Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with EEG signals

M Sharma, J Tiwari, UR Acharya - International journal of environmental …, 2021 - mdpi.com
Sleep stage classification plays a pivotal role in effective diagnosis and treatment of sleep
related disorders. Traditionally, sleep scoring is done manually by trained sleep scorers. The …

[HTML][HTML] Classification of brainwaves for sleep stages by high-dimensional FFT features from EEG signals

MK Delimayanti, B Purnama, NG Nguyen, MR Faisal… - Applied Sciences, 2020 - mdpi.com
Manual classification of sleep stage is a time-consuming but necessary step in the diagnosis
and treatment of sleep disorders, and its automation has been an area of active study. The …

Automatic sleep stage classification using deep learning: signals, data representation, and neural networks

P Liu, W Qian, H Zhang, Y Zhu, Q Hong, Q Li… - Artificial Intelligence …, 2024 - Springer
In clinical practice, sleep stage classification (SSC) is a crucial step for physicians in sleep
assessment and sleep disorder diagnosis. However, traditional sleep stage classification …

A temporal-spectral fused and attention-based deep model for automatic sleep staging

G Fu, Y Zhou, P Gong, P Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Sleep staging is a vital process for evaluating sleep quality and diagnosing sleep-related
diseases. Most of the existing automatic sleep staging methods focus on time-domain …

Sleep stage classification using Light Gradient Boost Machine: Exploring feature impact in depressive and healthy participants

CH Tai, TY Liao, SP Chen, MH Chung - Biomedical Signal Processing and …, 2024 - Elsevier
Abstract Objectives This study compared Support Vector Machine (SVM), Random Forest,
and Light Gradient Boosting Machine (LightGBM) performance in sleep stage classification …

Employing a convolutional neural network to classify sleep stages from EEG signals using feature reduction techniques

MR Mohammed, AM Sagheer - Algorithms, 2024 - mdpi.com
One of the most essential components of human life is sleep. One of the first steps in spotting
abnormalities connected to sleep is classifying sleep stages. Based on the kind and …

An Autonomous Sleep-Stage Detection Technique in Disruptive Technology Environment

BL Radhakrishnan, K Ezra, IJ Jebadurai, I Selvakumar… - Sensors, 2024 - mdpi.com
Autonomous sleep tracking at home has become inevitable in today's fast-paced world. A
crucial aspect of addressing sleep-related issues involves accurately classifying sleep …

Sleep Track: Automated Detection and Classification of Sleep Stages

RPR Kumar, A Rithesh, P Josh, BK Raj… - E3S Web of …, 2023 - e3s-conferences.org
Sleep is vital for our body's physical restoration, but sleep disorders can cause various
problems. Determining sleep stages is essential for diagnosing and curing such disorders …

Automated Sleep Disorder Diagnosis Utilising EMG & EOG with Bi-LSTM Model and a Novel Reconfigurable Filter bank

B Keerthana, K Narasimhan, N Raju… - Wireless Personal …, 2024 - Springer
Automated sleep disorders diagnosis is difficult because physiological symptoms vary
considerably. Furthermore, using Polysomnography (PSG) is an expensive, time …

Classifying sleep stages automatically in single-channel against multi-channel EEG: A performance analysis

BL Radhakrishnan, E Kirubakaran, IJ Jebadurai… - … Technologies for Big …, 2022 - Springer
Sleep plays a vital part in humans health. The correct classification of sleep stages provides
clinical information that can be used to diagnose sleep disorders in patients. The gold …