Automated detection of sleep stages using deep learning techniques: A systematic review of the last decade (2010–2020)
Sleep is vital for one's general well-being, but it is often neglected, which has led to an
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
A systematic review on deep learning models for sleep stage classification
TR Sri, J Madala, SL Duddukuru… - … on Trends in …, 2022 - ieeexplore.ieee.org
Sleep is a key aspect of the body's recuperation, memory integration and consolidation
processes, as well as a vital part of overall health. Early discovery of sleep related disorders …
processes, as well as a vital part of overall health. Early discovery of sleep related disorders …
A modified ant Lion optimization method and its application for instance reduction problem in balanced and imbalanced data
Instance reduction is a pre-processing step devised to improve the task of classification.
Instance reduction algorithms search for a reduced set of instances to mitigate the low …
Instance reduction algorithms search for a reduced set of instances to mitigate the low …
Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure …
In this paper, the multi-state synchronization of chaotic systems with non-identical, unknown,
and time-varying delay in the presence of external perturbations and parametric …
and time-varying delay in the presence of external perturbations and parametric …
Classification with a deferral option and low-trust filtering for automated seizure detection
Wearable technology will become available and allow prolonged electroencephalography
(EEG) monitoring in the home environment of patients with epilepsy. Neurologists analyse …
(EEG) monitoring in the home environment of patients with epilepsy. Neurologists analyse …
Differentiating Epileptic and Psychogenic Non-Epileptic Seizures Using Machine Learning Analysis of EEG Plot Images
The treatment of epilepsy, the second most common chronic neurological disorder, is often
complicated by the failure of patients to respond to medication. Treatment failure with anti …
complicated by the failure of patients to respond to medication. Treatment failure with anti …
[PDF][PDF] A Systematic Review on Deep Learning Models for Sleep Stage Classification
VR Siddhartha - researchgate.net
Sleep is a key aspect of the body's recuperation, memory integration and consolidation
processes, as well as a vital part of overall health. Early discovery of sleep related disorders …
processes, as well as a vital part of overall health. Early discovery of sleep related disorders …