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 …
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
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 …
A systematic review of literature on automated sleep scoring
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 …
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
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 …
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 …
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 …
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 …
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 …
studies focus on using simple and efficient methods for SAS detection instead of …
Automatic classification of schizophrenia patients using resting-state EEG signals
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 …
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 …
diseases such as major depression. For this reason, scoring sleep spindle properties in …