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Introduction: Polysomnography (PSG) is the primary tool for sleep monitoring and the diagnosis of sleep disorders. Recent advances in signal analysis make it possible to reveal more information from this rich data source. Furthermore, many innovative sleep monitoring techniques are being developed that are less obtrusive, easier to use over long time periods and in the home situation. Here, we describe the methods of the Sleep and Obstructive Sleep Apnoea Monitoring with Non-Invasive Applications (SOMNIA) project, yielding a database combining clinical PSG with advanced unobtrusive sleep monitoring modalities in a large cohort of patients with various sleep disorders. The SOMNIA database will facilitate the validation and assessment of the diagnostic value of the new techniques, as well as the development of additional indices and biomarkers derived from new and/or traditional sleep monitoring methods.
Methods And Analysis: We aim to include at least 2100 subjects (both adults and children) with a variety of sleep disorders who undergo a PSG as part of standard clinical care in a dedicated sleep centre. Full-video PSG will be performed according to the standards of the American Academy of Sleep Medicine. Each recording will be supplemented with one or more new monitoring systems, including wrist-worn photoplethysmography and actigraphy, pressure sensing mattresses, multimicrophone recording of respiratory sounds including snoring, suprasternal pressure monitoring and multielectrode electromyography of the diaphragm.
Ethics And Dissemination: The study was reviewed by the medical ethical committee of the Maxima Medical Center (Eindhoven, the Netherlands, File no: N16.074). All subjects provide informed consent before participation.The SOMNIA database is built to facilitate future research in sleep medicine. Data from the completed SOMNIA database will be made available for collaboration with researchers outside the institute.
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http://dx.doi.org/10.1136/bmjopen-2019-030996 | DOI Listing |
BMC Public Health
September 2025
Department of Social and Health Sciences in Sport, Bayreuth Center of Sport Science, University of Bayreuth, Bayreuth, Germany.
Background: Sedentary behavior (SB) and the absence of physical activity (PA) have become increasingly prevalent in modern societies due to changes in physical and social-environmental conditions, particularly in university students. This cross-sectional study aimed to describe and identify the prevalence and correlates of self-reported and accelerometer-determined SB and PA of German university students.
Methods: A convenience sample of 532 students participated in a questionnaire survey during the lecture period in the summer term 2018.
Zhonghua Jie He He Hu Xi Za Zhi
September 2025
Neuromuscular diseases are often accompanied by various types of sleep-related breathing disorders, which can exacerbate the underlying condition and are associated with a poor prognosis. Early identification is essential, and interventions such as non-invasive ventilation, oxygen therapy, and respiratory rehabilitation should be initiated promptly to mitigate disease progression and improve outcomes. Nevertheless, the rates of missed and misdiagnosed cases remain common in clinical practice.
View Article and Find Full Text PDFInt J Sports Physiol Perform
September 2025
Sport and Exercise Science, School of Allied Health, Human Services & Sport, La Trobe University, Melbourne, VIC, Australia.
Purpose: Research on mental fatigue and its impact on sport performance has gained significant attention in sport science. A reoccurring observation in these studies is the variation among participants in terms of mental-fatigue perception, as well as impact on performance. Thus, this study investigated personality traits as moderators of these interindividual differences.
View Article and Find Full Text PDFJ Neural Eng
September 2025
University of Pennsylvania, 3400 Spruce Street, Philadelphia, Pennsylvania, 19104-6243, UNITED STATES.
New implantable and wearable devices hold great promise to help patients manage their seizure disorders. One proposed application is measuring the rate of interictal epileptiform discharges as a biomarker of medication levels and seizure risk. This study aims to determine whether interictal epileptiform spike rates (spikes) are independently associated with anti-seizure medication (ASM) levels and evaluate whether spike rates are a reliable biomarker for ASM levels.
View Article and Find Full Text PDFIEEE Trans Cybern
September 2025
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinicians are time-intensive and subjective.
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