Temporal feature extraction and machine learning for classification of sleep stages using telemetry polysomnography

U Lal, S Mathavu Vasanthsena, A Hoblidar - Brain Sciences, 2023 - mdpi.com
Accurate sleep stage detection is crucial for diagnosing sleep disorders and tailoring
treatment plans. Polysomnography (PSG) is considered the gold standard for sleep …

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 …

A Machine Learning-Based Models For Intelligent Automated Sleep Staging Classification System Using Polysomnography Data

SK Satapathy, S Thakkar, A Patel… - 2023 IEEE 11th Region …, 2023 - ieeexplore.ieee.org
It is essential in clinical practice to consider an automated tool for identifying the sleep
stages” irregularities and for accurate analysis of sleep quality. Sleep staging is essential for …

Automated Sleep Staging Classification System using EEG Signals based on Machine Learning Techniques

SK Satapathy, S Thakkar, A Patel… - 2023 IEEE 20th India …, 2023 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) aim to analyze brain activity into control signals for external
devices. Sleep staging classification (SSC), the sleep behavior, has been studied …

EEG-Based Sleep Stage Classification System

M Wyawahare, R Bhole, V Bobade, A Chavan… - … on Paradigms of …, 2023 - Springer
One of the most important concerns in everyday life is sleep difficulties. Many physiological
diseases are caused due to less sleep or more stress. The phases of sleep that the brain …