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 …

[HTML][HTML] Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal

SK Satapathy, AK Bhoi, D Loganathan… - … Signal Processing and …, 2021 - Elsevier
Sleep staging is an important part of diagnosing the different types of sleep-related disorders
because any discrepancies in the sleep scoring process may cause serious health problems …

[HTML][HTML] Biomarkers and neurobehavioral diagnosis

JB Ewen, WZ Potter, JA Sweeney - Biomarkers in neuropsychiatry, 2021 - Elsevier
Our current diagnostic methods for treatment planning in Psychiatry and
Neurodevelopmental Disabilities leave room for improvement, and null results in clinical …

Prognosis of automated sleep staging based on two-layer ensemble learning stacking model using single-channel EEG signal

SK Satapathy, D Loganathan - Soft Computing, 2021 - Springer
Sleep is important part for human health and quality of life in the daily routine basis.
However, numerous individuals face sleep problems due to rapid changes occurred in both …

Automated sleep scoring system using multi-channel data and machine learning

RS Arslan, H Ulutaş, AS Köksal, M Bakır… - Computers in Biology and …, 2022 - Elsevier
Sleep staging is one of the most important parts of sleep assessment and it has an important
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …

Sle-CNN: a novel convolutional neural network for sleep stage classification

Z Zhang, Y Xue, A Slowik, Z Yuan - Neural Computing and Applications, 2023 - Springer
Many classical methods have been used in automatic sleep stage classification but few
methods explore deep learning. Meanwhile, most deep learning methods require extensive …

Multimodal multiclass machine learning model for automated sleep staging based on time series data

SK Satapathy, D Loganathan - SN Computer Science, 2022 - Springer
Quality sleep is one of the integral parts of the human body, which gives proper rest to the
body. It directly promotes and supports maintaining good health, both physically and …

Automated classification of sleep stages using single-channel EEG: A machine learning-based method

SK Satapathy, D Loganathan - International Journal of Information …, 2022 - igi-global.com
The main contribution of this paper is to present a novel approach for classifying the sleep
stages based on optimal feature selection with ensemble learning stacking model using …

Automated sleep staging classification system based on convolutional neural network using polysomnography signals

SK Satapathy, S Pattnaik, R Rath - 2022 IEEE Delhi section …, 2022 - ieeexplore.ieee.org
Manual inspection of sleep staging is one of the critical challenges for the last few years
because it is a time-consuming process, laborious task, and also gives a heavy burden to …

Automated sleep staging analysis using sleep EEG signal: A machine learning based model

SK Satapathy, D Loganathan… - 2021 International …, 2021 - ieeexplore.ieee.org
Sleep is essential for people health and well-being. However, numerous individuals face
sleep problems. These problems can lead to several neurological and physical disorder …