Sleep and Sleep Disorders." In Geriatric Medicine, 823–40. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2705-0_54.

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Roehrs, Timothy, and Thomas Roth. "Sleep and Sleep Disorders." In Drug Abuse and Addiction in Medical Illness, 375–84. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3375-0_30.

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Parati, Gianfranco, Carolina Lombardi, Krzysztof Narkiewicz, Jacek Wolf, and Juan Eugenio Ochoa. "Sleep Disturbances/Sleep Apnea." In Updates in Hypertension and Cardiovascular Protection, 259–87. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59918-2_18.

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Goodlin-Jones, Beth L., Melissa M. Burnham, and Thomas F. Anders. "Sleep and Sleep Disturbances." In Handbook of Developmental Psychopathology, 309–25. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4163-9_17.

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Kales, Joyce D., Michael Carvell, and Anthony Kales. "Sleep and Sleep Disorders." In Geriatric Medicine, 562–78. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4757-2093-8_43.

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Greenstone, Michael A. "Sleep." In Foundations of Respiratory Medicine, 133–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94127-1_8.

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Siegel, J. M., and R. M. Harper. "Sleep." In Comprehensive Human Physiology, 1183–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-60946-6_58.

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Avis, Kristin T. "Sleep." In Encyclopedia of Child Behavior and Development, 1370. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_2662.

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Giersch, Gabrielle E. W., William M. Adams, and Rob Duffield. "Sleep." In Sport and Physical Activity in the Heat, 113–24. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70217-9_7.

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Nussbaumer-Ochsner, Yvonne, and Konrad E. Bloch. "Sleep." In High Altitude, 325–39. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8772-2_17.

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Conference papers on the topic "SLEEM"

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Winiger, Evan, Leah Hitchcock, Angela Bryan, and Cinnamon Bidwell. "Cannabis Use and Sleep: A look at the Expectations, Outcomes, and the Role of Age." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.12.

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Objectives: Estimate the associations between cannabis use with expectations of cannabis being a sleep aid, subjective sleep outcomes, and the influence of age on these relationships. Methods: In 152 moderate cannabis users (67% female, mean age = 31.45, SD = 12.96, age range = 21-70) we assessed the influence of cannabis use history and behaviors on expectations of cannabis being a sleep aid and subjective sleep outcomes via the Pittsburgh Sleep Quality Index (PSQI). We used moderation analysis to examine the role of age in the relationship between cannabis use and subjective sleep outcomes. Results: Cannabis use along with more frequent cannabis use were associated with increased expectations that cannabis use improves sleep (all β > 0.03, p < 0.04). Frequency of recent cannabis use and reported average THC or CBD concentration were largely not associated with subjective sleep outcomes. However, endorsing current cannabis use was associated with worse subjective sleep quality (β = 1.34, p = 0.02) and increased frequency of consuming edibles was associated with worse subjective sleep efficiency (β = 0.03, p = 0.04), lower sleep duration (β = 0.03, p = 0.01), and higher global PSQI scores (worse overall sleep) (β = 0.10, p = 0.01). Furthermore, age was determined to have a moderating influence on the relationship between increased concentration of CBD and both better sleep duration and sleep quality (both p < 0.03). Conclusion: Cannabis users have higher expectations of cannabis being a sleep aid, but few associations existed between cannabis use and subjective sleep outcomes with the exceptions of endorsing any cannabis use and frequency of edible use. Additionally, age may be an important moderator of the potential positive influence CBD concentration can have on sleep.
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Ali, Raja Mahamade, Monica Zolezzi, and Ahmed Awaisu. "Exploration of Sleep Quality and Sleep Hygiene among QU students." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0181.

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Sleep is an important component of healthy lifestyles. Worldwide reports suggest that one in every three adults suffers from insomnia. University students are vulnerable to insomnia due to their stressful lifestyle and inconsistent sleeping schedules, which contribute to poor, sleep hygiene. The purpose of this study is to explore the prevalence of sleeping problems among university students in Qatar and to investigate factors contributing to insomnia development. A cross-sectional survey utilizing two validated sleep questionnaires, the Pittsburgh sleep quality index (PSQI) and the sleep hygiene index (SHI), were administered to Qatar University (QU) students in either English or Arabic. An online survey was sent to all QU students through e-mail. Descriptive and inferential statistics were used to analyse and report the findings. A total of 2,062 students responded to this survey. Most of the respondents were females, Qataris, and the majority of them belonged to the colleges of Arts and Sciences, Business and Economics or Engineering. Around 25% of the participating students reported previous use of sleep aids. The findings indicated that the majority of the students had poor sleep quality (69.7%) and poor sleep hygiene (79%). A positive association was found between sleep quality and sleep hygiene (r = 0.39; p < 0.0001). College distribution and marital status were shown to significantly influence sleep quality (p =0.031 and p=0.02 respectively). The regression analysis revealed that sleep hygiene had the greatest effect on sleep quality (accounting for 7% of the variance) and individuals with good sleep hygiene were 4 times more likely to have good sleep quality. The findings of this study suggest that poor sleep quality and inadequate sleep hygiene practices are common among university students in Qatar, both of which may have a negative impact on students’ academic performance which warrants further investigation in future studies.
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Zavrel, Erik A., and Ana C. Krieger. "An Inter-Device Accuracy Comparison of Consumer Sleep Trackers." In 2019 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dmd2019-3205.

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The ability to investigate sleep is of scientific and clinical interest. Polysomnography (PSG) has long been considered the gold standard assessment for sleep physiology; however, its cost and inconvenience have spurred the development of consumer devices capable of evaluating sleep outside the laboratory. The development of dedicated consumer sleep monitoring devices, e.g., the Zeo Personal Sleep Manager, smart bands, e.g., the Microsoft Band 2 (MB2), and activity trackers, e.g., the Fitbit Charge 2 (FC2), with the ability to automatically distinguish between sleep and wakefulness has important implications for sleep research and medicine.1–3
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Jia, Ziyu, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, and Yaoshuai Zhao. "GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/184.

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Sleep stage classification is essential for sleep assessment and disease diagnosis. However, how to effectively utilize brain spatial features and transition information among sleep stages continues to be challenging. In particular, owing to the limited knowledge of the human brain, predefining a suitable spatial brain connection structure for sleep stage classification remains an open question. In this paper, we propose a novel deep graph neural network, named GraphSleepNet, for automatic sleep stage classification. The main advantage of the GraphSleepNet is to adaptively learn the intrinsic connection among different electroencephalogram (EEG) channels, represented by an adjacency matrix, thereby best serving the spatial-temporal graph convolution network (ST-GCN) for sleep stage classification. Meanwhile, the ST-GCN consists of graph convolutions for extracting spatial features and temporal convolutions for capturing the transition rules among sleep stages. Experiments on the Montreal Archive of Sleep Studies (MASS) dataset demonstrate that the GraphSleepNet outperforms the state-of-the-art baselines.
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Jia, Ziyu, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, and Yingbin Zhang. "SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/360.

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Sleep staging is fundamental for sleep assessment and disease diagnosis. Although previous attempts to classify sleep stages have achieved high classification performance, several challenges remain open: 1) How to effectively extract salient waves in multimodal sleep data; 2) How to capture the multi-scale transition rules among sleep stages; 3) How to adaptively seize the key role of specific modality for sleep staging. To address these challenges, we propose SalientSleepNet, a multimodal salient wave detection network for sleep staging. Specifically, SalientSleepNet is a temporal fully convolutional network based on the $U^2$-Net architecture that is originally proposed for salient object detection in computer vision. It is mainly composed of two independent $U^2$-like streams to extract the salient features from multimodal data, respectively. Meanwhile, the multi-scale extraction module is designed to capture multi-scale transition rules among sleep stages. Besides, the multimodal attention module is proposed to adaptively capture valuable information from multimodal data for the specific sleep stage. Experiments on the two datasets demonstrate that SalientSleepNet outperforms the state-of-the-art baselines. It is worth noting that this model has the least amount of parameters compared with the existing deep neural network models.
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6

Alomari, Mahmoud, Omar F. Khabour, Karem Alzoubi, and Mohammad Z. Darabseh. "Sleeping Habits during COVID-19 Induced Confinement." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0293.

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The COVID-19 pandemic has impacted daily life activity, lifestyle, and well-being. Sleep was shown to be affected by many physical and psychological factors such as quality of life, psychological wellbeing, and levels of physical activity. In the current study, changes in sleep quality during COVID-19-induced confinement among adults was investigated. Subsequently, the current study examined sleep changes during COVID-19 using social media venues among adults in Jordan. A total of 1846 participants were recruited in the study, of which >92% reported a variety of confinement procedures such as self-quarantine, physical distancing, banning of public events, school closure, and lockdown. Additionally, the majority of the participants (53.1%-59.4%) reported an increase in most of the sleep parameters except a decrease (49.1% of the participants) in daytime sleep. Age and obesity seemed to contribute to the changes in sleeping hours while age contributed to sleep disturbance. Moreover, change in daytime sleeping was related to age, gender, and job type while the change in nighttime sleeping hours was associated with age, obesity, and job type. In conclusion, multiple factors, namely, age, gender, income, and job type, seemed to play a role in sleep quality during COVID-19-induced confinement. The majority of the participants experienced an increase in sleep disturbance, nighttime sleeping, sleeping hours as well as a reduction in daytime sleeping. Thus, intervention programs and strategies are warranted to further improve sleep among adults during the current and future disease-induced confinement.
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7

Shivaram, Suganti, Anjani Muthyala, Zahara Z. Meghji, Susan Karki, and Shivaram Poigai Arunachalam. "Multiscale Entropy Technique Discriminates Single Lead ECG’s With Normal Sinus Rhythm and Sleep Apnea." In 2018 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dmd2018-6948.

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Sleep apnea is characterized by abnormal interruptions in breathing during sleep due to partial or complete airway obstructions affecting middle-aged men and women on an estimated ∼4% of the population [1]. While the disorder is clinically manageable to relieve patients, the challenge occurs with diagnosis, with many patients going undiagnosed leading to further complications such as ischemic heart diseases, stroke etc. Sleep apnea also significantly affects the quality of day to day life causing sleepiness and fatigue. Polysomnography (PSG) technique is currently a used for detecting sleep apnea which is a comprehensive sleep test to diagnose sleep disorders by recording brain waves, the oxygen level in the blood, heart rate, breathing, eye and leg movements during the study. However, PSG test is very expensive, requires patients to stay overnight and is known to cause inconvenience to the patients.
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Estrada, Edson, Homer Nazeran, Farideh Ebrahimi, and Mohammad Mikaeili. "Symmetric Itakura Distance as an EEG Signal Feature for Sleep Depth Determination." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206233.

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Sleep is a natural periodic state of rest for the body, in which the eyes are usually closed and consciousness is completely or partially lost. Consequently, there is a decrease in bodily movements and responsiveness to external stimuli. In this pilot study, we performed power spectral estimation of EEG signals by Autoregressive (AR) modeling, and then used Itakura Distance to measure the degree of similarity between an EEG baseline and EEG epochs for the entire sleep study. Sleep data from twenty-five subjects (21 males and 4 females, age: 50 ± 10 years, range 28–68 years) from Physionet database were used. We found that Itakura Distance was the smallest for sleep stages similar to the baseline. We intend to deploy this feature as an important element in automatic classification of sleep stages. Results show that trends provided by this feature could discern between sleep stages with a very high level of statistical significance p<0.01.
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Dean, Matthew R., Noah J. Martins, Joseph D. Brown, James McCusker, Guohua Ma, and Douglas E. Dow. "Physical Thorax Model and 2D Grid of Force Sensors to Monitor Respiration." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11238.

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Abstract Sleep disorders impair the quality of life for many individuals, but often go undiagnosed and untreated due to the cost and sleep-disturbing aggravation of polysomnography, the clinical sleep test. Simpler sleep monitoring systems that could be used at home may provide useful health information. A 2D grid of force sensors within a mat beneath the thorax of a sleeping subject has been reported to enable monitoring of respiration during sleep. A physical model of a thorax over such a 2D grid of force sensors may enable more tests and perturbations of parameters than could be done using only human subjects. The purpose of this project was to develop and test a physical model of a thorax undergoing volume changes, and measuring the changes in force by a grid of force sensors under the model. A prototype system was developed. Early testing shows promise for being able to monitor the changes in force as volume of the model changes. More development and testing are required toward development of improved algorithms and systems for sleep monitoring mats.
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Zavrel, Erik A., and Matthew R. Ebben. "A Novel Genioglossal Strengthening Device for Obstructive Sleep Apnea Treatment." In 2018 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dmd2018-6809.

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Obstructive sleep apnea (OSA) is a condition characterized by temporary diminutions or cessations of breathing caused by repetitive collapse of the upper airway (UA) during sleep [1]. OSA is a common disorder — the American Academy of Sleep Medicine estimates the condition affects 29.4 million Americans — in which the muscles that hold the airway open weaken, resulting in partial or complete UA collapse during inspiration [2]. These pauses in breathing lead to blood oxygen desaturation and induce neurological arousal resulting in sleep disruption and fragmentation. The cycle of airway collapse and arousal can repeat hundreds of times per night.
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Reports on the topic "SLEEM"

1

Germain, Anne. Neurobiology of Sleep and Sleep Treatment Response in PTSD. Fort Belvoir, VA: Defense Technical Information Center, October 2009. http://dx.doi.org/10.21236/ada525916.

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2

Kelly, Tamsin L., Mark R. Rosekind, and Paul Naitoh. Sleep Management Manual. Fort Belvoir, VA: Defense Technical Information Center, December 1994. http://dx.doi.org/10.21236/ada294586.

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3

Blanchflower, David, and Alex Bryson. Unemployment Disrupts Sleep. Cambridge, MA: National Bureau of Economic Research, September 2020. http://dx.doi.org/10.3386/w27814.

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4

Germain, Anne. Neurobiology of Sleep and Sleep Treatments in PTSD (NOS-STIP). Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada537223.

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5

LeDuc, Patricia A., John A. Caldwell, and Jr. A Review of the Relationships Among Sleep, Sleep Deprivation, and Exercise. Fort Belvoir, VA: Defense Technical Information Center, April 1998. http://dx.doi.org/10.21236/ada342896.

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6

Donald R Powers, Donald R. Powers. Do Hummingbirds Actually Sleep? Experiment, January 2017. http://dx.doi.org/10.18258/8929.

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7

Badia, Pietro, and John Harsh. Auditory Evoked Potentials as a Function of Sleep Deprivation and Recovery Sleep. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada177482.

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Jacobson, Jeremiah, Paul Tennison, Lolita M. Burrell, and Michael D. Matthews. Sleep and Resiliency in Soldiers. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada540990.

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9

Eberhart, Russell C. Actigraph and Sleep Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada366952.

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10

Belenky, Gregory. Sleep and Performance Research Center. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ada580963.

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