An automated system for sleep staging using EEG brain signals based on a machine learning approach

SK Satapathy, HK Kondaveeti… - 2022 IEEE 19th India …, 2022 - ieeexplore.ieee.org
Correctly classifying the sleep stages is essential for analyzing sleep quality and diagnosing
sleep disorders. This research article aims to explore the classification performance of state …

An effective EEG signal-based sleep staging system using machine learning techniques

SK Satapathy, S Thakkar, A Patel… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
Single-channel electroencephalography (EEG) is the most popular choice of sensing
modality in sleep staging studies because it widely conforms to sleep staging guidelines …

Machine-Learning-Based-Approaches for Sleep Stage Classification Utilising a Combination of Physiological Signals: A Systematic Review

H Almutairi, GM Hassan, A Datta - Applied Sciences, 2023 - mdpi.com
Increasingly prevalent sleep disorders worldwide significantly affect the well-being of
individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence …

A study of human sleep stage classification based on dual channels of EEG signal using machine learning techniques

SK Satapathy, D Loganathan - SN Computer Science, 2021 - Springer
Sleep staging is one of the important methods for the diagnosis of the different types of sleep-
related diseases. Manual inspection of sleep scoring is a very time-consuming process …

Review of Machine Learning Techniques in Sleep Staging using Physiological Signals

SK Sahu, SK Satapathy… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
The background and goal of this research are to address the importance of sleep in our
lifestyle and health. To analyze sleep problems, legitimate scoring of sleep stages is …

Development of Efficient Ensemble Model based on Stacking Learning for Automated Sleep Staging

SK Satapathy, HK Kondaveeti… - … on Innovation and …, 2022 - ieeexplore.ieee.org
Sleep plays a vital role in maintaining good physical and mental health. Improper sleep
causes many critical diseases; sleep-related disorders are significant global challenges. The …

A review of automated sleep stage based on EEG signals

X Zhang, X Zhang, Q Huang, Y Lv, F Chen - Biocybernetics and Biomedical …, 2024 - Elsevier
Sleep disorders have increasingly impacted healthy lifestyles. Accurate scoring of sleep
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …

Modality-Specific Feature Selection, Data Augmentation and Temporal Context for Improved Performance in Sleep Staging

R Jain, AG Ramakrishnan - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
This work attempts to design an effective sleep staging system, making the best use of the
available signals, strategies, and features in the literature. It must not only perform well on …

AutoSleepNet: a multi-signal framework for automated sleep stage classification

SK Satapathy, H Madhani, S Garg… - 2022 IEEE World …, 2022 - ieeexplore.ieee.org
Sleep is one of the most vital yet often underrated components of human health. Sleep
studies are crucial for unearthing various abnormalities associated with sleep, widely …

A decision support system for automated identification of sleep stages from single-channel EEG signals

AR Hassan, A Subasi - Knowledge-Based Systems, 2017 - Elsevier
A decision support system for automated detection of sleep stages can alleviate the burden
of medical professionals of manually annotating a large bulk of data, expedite sleep disorder …