According to the data of direct electroencephalography (EEG) human fetus can develop circadian rhythm of sleep-wake cycle before birth. Healthy fetus during birth is awake and takes an active part in the delivery. The fetus sleep during birth is developed only in hypoxic states. EEG irregularities of sleep are noticed yet in fetal stage. Children aged 0-1 year develop five phases of sleep: drowsiness, active sleep, sleep of middle depth, deep sleep, paradoxical REM sleep. Maturity of superficial sleep terminates by the 10th-12th month of life. The sleep of average depth and deep sleep terminate maturity by the 2nd month of life. Duration of paradoxical sleep increases considerably by the age 12th month and is divided into 2 stages. By the age of 12 months paradoxical sleep remains immature. In children of the same age with CNS disorder the structural composition of sleep changes: active sleep is prolonged, sleep of middle depth is not changed, deep sleep does not develop, paradoxical-REM sleep is atypical.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Interim Analysis of a Prospective Polysomnographic Study of Weighted Blankets in Patients with Psychophysiological Insomnia.
Psychiatry Clin Psychopharmacol
December 2024
Sleep and Disorders Unit, Division of Clinical Neurophysiology, Department of Neurology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, İstanbul, Türkiye.
Background: Weighted blankets have recently introduced in the treatment on insomnia as a nonpharmacological integrative therapy. Here we prospectively evaluated the effects of weighted blankets on the sleep structure and heart rate variability (HRV) in patients with primary psychophysiological insomnia.
Methods: In this prospective polysomnographic (PSG) study between August 2021 and August 2022, patients were given weighted blankets (~10% of body weight) to use at home for 10 nights consecutively.
Effects of Baseline Blood Zinc Levels on the Humoral Immune Response After COVID-19 mRNA Vaccination: A Prospective Study in a Japanese Population.
Vaccines (Basel)
November 2024
Department of Social and Environmental Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga 849-8501, Japan.
Background/objectives: Although the protective effects of zinc against COVID-19 are documented, its impact on COVID-19 vaccine immunogenicity remains unknown.
Methods: We conducted a prospective study involving a cohort of 79 Japanese individuals (aged 21-56 years; comprising three subcohorts) and measured their serum zinc levels pre-vaccination and anti-SARS-CoV-2 IgM/IgG levels pre- and post-vaccination over 4 months.
Results: Serum zinc concentrations ranged between 74-140 and 64-113 μg/dL in male and female individuals, respectively, with one male and 11 female participants exhibiting subclinical zinc deficiency (60-80 μg/dL).
Thermal Cameras for Continuous and Contactless Respiration Monitoring.
Sensors (Basel)
December 2024
Centre for Sleep Medicine Kempenhaeghe, 5590 AB Heeze, The Netherlands.
Continuous respiration monitoring is an important tool in assessing the patient's health and diagnosing pulmonary, cardiovascular, and sleep-related breathing disorders. Various techniques and devices, both contact and contactless, can be used to monitor respiration. Each of these techniques can provide different types of information with varying accuracy.
View Article and Find Full Text PDFOptically Controlled Drug Delivery Through Microscale Brain-Machine Interfaces Using Integrated Upconverting Nanoparticles.
Sensors (Basel)
December 2024
Research Group for Implantable Microsystems, Faculty of Information Technology & Bionics, Pázmány Péter Catholic University, H-1083 Budapest, Hungary.
The aim of this work is to incorporate lanthanide-cored upconversion nanoparticles (UCNP) into the surface of microengineered biomedical implants to create a spatially controlled and optically releasable model drug delivery device in an integrated fashion. Our approach enables silicone-based microelectrocorticography (ECoG) implants holding platinum/iridium recording sites to serve as a stable host of UCNPs. Nanoparticles excitable in the near-infrared (lower energy) regime and emitting visible (higher energy) light are utilized in a study.
View Article and Find Full Text PDFDomain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology.
Sensors (Basel)
December 2024
ActiGraph LLC, Pensacola, FL 32502, USA.
Wearable accelerometers are widely used as an ecologically valid and scalable solution for long-term at-home sleep monitoring in both clinical research and care. In this study, we applied a deep learning domain adversarial convolutional neural network (DACNN) model to this task and demonstrated that this new model outperformed existing sleep algorithms in classifying sleep-wake and estimating sleep outcomes based on wrist-worn accelerometry. This model generalized well to another dataset based on different wearable devices and activity counts, achieving an accuracy of 80.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!