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Journal articles on the topic 'Sleep architecture'

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Published: 4 June 2021
Last updated: 22 February 2023

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1

Deatherage, Joseph R., R. David Roden, and Kenneth Zouhary. "Normal Sleep Architecture." Seminars in Orthodontics 15, no. 2 (June 2009): 86–87. http://dx.doi.org/10.1053/j.sodo.2009.01.002.

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2

Wang, David, and Harry Teichtahl. "Opioids, sleep architecture and sleep-disordered breathing." Sleep Medicine Reviews 11, no. 1 (February 2007): 35–46. http://dx.doi.org/10.1016/j.smrv.2006.03.006.

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3

Hoffstein, V., J. H. Mateika, and S. Mateika. "Snoring and Sleep Architecture." American Review of Respiratory Disease 143, no. 1 (January 1991): 92–96. http://dx.doi.org/10.1164/ajrccm/143.1.92.

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4

Lorrain, D., D. Bélisle, and I. Viens. "Subjective sleep quality and sleep architecture in aging." Sleep Medicine 64 (December 2019): S231—S232. http://dx.doi.org/10.1016/j.sleep.2019.11.648.

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5

Palinkas, Marcelo, Marisa Semprini, João Espir Filho, Graziela de Luca Canto, Isabela Hallak Regalo, César Bataglion, Laíse Angélica Mendes Rodrigues, Selma Siéssere, and Simone Cecilio Hallak Regalo. "Nocturnal sleep architecture is altered by sleep bruxism." Archives of Oral Biology 81 (September 2017): 56–60. http://dx.doi.org/10.1016/j.archoralbio.2017.04.025.

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6

Hachinski, Vladimir C., Mortimer Mamelak, and John W. Norris. "Clinical Recovery and Sleep Architecture Degradation." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 17, no. 3 (August 1990): 332–35. http://dx.doi.org/10.1017/s0317167100030699.

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ABSTRACT:We achieved a unique and timely recording of cerebral activity in a 70 year old woman immediately pre- and post-stroke, while studying the effect of acute cerebral infarction on sleep-electroencephalogram (EEG) patterns. Normal patterns, except for increased wakefulness, were recorded during two pre-infarct polysomnograms. Immediately following cerebral infarction increased delta activity was recorded from the infarcted hemisphere only. Initially, REM sleep could not be recorded from either side; however, on the third post infarct day REM sleep returned. Background EEG levels from both hemispheres became progressively slower, flatter and simpler. In addition, sleep spindles and the distinctive saw-tooth wave forms of sleep almost disappeared. At one year post-stroke sleep-EEG rhythm recordings from both hemispheres became more similar except for persisting delta activity from the left hemisphere. Unexpected deterioration of sleep-EEG pattern recordings from the undamaged hemisphere taken during the patient's clinical recovery remains unexplained. Serial sleep recording may facilitate the study of brain recovery, activity and reorganization following stroke.
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Deshaies-Rugama, A. S., H. Blais, Z. Sekerovic, M. Massicotte, J. Carrier, C. Thompson, M. Nigam, A. Desautels, J. Montplaisir, and N. Gosselin. "Sleep architecture in idiopathic hypersomnia." Sleep Medicine 100 (December 2022): S104. http://dx.doi.org/10.1016/j.sleep.2022.05.290.

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8

Jafari, Behrouz. "Sleep Architecture and Blood Pressure." Sleep Medicine Clinics 12, no. 2 (June 2017): 161–66. http://dx.doi.org/10.1016/j.jsmc.2017.02.003.

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9

Walsh, B. Timothy. "Sleep Architecture in Eating Disorders." Archives of General Psychiatry 47, no. 9 (September 1, 1990): 880. http://dx.doi.org/10.1001/archpsyc.1990.01810210088018.

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10

Chan, Martin, Tracy C. H. Wong, Aidan Weichard, Gillian M. Nixon, Lisa M. Walter, and Rosemary S. C. Horne. "Sleep macro-architecture and micro-architecture in children born preterm with sleep disordered breathing." Pediatric Research 87, no. 4 (June 13, 2019): 703–10. http://dx.doi.org/10.1038/s41390-019-0453-1.

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11

Chan, M., T. C. H. Wong, A. Weichard, L. M. Walter, M. J. Davey, G. M. Nixon, and R. S. C. Horne. "Sleep macro-architecture and micro-architecture in children born preterm with sleep disordered breathing." Sleep Medicine 64 (December 2019): S158—S159. http://dx.doi.org/10.1016/j.sleep.2019.11.436.

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12

Kwon, Soonhak, Jaeyoung Choe, and Hyeeun Seo. "Sleep architecture analysis in Korean children with sleep disorders." Journal of Pediatric Neurology 11, no. 03 (July 30, 2015): 165–70. http://dx.doi.org/10.3233/jpn-130616.

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13

VALENCIA-FLORES, MATILDE, DONALD L. BLIWISE, CHRISTIAN GUILLEMINAULT, NANCY PATTERSON RHOADS, and ALEX CLERK. "Gender differences in sleep architecture in sleep apnoea syndrome." Journal of Sleep Research 1, no. 1 (March 1992): 51–53. http://dx.doi.org/10.1111/j.1365-2869.1992.tb00009.x.

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14

Gurbani, Neepa, Stijn L. Verhulst, Chee Tan, and Narong Simakajornboon. "Sleep Complaints and Sleep Architecture in Children With Idiopathic Central Sleep Apnea." Journal of Clinical Sleep Medicine 13, no. 06 (June 15, 2017): 777–83. http://dx.doi.org/10.5664/jcsm.6614.

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15

Martinez-Ramirez, Daniel, Sol De Jesus, Roger Walz, Amin Cervantes-Arriaga, Zhongxing Peng-Chen, Michael S. Okun, Vanessa Alatriste-Booth, and Mayela Rodríguez-Violante. "A Polysomnographic Study of Parkinson’s Disease Sleep Architecture." Parkinson's Disease 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/570375.

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Sleep disturbance is a common nonmotor phenomenon in Parkinson’s disease (PD) affecting patient’s quality of life. In this study, we examined the association between clinical characteristics with sleep disorders and sleep architecture patterns in a PD cohort. Patients underwent a standardized polysomnography study (PSG) in their “on medication” state. We observed that male gender and disease duration were independently associated with obstructive sleep apnea (OSA). Only lower levodopa equivalent dose (LED) was associated with periodic limb movement disorders (PLMD). REM sleep behavior disorder (RBD) was more common among older patients, with higher MDS-UPDRS III scores, and LED. None of the investigated variables were associated with the awakenings/arousals (A/A). Sleep efficiency was predicted by amantadine usage and age, while sleep stage 1 was predicted by dopamine agonists and Hoehn & Yahr severity. The use of MAO-B inhibitors and MDS-UPDRS part III were predictors of sleep stages 2 and 3. Age was the only predictor of REM sleep stage and gender for total sleep time. We conclude that sleep disorders and architecture are poorly predictable by clinical PD characteristics and other disease related factors must also be contributing to these sleep disturbances.
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Nyitrai, Gabriella, Béla Kiss, Bence Farkas, Ottilia Balázs, Pálma Diószegi, Balázs Lendvai, and András Czurkó. "Cariprazine modulates sleep architecture in rats." Journal of Psychopharmacology 35, no. 3 (January 6, 2021): 303–10. http://dx.doi.org/10.1177/0269881120981378.

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Background: Cariprazine is a dopamine D3-preferring D3/D2 receptor partial agonist compound recently introduced to treat schizophrenia and bipolar disorder. Although cariprazine is clinically classified as a low-somnolence drug, to date no detailed polysomnographic study is available on its effect on sleep. Aims: This study examined the acute systemic effects of cariprazine on the rat sleep architecture and electroencephalography spectral power. Methods: Sprague Dawley rats were recorded during their normal sleep period for four hours, and their sleep stages were classified. Results: Cariprazine (0.3 mg/kg i.p.) reduced the time spent in rapid eye movement (REM) sleep and increased REM latency. This dose of cariprazine decreased the gamma (40–80 Hz) band frequency oscillations and increased the theta (4–9 Hz) and alpha (9–15 Hz) frequencies during the wake periods but not during slow-wave sleep. The 0.03 mg/kg dose of cariprazine only increased the alpha power during the wake periods, while the 0.003 mg/kg dose was without any effect. Conclusion: Taken together, the present results suggest that the REM-suppressing effect of cariprazine may be related to its effectiveness in improving depressive symptoms, as various drugs with similar REM-reducing properties effectively treat the depressive state, whereas the gamma power-reducing effect of cariprazine may be indicative of its efficacy in schizophrenia or mania, as similar effects have been observed with other D2 and 5-HT2 receptor antagonist drugs. These data contribute to our understanding of the complex mechanism of action that may stand behind the clinical efficacy of cariprazine.
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17

Ricciardiello, A., L. Mowszowski, H. LaMonica, F. Kumfor, R. Wassing, A. D’Rozario, and S. Naismith. "P120 The Relationship Between Sleep Architecture And Cognition In Late-Life Depression." SLEEP Advances 2, Supplement_1 (October 1, 2021): A60. http://dx.doi.org/10.1093/sleepadvances/zpab014.161.

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Abstract Introduction Depression in older people is associated with changes in sleep, however associations between sleep architecture and cognition have not yet been delineated. We examined sleep architecture in older people with and without depressive symptoms, and relationships with neuropsychological performance. Methods Adults over 50 years underwent overnight polysomnography and memory and executive function tests. Depression and controls groups were defined by a Geriatric Depression Scale-15 cut off score of 6. Sleep architectural outcomes included amount of slow wave sleep (SWS), rapid eye movement (REM) sleep, REM onset latency (ROL), NREM slow wave activity (SWA, 0.5–4 Hz), N2 sleep spindle density and REM density. Results The sample comprised of 71 participants with depressive symptoms and 101 controls (mean age both groups = 64, mean GDS-15 dep= 9.3, con= 1.8). There were no significant group differences in time spent in SWS, REM, REM density or SWA. Those with depressive symptoms had later ROL (p=.008) and less N2 sleep spindles (p=.03) compared to controls. A differential association was observed with less SWS being associated with poor memory recall in the depression group only (z=.342, p=0.008). No associations between sleep and executive function performance were observed. Discussion The link between less time in SWS and poorer memory in those with depressive symptoms could suggest that SWS is particularly pertinent for cognition in depression or that both sleep and cognition mechanisms are influenced by depressive state. Further studies are needed to determine if changes in sleep are linked with underlying neurobiological changes.
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18

Sullivan, Lee, Thomas Scammell, Milena Pavlova, Wei Wang, Jonathan Pham, and Aleksander Videnovic. "0620 Effect Of Antidepressants On Sleep Architecture." Sleep 42, Supplement_1 (April 2019): A247. http://dx.doi.org/10.1093/sleep/zsz067.618.

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19

Shipley, James E., David E. Schteingart, Rajiv Tandon, and Monica N. Starkman. "Sleep Architecture and Sleep Apnea in Patients with Cushing's Disease." Sleep 15, no. 6 (November 1992): 514–18. http://dx.doi.org/10.1093/sleep/15.6.514.

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20

Chaneva, Orlina. "Effects of Levetiracetam on Sleep Architecture and Daytime Sleepiness." Folia Medica 63, no. 5 (October 31, 2021): 631–36. http://dx.doi.org/10.3897/folmed.63.e57985.

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Sleep is a reversible behavioural state of perceptual disengagement from and unresponsiveness to the environment, which is required for neural plasticity and memory consolidation. Sleep disorders are common in patients with epilepsy. The main causes of sleep disturbances are coexisting sleep disorders, impact of seizures and epileptic activity, and the effects of antiepileptic drugs. Sleep and epilepsy have reciprocal effects – on one hand electrical brain activity during sleep is a strong modulator of epileptic activity and on the other epileptic activity during sleep may disrupt sleep architecture. The most common side effects of anticonvulsants include alterations in sleep architecture and variation in the degree of daytime sleepiness. Their effects on sleep and daytime sleepiness are variable and it is often difficult to distinguish whether the improved seizure control and epileptic activity is a direct result of anticonvulsants or associated with improved sleep quality. Levetiracetam is a new generation anticonvulsant used to treat both focal and generalized epilepsy. Its satisfactory safety and tolerability explain its wide usage in the clinical practice and necessitates more profound knowledge on its effects on sleep quality. There have been few reports about its effects on sleep architecture and daytime sleepiness. A short summary of the studies concerning this topic is presented. Main disadvantages of the studies are: the small sample size, comparison of the results obtained in healthy volunteers with patients with epilepsy, short observation duration, variations of dosage, different evaluation modalities and concomitant AED therapy. Future prospective studies on subjective and objective effects of Levetiracetam on sleep architecture and daytime sleepiness are needed to better understand its impact on sleep in order to improve epilepsy patients’ quality of life, seizure control and sleep disturbances.
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21

Chung, Frances, Pu Liao, Balaji Yegneswaran, Colin M. Shapiro, and Weimin Kang. "Postoperative Changes in Sleep-disordered Breathing and Sleep Architecture in Patients with Obstructive Sleep Apnea." Anesthesiology 120, no. 2 (February 1, 2014): 287–98. http://dx.doi.org/10.1097/aln.0000000000000040.

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Abstract Background: Anesthetics, analgesics, and surgery may profoundly affect sleep architecture and aggravate sleep-related breathing disturbances. The authors hypothesized that patients with preoperative polysomnographic evidence of obstructive sleep apnea (OSA) would experience greater changes in these parameters than patients without OSA. Methods: After obtaining approvals from the Institutional Review Boards, consented patients underwent portable polysomnography preoperatively and on postoperative nights (N) 1, 3, 5, and 7 at home or in hospital. The primary and secondary outcome measurements were polysomnographic parameters of sleep-disordered breathing and sleep architecture. Results: Of the 58 patients completed the study, 38 patients had OSA (apnea hypopnea index [AHI] >5) with median preoperative AHI of 18 events per hour and 20 non-OSA patients had median preoperative AHI of 2. AHI was increased after surgery in both OSA and non-OSA patients (P < 0.05), with peak increase on postoperative N3 (OSA vs. non-OSA, 29 [14, 57] vs. 8 [2, 18], median [25th, 75th percentile], P < 0.05). Hypopnea index accounted for 72% of the postoperative increase in AHI. The central apnea index was low (median = 0) but was significantly increased on postoperative N1 in only non-OSA patients. Sleep efficiency, rapid eye movement sleep, and slow-wave sleep were decreased on N1 in both groups, with gradual recovery. Conclusions: Postoperatively, sleep architecture was disturbed and AHI was increased in both OSA and non-OSA patients. Although the disturbances in sleep architecture were greatest on postoperative N1, breathing disturbances during sleep were greatest on postoperative N3.
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22

Sweet, Lauren, Sushrusha Arjyal, Jeffrey A. Kuller, and Sarah Dotters-Katz. "A Review of Sleep Architecture and Sleep Changes During Pregnancy." Obstetrical & Gynecological Survey 75, no. 4 (April 2020): 253–62. http://dx.doi.org/10.1097/ogx.0000000000000770.

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23

Capaldi, Vincent F., and Jeffrey A. Mikita. "ASSOCIATIONS BETWEEN SLEEP ARCHITECTURE AND INDICES OF OBSTRUCTIVE SLEEP APNEA." Chest 134, no. 4 (October 2008): 150P. http://dx.doi.org/10.1378/chest.134.4_meetingabstracts.p150001.

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24

Ondze, B., F. Espa, Y. Dauvilliers, M. Billiard, and A. Besset. "Sleep architecture, slow wave activity and sleep spindles in mild sleep disordered breathing." Clinical Neurophysiology 114, no. 5 (May 2003): 867–74. http://dx.doi.org/10.1016/s1388-2457(02)00389-9.

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25

Morgan, Peter T., Edward F. Pace-Schott, Zakir H. Sahul, Vladimir Coric, Robert Stickgold, and Robert T. Malison. "Sleep architecture, cocaine and visual learning." Addiction 103, no. 8 (August 2008): 1344–52. http://dx.doi.org/10.1111/j.1360-0443.2008.02233.x.

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26

Zhang, Lin, Jonathan Samet, Brian Caffo, and Naresh M. Punjabi. "Cigarette Smoking and Nocturnal Sleep Architecture." American Journal of Epidemiology 164, no. 6 (July 7, 2006): 529–37. http://dx.doi.org/10.1093/aje/kwj231.

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27

Ayala-Guerrero, Fructuoso, Graciela Mexicano, Valentín González, and Mario Hernandez. "Effect of oxcarbazepine on sleep architecture." Epilepsy & Behavior 15, no. 3 (July 2009): 287–90. http://dx.doi.org/10.1016/j.yebeh.2009.04.013.

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28

Brown, Terry M., Bruce Black, and Thomas W. Uhde. "The sleep architecture of social phobia." Biological Psychiatry 35, no. 6 (March 1994): 420–21. http://dx.doi.org/10.1016/0006-3223(94)90009-4.

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29

Zhao, Hai Qiang, Xiang Qian Li, and Da Cheng Bi. "Sleep Analysis Based on Non-Load Detection Technique and Fuzzy Logic." Applied Mechanics and Materials 401-403 (September 2013): 1458–61. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1458.

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Polysomnogram (PSG) has been the standard of the Sleep Analysis for many years. However it is complicated to operate, and attaches a lot of electrodes on the body. So the development of a non-load sleep architecture stage is necessary. Under the support of non-load detection technique, a new method for sleep architecture which takes advantage of variation of heart beat interval, respiration period body movement and the other physiological parameters during sleep has been studied. Due to sleep architecture it differs person to person, so the result of sleep architecture stage involves great uncertainty, using fuzzy logic theory achieves uncertainty analysis, and it can produce the more accurately result. This method has been tested on with PSG result as contrast, sleep analysis based on non-load detection technique and fuzzy logic has a high compliance rate. The method is qualified as being useful in clinical application.
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30

Piltch, O., E. Flynn-Evans, and R. Stickgold. "0278 Changes in Sleep Architecture During Long-Duration Spaceflight." Sleep 43, Supplement_1 (April 2020): A105—A106. http://dx.doi.org/10.1093/sleep/zsaa056.276.

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Abstract Introduction Previous projects have shown that astronauts sleep significantly worse in mission than on Earth. However, it is unclear how sleep architecture is influenced by microgravity. Such information could inform our understanding of the adaptive mechanisms NREM and REM sleep on Earth. We investigated how sleep architecture is affected during spaceflight relative to on Earth. Methods Sleep architecture was assessed using the Nightcap monitor before (pre-flight, n=113 nights), during (in-flight, n=68 night), and after (post-flight, n=61 nights) missions aboard the Mir space station for four cosmonauts and one astronaut. We compared hand-scored REM/NREM/wake staging in/post-flight to a pre-flight baseline using mixed-effects regression to account for subject variability. We also used mixed-effects modeling to assess changes over time in different phases of the mission. Results Participants averaged an hour less sleep in space (5.4 ± 0.66) compared to pre-flight (6.6 ± 0.70; p < .0001) and spent significantly more time awake in bed, leading to a 20.8% reduction in sleep efficiency. Sleep architecture was also affected by spaceflight: percentages of time in bed for NREM and REM decreased significantly by 9.9% and 26.6% respectively. REM latency nearly doubled during spaceflight to 88 ± 3 minutes. All metrics were stable across the in-flight phase, with the exception of an increase in sleep latency (β: 0.47; p = 0.0009) and a decrease in time in bed (β = 0.85; p < .0001). Conclusion These data substantiate previous findings focused on sleep continuity in microgravity. A variety of metrics demonstrate worse sleep in space. NREM and REM time significantly decreased alongside an increase in wakefulness, but the relative proportion of these stages also changed significantly: REM sleep suffered more than NREM in spaceflight conditions. These longitudinal data add value to our nebulous understanding of how sleep functions in microgravity. Support Mary Gordon Roberts Fellowship, NAS 9-19406, NIMH #MH-48,832, The MacArthur Foundation Mind-Body Network, and Healthdyne Technologies
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31

Siriwat, R., Y. Xu, M. M. Hossain, and N. Simakajornboon. "0848 Sleep Manifestations And Sleep Architecture In Children With Eosinophilic Esophagitis." Sleep 41, suppl_1 (April 2018): A314. http://dx.doi.org/10.1093/sleep/zsy061.847.

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32

Gerry, Arianna Aldridge, Booil Jo, Oxana Palesh, Jamie Zeitzer, Eric Neri, and David Spiegel. "Psychosocial correlates of sleep architecture in women with advanced breast cancer." Journal of Clinical Oncology 30, no. 15_suppl (May 20, 2012): 9051. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.9051.

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9051 Background: Sleep disturbance is prevalent among metastatic breast cancer (MBC) patients and few studies have objectively evaluated this problem using polysomnography (PSG). Disturbed sleep negatively affects quality of life. The current study examines the relationship of mood and family structure with sleep parameters assessed over three nights of PSG (2 at-home, 1 in-lab). Methods: MBC patients (n = 103) and healthy controls (n = 27) were recruited. Patients were 57.8 years (SD = 7.7), non-Hispanic white (86.3%), and had Karnofsky ratings of at least 70%. Multiple regression analyses assessed relationships among depression, cohabitation, and sleep parameters. Results: Among patients, sleep architecture was significantly related to depression and marital status/cohabitation. Women reporting more depressive symptoms had less deep sleep: lower percentage (B = -.26, p = .01) and fewer minutes of REM (B = -.23, p = .02), lower % (B = -.25, p = .02) and fewer minutes of stage 2 sleep (B = -.28, p = .01), and more % stage 1 sleep (B = .28, p = .01). Marriage/cohabitation was positively related to sleep quality indicators: less wake time after sleep onset (B = -.20, p = .05), better sleep efficiency (B = .28, p = .01), more total sleep time (B = .30, p < .01), more minutes of REM (B = .23, p = .02), more stage 2 sleep (B = .27, p < .01), and less % stage 1 sleep (B = -.27, p = .01). Relative to healthy women, patients had more sleep stage transitions/hour (B = .21, p = .03), more awakenings (B = .18, p = .04), and more time awake after sleep onset (B = .21, p = .02). Slow wave (deep, non-REM) sleep was shorter for patients as measured by both minutes (B = -.20, p = .04) and % of stage 4 sleep (B = -.23, p = .02). Conclusions: Depressed patients or those living alone have greater reductions in deep sleep. Relative to healthy women, patients’ sleep disturbance and quality was worse. These findings demonstrate that the architecture of deep sleep is linked to depression and family structure.
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Matsumoto, Tohru. "Suvorexant improves intractable nocturnal enuresis by altering sleep architecture." BMJ Case Reports 14, no. 3 (March 2021): e239621. http://dx.doi.org/10.1136/bcr-2020-239621.

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Little is known about sleep-based approaches to the treatment of nocturnal enuresis (NE). This report is the first to describe the successful use of suvorexant, an orexin receptor antagonist, in a 12-year-old boy with intractable NE. With suvorexant, the frequency of NE gradually decreased from 14 of 14 days (100%) to 5 of 14 days (35.7%). Sleep polysomnography indicated that rapid eye movement (REM) sleep increased from 101.5 min (19.9%) before suvorexant to 122.1 min (24.9%) with suvorexant. Furthermore, N2 increased from 233 min (45.6%) to 287.5 min (58.7%) during non-REM sleep. In contrast, N3 decreased from 160 min (31.3%) to 65 min (13.3%) during non-REM sleep. Suvorexant appeared to lighten the depth of sleep and alter sleep architecture. Although the application of an insomnia medication for treating NE seems paradoxical, suvorexant reduced the frequency of NE in patients with severe intractable NE. Thus, this treatment strategy warrants further examination.
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34

Fuller, Kristi H., William F. Waters, Paul G. Binks, and Tai Anderson. "Generalized Anxiety and Sleep Architecture: A Polysomnographic Investigation." Sleep 20, no. 5 (May 1997): 370–76. http://dx.doi.org/10.1093/sleep/20.5.370.

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35

Duggan, K. A., D. M. Turk, J. P. Hollander, and M. H. Hall. "0153 Personality and Sleep Architecture in University Students." Sleep 41, suppl_1 (April 2018): A59—A60. http://dx.doi.org/10.1093/sleep/zsy061.152.

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36

Curtis, Ashley F., Mary B. Miller, Himangshu Rathinakumar, Michael Robinson, Roland Staud, Richard B. Berry, and Christina S. McCrae. "0846 Opioid Use and Sleep Architecture in Fibromyalgia." Sleep 42, Supplement_1 (April 2019): A339—A340. http://dx.doi.org/10.1093/sleep/zsz067.844.

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37

Lee, Young Jeong, Hyun Tag Kang, Ji Ho Choi, Ji Eun Moon, Young Jun Lee, Tae Kyung Ha, and Ho Dong Lee. "Validation Study of a Contactless Monitoring Device for Vital Signs During Sleep and Sleep Architecture in Adults With Sleep-Disordered Breathing." Sleep Medicine Research 12, no. 2 (December 31, 2021): 118–24. http://dx.doi.org/10.17241/smr.2021.01144.

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Background and Objective Few clinical studies have investigated the accuracy of non-contact monitoring devices for vital signs during sleep and sleep architecture in adults with sleep-disordered breathing (SDB). The purpose of this study was to assess the accuracy of a contactless monitoring device for 1) heart rate, respiratory rate, and body temperature during sleep and 2) sleep architecture in adults with SDB.Methods Thirty-five consecutive adults, who visited a tertiary university hospital due to suspected SDB, underwent a complete physical examination and standard (level 1) polysomnography plus body temperature measurement with a contactless monitoring device (HoneyCube System).Results A total of 30 subjects (mean age = 46.43 ± 12.9 years; male: female = 22: 8) were finally included, and five subjects were excluded due to inadequate data in this study. The intraclass correlation coefficient values of heart rate, respiratory rate, and body temperature measured using the contactless monitoring device were 0.91 (95% confidence interval [CI]: 0.892, 0.928), 0.937 (95% CI: 0.919, 0.954), and 0.918 (95% CI: 0.895, 0.941), respectively. The mean kappa value for sleep architecture was 0.562 (95% CI: 0.529, 0.596).Conclusions The contactless monitoring device showed good (almost perfect) agreement in terms of heart rate, respiratory rate, and body temperature and moderate agreement in sleep architecture with contact measurements. These results suggest that the HoneyCube System is a good candidate device for sleep monitoring at home and in multiple accommodations.
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38

Gjergja Juraški, Romana, Mirjana Turkalj, Davor Plavec, Boro Nogalo, Ivana Marušić, Marija Miloš, Srđan Ante Anzić, Matilda Kovač Šižgorić, and Feodora Stipoljev. "Sleep phenotype in children with Down syndrome – altered sleep architecture and sleep-disordered breathing." Paediatria Croatica 63, no. 4 (December 20, 2019): 179–84. http://dx.doi.org/10.13112/pc.2019.37.

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Andersen, M. L., I. B. Antunes, A. Silva, T. A. F. Alvarenga, E. C. Baracat, and S. Tufik. "Effects of sleep loss on sleep architecture in Wistar rats: Gender-specific rebound sleep." Progress in Neuro-Psychopharmacology and Biological Psychiatry 32, no. 4 (May 2008): 975–83. http://dx.doi.org/10.1016/j.pnpbp.2008.01.007.

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Siriwat, Rasintra, Neepa Gurbani, Yuanfang Xu, Md Monir Hossain, and Narong Simakajornboon. "Sleep manifestations, sleep architecture in children with Eosinophilic esophagitis presenting to a sleep clinic." Sleep Medicine 68 (April 2020): 160–66. http://dx.doi.org/10.1016/j.sleep.2019.08.018.

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Kappus, Matthew R., David J. Leszczyszyn, Leonard Moses, Shekar Raman, Douglas M. Heuman, and Jasmohan S. Bajaj. "Effect of Obstructive Sleep Apnea on the Sleep Architecture in Cirrhosis." Journal of Clinical Sleep Medicine 09, no. 03 (March 15, 2013): 247–51. http://dx.doi.org/10.5664/jcsm.2488.

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Durdik, Peter, Anna Sujanska, Stanislava Suroviakova, Melania Evangelisti, Peter Banovcin, and Maria Pia Villa. "Sleep Architecture in Children With Common Phenotype of Obstructive Sleep Apnea." Journal of Clinical Sleep Medicine 14, no. 01 (January 15, 2018): 9–14. http://dx.doi.org/10.5664/jcsm.6868.

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GOH, DANIEL Y T., PATRICIA GALSTER, and CAROLE L MARCUS. "Sleep Architecture and Respiratory Disturbances in Children with Obstructive Sleep Apnea." American Journal of Respiratory and Critical Care Medicine 162, no. 2 (August 2000): 682–86. http://dx.doi.org/10.1164/ajrccm.162.2.9908058.

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Jang, James, Kamal Naqvi, Eric Felner, and Narong Simakajornboon. "SLEEP COMPLAINTS AND SLEEP ARCHITECTURE IN CHILDREN WITH GROWTH HORMONE DEFICIENCY." Journal of Investigative Medicine 52 (January 2004): S311—S312. http://dx.doi.org/10.1097/00042871-200401001-00859.

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Saitoh, Y., M. Miyazaki, A. Tsuru, and Y. Takahashi. "REM sleep without atonia affects sleep architecture in multiple system atrophy." Parkinsonism & Related Disorders 79 (October 2020): e102-e103. http://dx.doi.org/10.1016/j.parkreldis.2020.06.372.

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BIANCHI, MATT T., NATHANIEL A. EISEMAN, SYDNEY S. CASH, JOSEPH MIETUS, CHUNG-KANG PENG, and ROBERT J. THOMAS. "Probabilistic sleep architecture models in patients with and without sleep apnea." Journal of Sleep Research 21, no. 3 (September 28, 2011): 330–41. http://dx.doi.org/10.1111/j.1365-2869.2011.00937.x.

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Ghadami, Mohammad Rasoul. "Obstructive sleep apnea and hypertension: the role of altered sleep architecture." Sleep Medicine 51 (November 2018): 124. http://dx.doi.org/10.1016/j.sleep.2018.06.019.

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Elmenhorst, Eva-Maria, David Elmenhorst, Norbert Luks, Hartmut Maass, Martin Vejvoda, and Alexander Samel. "Partial sleep deprivation: Impact on the architecture and quality of sleep." Sleep Medicine 9, no. 8 (December 2008): 840–50. http://dx.doi.org/10.1016/j.sleep.2007.07.021.

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Shahveisi, Kaveh, Amir Jalali, Mohammad Raman Moloudi, Shahla Moradi, Azad Maroufi, and Habibolah Khazaie. "Sleep Architecture in Patients With Primary Snoring and Obstructive Sleep Apnea." Basic and Clinical Neuroscience Journal 9, no. 2 (March 1, 2018): 147–56. http://dx.doi.org/10.29252/nirp.bcn.9.2.147.

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Miyazaki, Soichiro, Yoshiaki Itasaka, Kazuo Ishikawa, and Kiyoshi Togawa. "Influence of the Electric Stimulation of Sleep Assist on Sleep Architecture." Practica oto-rhino-laryngologica. Suppl. 1997, Supplement94 (1997): 26–31. http://dx.doi.org/10.5631/jibirinsuppl1986.1997.supplement94_26.

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