Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …
Time series prediction using artificial wavelet neural network and multi-resolution analysis: Application to wind speed data
B Doucoure, K Agbossou, A Cardenas - Renewable Energy, 2016 - Elsevier
The aim of this work is to develop a prediction method for renewable energy sources in
order to achieve an intelligent management of a microgrid system and to promote the …
order to achieve an intelligent management of a microgrid system and to promote the …
ISRUC-Sleep: A comprehensive public dataset for sleep researchers
To facilitate the performance comparison of new methods for sleep patterns analysis,
datasets with quality content, publicly-available, are very important and useful. We introduce …
datasets with quality content, publicly-available, are very important and useful. We introduce …
Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement
D Jiang, Y Lu, MA Yu, W Yuanyuan - Expert Systems with Applications, 2019 - Elsevier
Sleep stage classification is a most important process in sleep scoring which is used to
evaluate sleep quality and diagnose sleep-related diseases. Compared to complex sleep …
evaluate sleep quality and diagnose sleep-related diseases. Compared to complex sleep …
A 2D CNN-LSTM hybrid algorithm using time series segments of EEG data for motor imagery classification
J Wang, S Cheng, J Tian, Y Gao - Biomedical Signal Processing and …, 2023 - Elsevier
Motor imagery-based brain–computer interaction (MI-BCI) converts human neural activity
into computational information, often used as commands, by recognizing …
into computational information, often used as commands, by recognizing …
On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
Accurate pan evaporation (E pan) prediction is a critical issue in water resources
management, particularly when designing and managing rural water resource systems, and …
management, particularly when designing and managing rural water resource systems, and …
Electro-encephalography and electro-oculography in aeronautics: A review over the last decade (2010–2020)
C Belkhiria, V Peysakhovich - Frontiers in Neuroergonomics, 2020 - frontiersin.org
Electro-encephalography (EEG) and electro-oculography (EOG) are methods of
electrophysiological monitoring that have potentially fruitful applications in neuroscience …
electrophysiological monitoring that have potentially fruitful applications in neuroscience …
Automatic sleep staging: A computer assisted approach for optimal combination of features and polysomnographic channels
To improve applicability of automatic sleep staging an efficient subject-independent method
is proposed with application in sleep–wake detection and in multiclass sleep staging …
is proposed with application in sleep–wake detection and in multiclass sleep staging …
Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting
To ameliorate agricultural impacts due to persistent drought-risks by promoting sustainable
utilization and pre-planning of water resources, accurate rainfall forecasting models …
utilization and pre-planning of water resources, accurate rainfall forecasting models …
Automated classification of multi-class sleep stages classification using polysomnography signals: a nine-layer 1D-convolution neural network approach
SK Satapathy, D Loganathan - Multimedia Tools and Applications, 2023 - Springer
Sleep disorder diseases have one of the major health issues across the world. To handle
this issue the primary step taken by most of the sleep experts is the sleep staging …
this issue the primary step taken by most of the sleep experts is the sleep staging …