Sleep spindles: mechanisms and functions
LMJ Fernandez, A Lüthi - Physiological reviews, 2020 - journals.physiology.org
Sleep spindles are burstlike signals in the electroencephalogram (EEG) of the sleeping
mammalian brain and electrical surface correlates of neuronal oscillations in thalamus. As …
mammalian brain and electrical surface correlates of neuronal oscillations in thalamus. As …
Automatic detection of abnormal EEG signals using multiscale features with ensemble learning
T Wu, X Kong, Y Zhong, L Chen - Frontiers in Human Neuroscience, 2022 - frontiersin.org
Electroencephalogram (EEG) is an economical and convenient auxiliary test to aid in the
diagnosis and analysis of brain-related neurological diseases. In recent years, machine …
diagnosis and analysis of brain-related neurological diseases. In recent years, machine …
The technological emergence of automl: A survey of performant software and applications in the context of industry
A Scriven, DJ Kedziora, K Musial… - … and Trends® in …, 2023 - nowpublishers.com
With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …
practical industrial uptake. Whilst some sciences have robust and well-established …
Iterative expert-in-the-loop classification of sleep PSG recordings using a hierarchical clustering
Background The classification of sleep signals is a subjective and time consuming task. A
large number of automatic classifiers have been published in the past decade but a sleep …
large number of automatic classifiers have been published in the past decade but a sleep …
Method and system for automated detection of sleep spindles using a single EEG channels based TEO and EMD
As a hallmark of N2 sleep stage, sleep spindle detection based on electroencephalogram
(EEG) recordings plays a crucial role in analyzing sleep. Hence, how to effectively …
(EEG) recordings plays a crucial role in analyzing sleep. Hence, how to effectively …
A personalized semi-automatic sleep spindle detection (PSASD) framework
MM Kafashan, G Gupte, P Kang, O Hyche… - Journal of Neuroscience …, 2024 - Elsevier
Background Sleep spindles are distinct electroencephalogram (EEG) patterns of brain
activity that have been posited to play a critical role in development, learning, and …
activity that have been posited to play a critical role in development, learning, and …
Artifact cleaning of motor imagery EEG by statistical features extraction using wavelet families
P Nagabushanam, ST George… - … Journal of Circuit …, 2020 - Wiley Online Library
Electroencephalogram (EEG) and its sub‐bands represent electrical pattern of human brain.
EEG signal contains transient components, spikes, and different types of artifacts due to eye …
EEG signal contains transient components, spikes, and different types of artifacts due to eye …
SPINDILOMETER: a model describing sleep spindles on EEG signals for polysomnography
M Kayabekir, M Yağanoğlu - Physical and Engineering Sciences in …, 2024 - Springer
This paper aims to present a model called SPINDILOMETER, which we propose to be
integrated into polysomnography (PSG) devices for researchers focused on …
integrated into polysomnography (PSG) devices for researchers focused on …
[HTML][HTML] A high-density scalp EEG dataset acquired during brief naps after a visual working memory task
There is growing interest in understanding how specific neural events that occur during
sleep, including characteristic spindle oscillations between 10 and 16 Hz (Hz), are related to …
sleep, including characteristic spindle oscillations between 10 and 16 Hz (Hz), are related to …