Results 31 to 40 of about 3,061,906 (307)

Devices for Ambulatory Monitoring of Sleep-Associated Disorders in Children with Neurological Diseases

open access: yesChildren, 2017
Good sleep quality is essential for a child’s wellbeing. Early sleep problems have been linked to the later development of emotional and behavioral disorders and can negatively impact the quality of life of the child and his or her family.
Adriana Ulate-Campos   +2 more
doaj   +1 more source

Sleep monitoring system

open access: yesInternational Journal of Computer Applications, 2014
Today world is seeking for immediate testing kit with support of close notification to user via their mobile phones or through the remote wireless node instead of always consulting with physician. Necessity of this kind of systems for emergency treatment basis, supports the life saving tasks for anyone whoever facing the problem like sleep disorders ...
HENEGHAN CONOR, REDMOND STEPHEN
openaire   +7 more sources

Factors associated with sleep disorders in elderly patients with Parkinson’s disease and cognitive impairment and the nomogram model development

open access: yesFrontiers in Aging Neuroscience
BackgroundSleep disorders are a common complication in elderly patients with Parkinson’s disease and cognitive impairment. This retrospective cohort study investigates the factors associated with sleep disorders in elderly patients with Parkinson’s ...
Yimei Zhang, Liyan Sun, Haitao Chi
doaj   +1 more source

A Blanket Accommodative Sleep Posture Classification System Using an Infrared Depth Camera: A Deep Learning Approach with Synthetic Augmentation of Blanket Conditions

open access: yesSensors, 2021
Surveillance of sleeping posture is essential for bed-ridden patients or individuals at-risk of falling out of bed. Existing sleep posture monitoring and classification systems may not be able to accommodate the covering of a blanket, which represents a ...
Andy Yiu-Chau Tam   +5 more
doaj   +1 more source

Machine Learning‐Enabled Noncontact Sleep Structure Prediction

open access: yesAdvanced Intelligent Systems, 2022
Automated, effective and efficient sleep‐stage monitoring and structure analysis is an essential enabling procedure for healthcare automation. Sleep diagnosis by polysomnography is a golden standard but expensive procedure involving huge effort from ...
Qian Zhai   +6 more
doaj   +1 more source

The relationship between sleep disturbance and depression [PDF]

open access: yes, 2006
This paper focuses on several aspects of the relationship between sleep and depression, with particular attention to objective factors and subjective perceptions.
Mayers, Andrew G.   +5 more
core   +1 more source

Improved Sweat Artifact Tolerance of Screen-Printed EEG Electrodes by Material Selection-Comparison of Electrochemical Properties in Artificial Sweat

open access: yesIEEE Access, 2019
The accurate diagnosis of sleep disorders requires an electroencephalography (EEG) recording. However, in-home EEG-based sleep monitoring has been hindered by the present cumbersome electrode systems which are impractical for patient self-application. To
Laura Kalevo   +7 more
doaj   +1 more source

Development of the athlete sleep behavior questionnaire: A tool for identifying maladaptive sleep practices in elite athletes [PDF]

open access: yes, 2018
INTRODUCTION: Existing sleep questionnaires to assess sleep behaviors may not be sensitive in determining the unique sleep challenges faced by elite athletes.
Shona L Halson   +5 more
core   +1 more source

Blood pressure monitoring in sleep: time to wake up [PDF]

open access: yes, 2020
Hypertension is a highly common condition with well-established adverse consequences. Ambulatory blood pressure monitoring has repeatedly been shown to better predict cardiovascular outcomes and mortality, compared to single office visit blood pressure ...
박성하
core   +1 more source

Thermal Vision for Sleep Apnea Monitoring [PDF]

open access: yes, 2009
The present paper proposes a novel methodology to monitor sleep apnea through thermal imaging. First, the nostril region is segmented and it is tracked over time via a network of cooperating probabilistic trackers. Then, the mean thermal signal of the nostril region, carrying the breathing information, is analyzed through wavelet decomposition.
Jin Fei   +2 more
openaire   +3 more sources

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