Sleep Track: Automated Detection and Classification of Sleep Stages

Sleep Track: Automated Detection and Classification of Sleep Stages

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. Polysomnography (PSG) signals are recordings of brain activity, eye movements, muscle activity and other physiological s...

Full description

Bibliographic Details
Main Authors:	Ram Kumar R.P., Rithesh A., Josh Pranav, Karthik Raj B., John Vivek, Shiva Prasad Doma
Format:	Article
Language:	English
Published:	EDP Sciences 2023-01-01
Series:	E3S Web of Conferences
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01020.pdf

Similar Items

Automation of classification of sleep stages and estimation of sleep efficiency using actigraphy
by: Hyejin Kim, et al.
Published: (2023-01-01)

Automated sleep stage classification in sleep apnoea using convolutional neural networks
by: G. Naveen Sundar, et al.
Published: (2021-01-01)

Towards automated sleep-stage classification for adaptive deep brain stimulation targeting sleep in patients with Parkinson’s disease
by: Katrina Carver, et al.
Published: (2023-12-01)

Automated sleep stage classification based on tracheal body sound and actigraphy
by: Kalkbrenner, Christoph, et al.
Published: (2019-02-01)

Multimodal Sleep Signals-Based Automated Sleep Arousal Detection
by: Guangxin Zhou, et al.
Published: (2020-01-01)

SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach.
by: Sajad Mousavi, et al.
Published: (2019-01-01)

Classification of healthy subjects and insomniac patients based on automated sleep onset detection
by: Dissanayaka, Chamila, et al.
Published: (2015)

Evaluation of Sleep Parameters and Sleep Staging (Slow Wave Sleep) in Athletes by Fitbit Alta HR, a Consumer Sleep Tracking Device
by: Kawasaki Y, et al.
Published: (2022-04-01)

Multi-stage sleep classification using photoplethysmographic sensor
by: Mohammod Abdul Motin, et al.
Published: (2023-04-01)

A Holistic Strategy for Classification of Sleep Stages with EEG
by: Sunil Kumar Prabhakar, et al.
Published: (2022-05-01)

Evaluation of an automated single-channel sleep staging algorithm
by: Wang Y, et al.
Published: (2015-09-01)

Automated Sleep Stage Classification in Home Environments: An Evaluation of Seven Deep Neural Network Architectures
by: Jaime Yeckle, et al.
Published: (2023-11-01)

Reliability of Family Dogs’ Sleep Structure Scoring Based on Manual and Automated Sleep Stage Identification
by: Anna Gergely, et al.
Published: (2020-05-01)

Spotlight on Sleep Stage Classification Based on EEG
by: Lambert I, et al.
Published: (2023-06-01)

Automated sleep stage detection based on recurrence quantification analysis using machine learning
by: Mohammad Karimi Moridani, et al.
Published: (2022-10-01)

4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification
by: Menglei Li, et al.
Published: (2023-01-01)

Exploration of sleep function connection and classification strategies based on sub-period sleep stages
by: Fangzhou Xu, et al.
Published: (2023-01-01)

Automating the detection of REM sleep behaviour disorder
by: Cooray, N, et al.
Published: (2018)

Sleep CLIP: A Multimodal Sleep Staging Model Based on Sleep Signals and Sleep Staging Labels
by: Weijia Yang, et al.
Published: (2023-08-01)

Multitask Learning for Automated Sleep Staging and Wearable Technology Integration
by: Hao-Yi Chih, et al.
Published: (2024-01-01)

Automated Sleep Staging via Parallel Frequency-Cut Attention
by: Zheng Chen, et al.
Published: (2023-01-01)

An open-source, high-performance tool for automated sleep staging
by: Raphael Vallat, et al.
Published: (2021-10-01)

From Pulses to Sleep Stages: Towards Optimized Sleep Classification Using Heart-Rate Variability
by: Pavlos I. Topalidis, et al.
Published: (2023-11-01)

Age-integrated artificial intelligence framework for sleep stage classification and obstructive sleep apnea screening
by: Chaewon Kang, et al.
Published: (2023-06-01)

Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal
by: Pragati Tripathi, et al.
Published: (2022-01-01)

Joint classification and prediction CNN framework for automatic sleep stage classification
by: Phan, H, et al.
Published: (2018)

Automated sleep classification with chronic neural implants in freely behaving canines
by: Mivalt, F, et al.
Published: (2023)

Deep learning for automated sleep staging using instantaneous heart rate
by: Niranjan Sridhar, et al.
Published: (2020-08-01)

Sleep stability with home sleep recording and automatic sleep stage analysis.
by: Sharpley, A, et al.
Published: (1990)

A Novel Microwave Treatment for Sleep Disorders and Classification of Sleep Stages Using Multi-Scale Entropy
by: Daoshuang Geng, et al.
Published: (2020-03-01)

Automatic sleep stage detection based on electrooculography
by: Malaekah, E., et al.
Published: (2015)

An automatic method using MFCC features for sleep stage classification
by: Wei Pei, et al.
Published: (2024-02-01)

Automatic neonatal sleep stage classification: A comparative study
by: Saadullah Farooq Abbasi, et al.
Published: (2023-11-01)

Sleepless in COVID-19: how not to lose sleep in lockdowns
by: Siddharth Raj Yadav, et al.
Published: (2020-06-01)

Deep learning-based sleep stage classification with cardiorespiratory and body movement activities in individuals with suspected sleep disorders
by: Seiichi Morokuma, et al.
Published: (2023-10-01)

DynamicSleepNet: a multi-exit neural network with adaptive inference time for sleep stage classification
by: Wang Wenjian, et al.
Published: (2023-05-01)

Detection of REM sleep behaviour disorder by automated polysomnography analysis
by: Cooray, N, et al.
Published: (2019)

U-Sleep: resilient high-frequency sleep staging
by: Mathias Perslev, et al.
Published: (2021-04-01)

SleepAp: an automated obstructive sleep apnoea screening application for smartphones.
by: Behar, J, et al.
Published: (2015)

Simultaneous Sleep Stage and Sleep Disorder Detection from Multimodal Sensors Using Deep Learning
by: Yi-Hsuan Cheng, et al.
Published: (2023-03-01)