A deep learning approach to automated sleep stages classification using Multi-Modal Signals

SK Satapathy, HK Kondaveeti, SR Sreeja… - Procedia Computer …, 2023 - Elsevier
Sleep is one of the elements most vital to human life. However, the modern lifestyle
continues to push people to neglect this critical requirement. With a vast majority of people …

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 Approach for Estimation and Novel Design of Stroke Disease Predictions using Numerical and Categorical Features

SK Satapathy, A Patel, P Yadav… - … for Advancement in …, 2023 - ieeexplore.ieee.org
Today, adequately trained machine learning algorithms can be significantly used in fields
such as surveillance, medicine, and data management to identify and provide solutions to …

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 …

An Effective Framework for Predicting Stroke Prediction using Machine Learning Technique

SK Satapathy, HK Kondaveeti… - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
Today, adequately trained machine learning algorithms can be significantly used in fields
such as surveillance, medicine, and data management to identify and provide solutions to …

A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques

SK Satapathy, HK Kondaveeti, D Swain - International Conference on …, 2022 - Springer
Sleep staging plays a vital role in sleep research because sometimes sleep recording errors
may cause severe problems like misinterpretations of the changes in characteristics of the …