Artificial intelligence in psychiatry research, diagnosis, and therapy

J Sun, QX Dong, SW Wang, YB Zheng, XX Liu… - Asian journal of …, 2023‏ - Elsevier
Psychiatric disorders are now responsible for the largest proportion of the global burden of
disease, and even more challenges have been seen during the COVID-19 pandemic …

A review of automated sleep stage scoring based on physiological signals for the new millennia

O Faust, H Razaghi, R Barika, EJ Ciaccio… - Computer methods and …, 2019‏ - Elsevier
Abstract Background and Objective Sleep is an important part of our life. That importance is
highlighted by the multitude of health problems which result from sleep disorders. Detecting …

Interrater reliability of sleep stage scoring: a meta-analysis

YJ Lee, JY Lee, JH Cho, JH Choi - Journal of Clinical Sleep …, 2022‏ - jcsm.aasm.org
Study Objectives: We evaluated the interrater reliabilities of manual polysomnography sleep
stage scoring. We included all studies that employed Rechtschaffen and Kales rules or …

The visual scoring of sleep in adults

MH Silber, S Ancoli-Israel, MH Bonnet… - Journal of clinical …, 2007‏ - jcsm.aasm.org
1.0 BACKGROUND In the more than a third of a century since the Rechtschaffen and Kales
manual on sleep stage scoring was published, much has changed in sleep science and …

GRU-powered sleep stage classification with permutation-based EEG channel selection

LA Moctezuma, Y Suzuki, J Furuki, M Molinas… - Scientific Reports, 2024‏ - nature.com
We present a new approach to classifying the sleep stage that incorporates a
computationally inexpensive method based on permutations for channel selection and takes …

Sleep classification according to AASM and Rechtschaffen & Kales: effects on sleep scoring parameters

D Moser, P Anderer, G Gruber, S Parapatics, E Loretz… - Sleep, 2009‏ - academic.oup.com
Abstract Study Objective: To investigate differences between visual sleep scoring according
to the classification developed by Rechtschaffen and Kales (R&K, 1968) and scoring based …

Interrater reliability for sleep scoring according to the Rechtschaffen & Kales and the new AASM standard

H Danker‐Hopfe, P Anderer, J Zeitlhofer… - Journal of sleep …, 2009‏ - Wiley Online Library
Interrater variability of sleep stage scorings has an essential impact not only on the reading
of polysomnographic sleep studies (PSGs) for clinical trials but also on the evaluation of …

Automatic human sleep stage scoring using deep neural networks

A Malafeev, D Laptev, S Bauer, X Omlin… - Frontiers in …, 2018‏ - frontiersin.org
The classification of sleep stages is the first and an important step in the quantitative
analysis of polysomnographic recordings. Sleep stage scoring relies heavily on visual …

Characterization of four-class motor imagery EEG data for the BCI-competition 2005

A Schlögl, F Lee, H Bischof… - Journal of neural …, 2005‏ - iopscience.iop.org
To determine and compare the performance of different classifiers applied to four-class EEG
data is the goal of this communication. The EEG data were recorded with 60 electrodes from …

An end-to-end framework for real-time automatic sleep stage classification

A Patanaik, JL Ong, JJ Gooley, S Ancoli-Israel… - Sleep, 2018‏ - academic.oup.com
Sleep staging is a fundamental but time consuming process in any sleep laboratory. To
greatly speed up sleep staging without compromising accuracy, we developed a novel …