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 …

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 …

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 …

Water pipe failure prediction using AutoML

C Zhang, Z Ye - Facilities, 2021 - emerald.com
Purpose Owing to the consumption of considerable resources in developing physical pipe
prediction models and the fact that the statistical models cannot fit the failure records …

Iterative expert-in-the-loop classification of sleep PSG recordings using a hierarchical clustering

V Gerla, V Kremen, M Macas, D Dudysova… - Journal of neuroscience …, 2019 - Elsevier
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 …

Method and system for automated detection of sleep spindles using a single EEG channels based TEO and EMD

Y Li, K Song, Y Zhang, F Karray - Expert Systems with Applications, 2024 - Elsevier
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 …

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 …

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 …

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 …

[HTML][HTML] A high-density scalp EEG dataset acquired during brief naps after a visual working memory task

N Mei, MD Grossberg, K Ng, KT Navarro, TM Ellmore - Data in brief, 2018 - Elsevier
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 …