A low computational cost algorithm for REM sleep detection using single channel EEG

SA Imtiaz, E Rodriguez-Villegas - Annals of biomedical engineering, 2014 - Springer
The push towards low-power and wearable sleep systems requires using minimum number
of recording channels to enhance battery life, keep processing load small and be more …

An attention-based deep learning approach for sleep stage classification with single-channel EEG

E Eldele, Z Chen, C Liu, M Wu… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
Automatic sleep stage mymargin classification is of great importance to measure sleep
quality. In this paper, we propose a novel attention-based deep learning architecture called …

Sleep stage identification based on eeg signals using parallel convolutional neural network and recurrent neural network

IA Begawan, EC Djamal, D Djajasasmita… - 2022 International …, 2022 - ieeexplore.ieee.org
Sleep quality is essential to health, informed by the sleep stage. In other words, identifying
the sleep stage can detect the possibility of sleep disorders. The standard carried out in …

Fast and accurate PLS-based classification of EEG sleep using single channel data

T Kayikcioglu, M Maleki, K Eroglu - Expert Systems with Applications, 2015 - Elsevier
Since speed of classification is important to real-time applications, this study proposed fast
classification of sleep and wake stages using a single electroencephalograph (EEG) …

A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal

SK Satapathy, K Shah, S Shah, B Shah… - Soft Computing for …, 2023 - Springer
Sleep plays a vital role in human physiological behaviors. Sleep staging is a critical criterion
for assessing sleep patterns. Therefore, it is essential to develop an automatic sleep staging …

Automated Sleep Staging on Wearable EEG Enables Sleep Analysis at Scale

M Abou Jaoude, A Ravi, J Niu… - 2023 11th …, 2023 - ieeexplore.ieee.org
This study presents automated sleep staging on a large number of sleep
electroencephalography (EEG) recordings collected using the Muse S headband. Two …

Identification of insomnia based on discrete wavelet transform using time domain and nonlinear features

P Mamta, S Prasad - Computational Vision and Bio-Inspired Computing …, 2021 - Springer
Insomnia is a type of sleep disorder that affects both the psychological and mental state.
Conventionally, clinicians diagnose insomnia with a clinical interview that is subjective and …

Automatic detection of sleep stages using Deep Learning Algorithm

P Manjunatha, VC Rangappa, A Varati… - … on Circuits, Control …, 2022 - ieeexplore.ieee.org
Sleep plays a vital role in an individual's life, it enables proper cognitive and behavioral
functions. An insufficient amount of sleep can lead to serious repercussions. Sleep disorders …

[PDF][PDF] Automatic sleep stage classification using 1D convolutional neural network

A Salamatian, A Khadem - Frontiers in Biomedical …, 2020 - publish.kne-publishing.com
Purpose: Sleep is one of the necessities of the body, such as eating, drinking, etc., that
affects different aspects of human life. Sleep monitoring and sleep stage classification play …

A deep learning method approach for sleep stage classification with EEG spectrogram

C Li, Y Qi, X Ding, J Zhao, T Sang, M Lee - International Journal of …, 2022 - mdpi.com
The classification of sleep stages is an important process. However, this process is time-
consuming, subjective, and error-prone. Many automated classification methods use …