A systematic review of sensing technologies for wearable sleep staging
SA Imtiaz - Sensors, 2021 - mdpi.com
Designing wearable systems for sleep detection and staging is extremely challenging due to
the numerous constraints associated with sensing, usability, accuracy, and regulatory …
the numerous constraints associated with sensing, usability, accuracy, and regulatory …
A review on current trends in automatic sleep staging through bio-signal recordings and future challenges
Sleep staging is a vital process conducted in order to analyze polysomnographic data. To
facilitate prompt interpretation of these recordings, many automatic sleep staging methods …
facilitate prompt interpretation of these recordings, many automatic sleep staging methods …
EEG sleep stages classification based on time domain features and structural graph similarity
The electroencephalogram (EEG) signals are commonly used in diagnosing and treating
sleep disorders. Many existing methods for sleep stages classification mainly depend on the …
sleep disorders. Many existing methods for sleep stages classification mainly depend on the …
Use of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework
Sleep is a physiological activity and human body restores itself from various diseases during
sleep. It is necessary to get sufficient amount of sleep to have sound physiological and …
sleep. It is necessary to get sufficient amount of sleep to have sound physiological and …
[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 …
because any discrepancies in the sleep scoring process may cause serious health problems …
Deep learning in automatic sleep staging with a single channel electroencephalography
M Fu, Y Wang, Z Chen, J Li, F Xu, X Liu… - Frontiers in Physiology, 2021 - frontiersin.org
This study centers on automatic sleep staging with a single channel
electroencephalography (EEG), with some significant findings for sleep staging. In this study …
electroencephalography (EEG), with some significant findings for sleep staging. In this study …
Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms
Sleep scoring is one of the primary tasks for the classification of sleep stages in
Electroencephalogram (EEG) signals. Manual visual scoring of sleep stages is time …
Electroencephalogram (EEG) signals. Manual visual scoring of sleep stages is time …
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm
Background Sleep plays an essential role in repairing and healing human mental and
physical health. Develo** an efficient method for scoring electroencephalogram (EEG) …
physical health. Develo** an efficient method for scoring electroencephalogram (EEG) …
Performance analysis of machine learning algorithms on automated sleep staging feature sets
S Satapathy, D Loganathan… - CAAI Transactions …, 2021 - Wiley Online Library
With the speeding up of social activities, rapid changes in lifestyles, and an increase in the
pressure in professional fields, people are suffering from several types of sleep‐related …
pressure in professional fields, people are suffering from several types of sleep‐related …
Computational sleep behavior analysis: A survey
Sleep is a key marker of health, as it can either be a cause or a consequence. It is
traditionally studied in clinical environments using dedicated medical devices. Recent …
traditionally studied in clinical environments using dedicated medical devices. Recent …