Overview of sleep & sleep disorders

S Chokroverty - Indian Journal of Medical Research, 2010 - journals.lww.com
Sleep is defined on the basis of behavioural and physiological criteria dividing it into two
states: non rapid eye movement (NREM) sleep which is subdivided into three stages (N1 …

Association of long-term exposure to air pollution with chronic sleep deprivation in South Korea: a community-level longitudinal study, 2008–2018

J Park, C Kang, J Min, E Kim, I Song, H Jang… - Environmental …, 2023 - Elsevier
Background and objective Although there are many findings about the effects of fine
particulate matter (PM 2.5) and sleep deprivation on health respectively, the association …

Epidemiología de los trastornos del sueño en población mexicana: seis años de experiencia en un centro de tercer nivel

MÁC Ortiz, OS Escandón, JAA Islas… - Anales Médicos de la …, 2016 - medigraphic.com
Antecedentes: Las principales quejas relacionadas con los problemas de sueño y que
solicitan atención médica son insomnio, somnolencia excesiva diurna, ronquido y …

A novel partially connected cooperative parallel PSO-SVM algorithm: Study based on sleep apnea detection

Y Maali, A Al-Jumaily - 2012 IEEE Congress on Evolutionary …, 2012 - ieeexplore.ieee.org
Sleep disorders are common in a general population. It effect one in 5 adults and has
several short term and long term bad side effects on health. Sleep apnea (SA) is the most …

[HTML][HTML] Sleep and exercise among young doctors in a tertiary care hospital in India: a pilot cross-sectional study

A Priya, E Tharion - Journal of Lifestyle Medicine, 2022 - ncbi.nlm.nih.gov
Background Limited information is available on the sleep and propensity for daytime
sleepiness in young medical doctors of India. Methods The 2-week self-reported data …

SCL-SSC: Supervised Contrastive Learning for Sleep Stage Classification

CB Kumar - Authorea Preprints, 2023 - techrxiv.org
In this study, we have proposed SCL-SSC (Supervised Contrastive Learning for Sleep Stage
Classification), a deep learning-based framework for sleep stage classification which …

[HTML][HTML] Association between discrimination in the workplace and insomnia symptoms

S Ju, SS Cho, JI Kim, H Ryu, H Kim - Annals of Occupational and …, 2023 - ncbi.nlm.nih.gov
Background In Korea, little research has focused on the relationship between discrimination
in the workplace and sleep health. Thus, this study aims to investigate the association …

Automated detecting sleep apnea syndrome: A novel system based on genetic SVM

Y Maali, A Al-Jumaily - 2011 11th International Conference on …, 2011 - ieeexplore.ieee.org
Sleep Apnea (SA) is one of the common symptoms and important part of sleep disorders. It
has consequences that affect all daily life activities and present danger to the patient and/or …

Signal selection for sleep apnea classification

Y Maali, A Al-Jumaily - AI 2012: Advances in Artificial Intelligence: 25th …, 2012 - Springer
This paper presents a method for signals and features selection when classifying sleep
apnea. This study uses a novel hierarchical parallel particle swarm optimization structure as …

Self-advising SVM for sleep apnea classification

Y Maali, A Al-Jumaily, L Laks - CEUR Workshop Proceedings, 2012 - opus.lib.uts.edu.au
In this paper Self-Advising SVM, a new proposed version of SVM, is investigated for sleep
apnea classification. Self-Advising SVM tries to trans-fer more information from training …