Results 41 to 50 of about 38,059 (319)
Jae Myeong Kang,1,2,* Seo-Eun Cho,2,* Kyoung-Sae Na,2 Seung-Gul Kang1,2 1Sleep Medicine Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea; 2Department of Psychiatry, Gil Medical Center, Gachon University ...
Kang JM, Cho SE, Na KS, Kang SG
doaj
Отсутствие объективных методов диагностики депрессивных состояний, а также надежных показателей эффективности антидепрессивной терапии и качества ремиссии диктует необходимость поиска нейробиологических маркеров.
Манасевич, А. Г.+2 more
doaj +1 more source
Parkinson's disease (PD) is a neurodegenerative disorder characterized by α‐synuclein aggregation in neurons. Recent advances suggest α‐synuclein aggregates could serve as a biomarker for PD and related synucleinopathies. This study used surface‐based fluorescence intensity distribution analysis (sFIDA) to measure α‐synuclein aggregates in urine ...
Laura Müller+9 more
wiley +1 more source
Evaluation of the Garmin Vivofit 4 for assessing sleep in youth experiencing sleep disturbances
Objective Wearable monitors are increasingly used to assess sleep. However, validity is unknown for certain monitors and populations. We tested the Garmin Vivofit 4 in a pediatric clinical sample.
Paul R Hibbing+10 more
doaj +1 more source
Facilities of different methods of automatic recognition of sleep stages [PDF]
<p>The gole of the research is to consider the information content in application of different fractal methods of deterministic chaos to the automated recognition of sleep phases in computer electroencephalogram (EEG).
Erofeev A.E.+4 more
doaj
ABSTRACT Objective Smartphone technology presents a promising path toward expanding access to evidence‐based eating disorder assessment and treatment. Despite rapid technological advances, research has yet to harness these systems in ways that make personalized digital health care a clinical reality.
Jake Linardon, John Torous
wiley +1 more source
Deep transfer learning for improving single-EEG arousal detection [PDF]
Datasets in sleep science present challenges for machine learning algorithms due to differences in recording setups across clinics. We investigate two deep transfer learning strategies for overcoming the channel mismatch problem for cases where two datasets do not contain exactly the same setup leading to degraded performance in single-EEG models ...
arxiv +1 more source
Abstract Objective The systematic use of pulsatile corticosteroid therapy (PCT) in children with drug‐resistant epilepsy has been shown to reduce epileptic activity. However, it remains unclear how long this effect will last. The objective of this study was therefore to evaluate the stability of the effect of PCT by assessing the interictal epileptic ...
Katharina Schiller+9 more
wiley +1 more source
Spectral Analysis of Polysomnography in Narcolepsy [PDF]
This study was conducted to identify differences between people with narcolepsy and the normal control of delta and theta activity using electroencephalogram (EEG) spectrum analysis of nocturnal polysomnography (PSG).Seven narcolepsy patients and seven age-sex matched normal controls underwent PSG and multiple sleep latency tests.
Wan Seok Seo, Ho Dong Choi, Seok Ho Yun
openaire +2 more sources
Coronary flow reserve is impaired in patients with obstructive sleep apnea
Study Objectives: Obstructive sleep apnea (OSA) is common in adult populations. Accumulating data indicate that it is independently associated with a variety of cardiovascular diseases and has prognostic importance in affected cases.
Serife Savas Bozbas+3 more
doaj +1 more source