Signal processing techniques applied to human sleep EEG signals—A review

S Motamedi-Fakhr, M Moshrefi-Torbati, M Hill… - … Signal Processing and …, 2014 - Elsevier
A bewildering variety of methods for analysing sleep EEG signals can be found in the
literature. This article provides an overview of these methods and offers guidelines for …

Sleep spindles as an electrographic element: description and automatic detection methods

D Coppieters't Wallant, P Maquet, C Phillips - Neural Plasticity, 2016 - Wiley Online Library
Sleep spindle is a peculiar oscillatory brain pattern which has been associated with a
number of sleep (isolation from exteroceptive stimuli, memory consolidation) and individual …

Electroencephalogram spindle activity during dexmedetomidine sedation and physiological sleep

E Huupponen, A Maksimow… - Acta …, 2008 - Wiley Online Library
Background: Dexmedetomidine, a selective α2‐adrenoceptor agonist, induces a unique,
sleep‐like state of sedation. The objective of the present work was to study human …

The individual adjustment method of sleep spindle analysis: methodological improvements and roots in the fingerprint paradigm

R Bódizs, J Körmendi, P Rigó, AS Lázár - Journal of neuroscience methods, 2009 - Elsevier
Evidence supports the robustness and stability of individual differences in non-rapid eye
movement (NREM) sleep electroencephalogram (EEG) spectra with a special emphasis on …

Automatic sleep spindle detection and genetic influence estimation using continuous wavelet transform

M Adamczyk, L Genzel, M Dresler, A Steiger… - Frontiers in human …, 2015 - frontiersin.org
Mounting evidence for the role of sleep spindles in neuroplasticity has led to an increased
interest in these non-rapid eye movement (NREM) sleep oscillations. It has been …

Expert and crowd-sourced validation of an individualized sleep spindle detection method employing complex demodulation and individualized normalization

LB Ray, S Sockeel, M Soon, A Bore, A Myhr… - Frontiers in human …, 2015 - frontiersin.org
A spindle detection method was developed that:(1) extracts the signal of interest (ie, spindle-
related phasic changes in sigma) relative to ongoing “background” sigma activity using …

Sleep spindle detection through amplitude–frequency normal modelling

A Nonclercq, C Urbain, D Verheulpen… - Journal of neuroscience …, 2013 - Elsevier
Manual scoring of sleep spindles can be very time-consuming, and achieving accurate
manual scoring on a long-term recording requires high and sustained levels of vigilance …

Spindle-AI: sleep spindle number and duration estimation in infant EEG

L Wei, S Ventura, S Mathieson… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: Sleep spindle features show developmental changes during infancy and have the
potential to provide an early biomarker for abnormal brain maturation. Manual identification …

Spindler: a framework for parametric analysis and detection of spindles in EEG with application to sleep spindles

J LaRocco, PJ Franaszczuk, S Kerick… - Journal of neural …, 2018 - iopscience.iop.org
Objective. EEG spindles, narrow-band oscillatory signal bursts, are widely-studied
biomarkers of subject state and neurological function. Most existing methods for spindle …

Investigation of surface EMG and acceleration signals of limbs' tremor in Parkinson's disease patients using the method of electrical activity analysis based on wave …

OS Sushkova, AA Morozov, AV Gabova… - Advances in Artificial …, 2018 - Springer
In recent years, spindle-shaped electrical activity became interesting for researchers looking
for new methods of time-frequency analysis of electromyograms (EMG) and acceleration …