scholarly journals Validation of a Wireless, Self-Application, Ambulatory Electroencephalographic Sleep Monitoring Device in Healthy Volunteers

2016 ◽  
Vol 12 (11) ◽  
pp. 1443-1451 ◽  
Author(s):  
Patrick H. Finan ◽  
Jessica M. Richards ◽  
Charlene E. Gamaldo ◽  
Dingfen Han ◽  
Jeannie Marie Leoutsakos ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Monitoring Device ◽  
Sleep Monitoring

Evaluation of a non-contact ultra-wideband bio-radar sleep monitoring device for screening of sleep breathing disease

2021 ◽  
Author(s):  
Zhijing Wei ◽  
Jiahuan Xu ◽  
WenYang Li ◽  
Xingjian Wang ◽  
Zheng Qin ◽  
...  
Keyword(s):  
Ultra Wideband ◽  
Monitoring Device ◽  
Sleep Monitoring

scholarly journals 0576 Validation of the Contact-free Sleep Monitoring Device for Diagnosis of Obstructive Sleep Apnea in Chinese Adults

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A229-A229
Author(s):  
Xiaosong Dong ◽  
Hui Zhi ◽  
Jianan Chen ◽  
Fang Han ◽  
Rui Zhao
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Monitoring Device ◽  
Chinese Adults ◽  
Sleep Monitoring ◽  
Obstructive Sleep ◽  
Contact Free

scholarly journals A Novel Home Sleep Monitoring Device and Brief Sleep Intervention for Bipolar Disorder: Feasibility, Tolerability, and Preliminary Effectiveness

2013 ◽  
Vol 38 (1) ◽  
pp. 55-61 ◽  
Author(s):  
Louisa G. Sylvia ◽  
Stephanie Salcedo ◽  
Matt T. Bianchi ◽  
Anna K. Urdahl ◽  
Andrew A. Nierenberg ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Monitoring Device ◽  
Sleep Monitoring

scholarly journals Validation of the Sleep-Wake Scoring of a New Wrist-Worn Sleep Monitoring Device

2018 ◽  
Vol 14 (06) ◽  
pp. 1057-1062 ◽  
Author(s):  
Wilfred R. Pigeon ◽  
Maddison Taylor ◽  
Ashley Bui ◽  
Courteney Oleynk ◽  
Patrick Walsh ◽  
...  
Keyword(s):  
Monitoring Device ◽  
Sleep Monitoring

scholarly journals POS0957 THE PREVALENCE AND FACTORS RELATED TO SLEEP APNOEA IN ANKYLOSING SPONDYLITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 743.1-743
Author(s):  
H. Forsblad-D’elia ◽  
A. Wiginder ◽  
C. Sahlin-Ingridsson ◽  
M. Geijer ◽  
K. Franklin ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ankylosing Spondylitis ◽  
Odds Ratio ◽  
Sleep Apnoea ◽  
Monitoring Device ◽  
Regression Analyses ◽  
Sleep Monitoring ◽  
Obstructive Sleep ◽  
Adjusted Logistic Regression ◽  
Age And Sex

Background:An increased prevalence of obstructive sleep apnoea (OSA) has been suggested in ankylosing spondylitis (AS), but few controlled studies have been performed.Objectives:We thus aimed to study the prevalence of OSA in patients with AS compared to controls and to study if disease-related and non-disease-related factors were determinants of OSA in AS patients.Methods:One hundred and fifty-five patients with AS were included in the Backbone study that investigates severity and comorbidities in AS. Controls were recruited from the Swedish CardioPulmonary bioImage Study (SCAPIS). Participants were asked to be examined with a home sleep-monitoring device during one night’s sleep to evaluate the presence of OSA. For each AS patient, 45-70 years, four controls were matched for sex, age, weight and height. OSA was defined as an apnoea-hypopnea-index ≥5 events/hour.Results:In total, 63/155(40.6%) patients with AS were examined with a home sleep-monitoring device out of which 46 patients were 45-70 years and therefore matched (mean age 57.2±7.5years, 30(65.2%) men) with 179 controls (mean age 57.2±4.5years, 123(68.7%) men). Twenty-two out of 46(47.8%) patients with AS vs. 91/179(50.8%) controls had OSA, p=0.72. No differences measurements evaluating OSA were noted in AS vs. controls. In logistic regression analysis, based on all 63 examined AS-patients, several AS-related variables were associated with OSA but after adjusting for age and sex, only higher age and BMI, remained to be significant determinants of OSA, Table 1.Table 1.Univariable and age- and sex-adjusted logistic regression analyses with obstructive sleep apnoea as dependent variable in 63 patients with ankylosing spondylitis.VariablesUnivariable logistic regression analyses, Odds Ratio (95%CI)PAge- and sex-adjusted logistic regression analyses,Odds Ratio (95%CI)PSex, male1.9(0.6-5.5)0.251.5(0.4-4.8)0.53Age1.1(1.0-1.2)0.0021.1(1.0-1.2)0.002BMI1.4(1.1-1.7)0.0011.6(1.2- 2.2)0.001Duration of symptoms1.1(1.0-1.1)0.0281.0(0.9-1.1)0.79BASMI1.9(1.3-2.9)0.0021.5(0.9 -2.5)0.87BASFI1.4(1.0-2.0)0.0381.3(0.9-2.0)0.88≥1 Syndesmophyte3.9(1.3-12.2)0.0173.0(0.8-11.3)0.10mSASSS1.0(1.0-1.1)0.0471.0(0.98-1.05)0.25Metabolic syndrome4.3(1.5-12.9)0.0081.4(0.3-6.6)0.69Epworth Sleep Scale1.2(1.0-1-3)0.0231.2(1.0-1.4)0.29Conclusion:In this case-control study, patients with AS did not have a higher prevalence of OSA compared to controls. AS patients with OSA had higher BMI and were older compared to patients without OSA.Disclosure of Interests:None declared.

A miniature home-based sleep monitoring device

2015 ◽  
Author(s):  
Piyanuch Silapachote ◽  
Ananta Srisuphab ◽  
Thanapat Bhunnachet ◽  
Nuttanit Matrakool
Keyword(s):  
Monitoring Device ◽  
Sleep Monitoring ◽  
Home Based

scholarly journals Performance of a Portable Sleep Monitoring Device in Individuals with High Versus Low Sleep Efficiency

2016 ◽  
Vol 12 (01) ◽  
pp. 95-103 ◽  
Author(s):  
Rachel R. Markwald ◽  
Sara C. Bessman ◽  
Seth A. Reini ◽  
Sean P.A. Drummond
Keyword(s):  
Sleep Efficiency ◽  
Monitoring Device ◽  
Sleep Monitoring ◽  
Portable Sleep Monitoring

scholarly journals Validation of Contact-Free Sleep Monitoring Device with Comparison to Polysomnography

2017 ◽  
Vol 13 (03) ◽  
pp. 517-522 ◽  
Author(s):  
Asher Tal ◽  
Zvika Shinar ◽  
David Shaki ◽  
Shlomi Codish ◽  
Aviv Goldbart
Keyword(s):  
Monitoring Device ◽  
Sleep Monitoring ◽  
Contact Free
Sign in / Sign up

Export Citation Format

Share Document