Auditory deep sleep stimulation in older adults at home: a randomized crossover trial

C Lustenberger, ML Ferster, S Huwiler… - Communications …, 2022 - nature.com
Background Auditory stimulation has emerged as a promising tool to enhance non-
invasively sleep slow waves, deep sleep brain oscillations that are tightly linked to sleep …

Computer-assisted analysis of polysomnographic recordings improves inter-scorer associated agreement and scoring times

D Alvarez-Estevez, RM Rijsman - Plos one, 2022 - journals.plos.org
Study objectives To investigate inter-scorer agreement and scoring time differences
associated with visual and computer-assisted analysis of polysomnographic (PSG) …

Effects of auditory sleep modulation approaches on brain oscillatory and cardiovascular dynamics

S Huwiler, M Carro Dominguez, S Huwyler, L Kiener… - Sleep, 2022 - academic.oup.com
Slow waves, the hallmark feature of deep nonrapid eye movement sleep, do potentially drive
restorative effects of sleep on brain and body functions. Sleep modulation techniques to …

An efficient automatic arousals detection algorithm in single channel EEG

TK Ugur, A Erdamar - Computer methods and programs in biomedicine, 2019 - Elsevier
Background and objective Electroencephalographic arousal is a transient waveform that
instantaneously happens in sleep as an inherent component. It has distinctive amplitude …

Automatic detection of cortical arousals in sleep and their contribution to daytime sleepiness

A Brink-Kjaer, AN Olesen, PE Peppard, KL Stone… - Clinical …, 2020 - Elsevier
Objective Significant interscorer variability is found in manual scoring of arousals in
polysomnographic recordings (PSGs). We propose a fully automatic method, the Multimodal …

Sleep-related leg movements in obstructive sleep apnea: definitions, determinants, and clinical consequences

MH Schipper, D Alvarez-Estevez, K Jellema… - Sleep medicine, 2020 - Elsevier
Study objectives To investigate (1) the effect of different scoring rules on leg movement (LM)
classification in patients with obstructive sleep apnea (OSA);(2) determinants of respiratory …

Deep convolutional architecture‐based hybrid learning for sleep arousal events detection through single‐lead EEG signals

A Foroughi, F Farokhi, FN Rahatabad… - Brain and …, 2023 - Wiley Online Library
Introduction Detecting arousal events during sleep is a challenging, time‐consuming, and
costly process that requires neurology knowledge. Even though similar automated systems …

Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases

D Alvarez-Estevez, I Fernández-Varela - Sleep Medicine, 2019 - Elsevier
Objective To assess the validity of an automatic EEG arousal detection algorithm using large
patient samples and different heterogeneous databases. Methods Automatic scorings were …

A novel approach for sleep arousal disorder detection based on the interaction of physiological signals and metaheuristic learning

A Badiei, S Meshgini, K Rezaee - Computational Intelligence …, 2023 - Wiley Online Library
The vast majority of sleep disturbances are caused by various types of sleep arousal. To
diagnose sleep disorders and prevent health problems such as cardiovascular disease and …

Quantitative sleep EEG synchronization analysis for automatic arousals detection

A Erdamar, MF Aksahin - Biomedical Signal Processing and Control, 2020 - Elsevier
Background and objective Electroencephalographic arousals are considered to be the main
reason for the interruption of sleep and are visually examined by sleep physicians. Visual …