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 …
Montreal Archive of Sleep Studies: an open‐access resource for instrument benchmarking and exploratory research
Manual processing of sleep recordings is extremely time‐consuming. Efforts to automate this
process have shown promising results, but automatic systems are generally evaluated on …
process have shown promising results, but automatic systems are generally evaluated on …
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 …
number of sleep (isolation from exteroceptive stimuli, memory consolidation) and individual …
[HTML][HTML] Deep-spindle: An automated sleep spindle detection system for analysis of infant sleep spindles
Background: Sleep spindles are an indicator of the development and integrity of the central
nervous system in infants. Identifying sleep spindles manually in EEG is time-consuming …
nervous system in infants. Identifying sleep spindles manually in EEG is time-consuming …
Selection of features for patient-independent detection of seizure events using scalp EEG signals
Epilepsy involves brain abnormalities that may cause sudden seizures or other
uncontrollable body activities. Epilepsy may have substantial impacts on the patient's quality …
uncontrollable body activities. Epilepsy may have substantial impacts on the patient's quality …
Development and comparison of four sleep spindle detection methods
E Huupponen, G Gómez-Herrero… - Artificial intelligence in …, 2007 - Elsevier
OBJECTIVE: The objective of the present work was to develop and compare methods for
automatic detection of bilateral sleep spindles. METHODS AND MATERIALS: All-night sleep …
automatic detection of bilateral sleep spindles. METHODS AND MATERIALS: All-night sleep …
A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies
Sleep spindles are frequently studied for their relationship with state and trait cognitive
variables, and they are thought to play an important role in sleep-related memory …
variables, and they are thought to play an important role in sleep-related memory …
Efficient sleep spindle detection algorithm with decision tree
In this study, an efficient sleep spindle detection algorithm based on decision tree is
proposed. After analyzing the EEG waveform, the decision algorithm determines the exact …
proposed. After analyzing the EEG waveform, the decision algorithm determines the exact …
Automatic sleep spindle detection: benchmarking with fine temporal resolution using open science tools
C O'Reilly, T Nielsen - Frontiers in human neuroscience, 2015 - frontiersin.org
Sleep spindle properties index cognitive faculties such as memory consolidation and
diseases such as major depression. For this reason, scoring sleep spindle properties in …
diseases such as major depression. For this reason, scoring sleep spindle properties in …
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 …
manual scoring on a long-term recording requires high and sustained levels of vigilance …