Automatic sleep spindles detection—overview and development of a standard proposal assessment method

S Devuyst, T Dutoit, P Stenuit… - … conference of the IEEE …, 2011 - ieeexplore.ieee.org
Since the 1970s, various automatic sleep spindles procedures have been implemented and
presented in the literature. Unfortunately, their results are not easily comparable because …

Montreal Archive of Sleep Studies: an open‐access resource for instrument benchmarking and exploratory research

C O'reilly, N Gosselin, J Carrier… - Journal of sleep …, 2014 - Wiley Online Library
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 …

A systematic review of literature on automated sleep scoring

H Alsolai, S Qureshi, SMZ Iqbal, S Vanichayobon… - IEEE …, 2022 - ieeexplore.ieee.org
Sleep is a period of rest that is essential for functional learning ability, mental health, and
even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all …

Classification of sleep apnea based on EEG sub-band signal characteristics

X Zhao, X Wang, T Yang, S Ji, H Wang, J Wang… - Scientific Reports, 2021 - nature.com
Sleep apnea syndrome (SAS) is a disorder in which respiratory airflow frequently stops
during sleep. Alterations in electroencephalogram (EEG) signal are one of the physiological …

Automatic short-term solar flare prediction using machine learning and sunspot associations

R Qahwaji, T Colak - Solar Physics, 2007 - Springer
In this paper, a machine-learning-based system that could provide automated short-term
solar flare prediction is presented. This system accepts two sets of inputs: McIntosh …

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 …

A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies

PP Ujma, F Gombos, L Genzel, BN Konrad… - Frontiers in Human …, 2015 - frontiersin.org
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 …

Automatic detection of sleep apnea based on EEG detrended fluctuation analysis and support vector machine

J Zhou, X Wu, W Zeng - Journal of clinical monitoring and computing, 2015 - Springer
Sleep apnea syndrome (SAS) is prevalent in individuals and recently, there are many
studies focus on using simple and efficient methods for SAS detection instead of …

Automatic classification of schizophrenia patients using resting-state EEG signals

H Najafzadeh, M Esmaeili, S Farhang, Y Sarbaz… - … Engineering Sciences in …, 2021 - Springer
Schizophrenia is one of the serious mental disorders, which can suspend the patient from all
aspects of life. In this paper we introduced a new method based on the adaptive neuro fuzzy …

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 …