Hypoxic burden based on automatically identified desaturations is associated with adverse health outcomes

N Esmaeili, G Labarca, WH Hu, D Vena… - Annals of the …, 2023 - atsjournals.org
Rationale: Recent studies have shown that sleep apnea–specific intermittent hypoxemia
quantified by the hypoxic burden (HB) predicted cardiovascular disease (CVD)–related …

A comprehensive evaluation of contemporary methods used for automatic sleep staging

D Sarkar, D Guha, P Tarafdar, S Sarkar… - … Signal Processing and …, 2022 - Elsevier
This paper presents a systematic review of automatic sleep staging studies.
Polysomnographic (PSG) data is used for the study of sleep staging. The benchmark for …

Classifying sleep–wake stages through recurrent neural networks using pulse oximetry signals

R Casal, LE Di Persia, G Schlotthauer - Biomedical Signal Processing and …, 2021 - Elsevier
The regulation of the autonomic nervous system changes with the sleep stages causing
variations in the physiological variables. We exploit these changes with the aim of …

Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals

R Casal, LE Di Persia, G Schlotthauer - Journal of Computational Science, 2022 - Elsevier
Sleep disorders are very widespread in the world population and suffer from a generalized
underdiagnosis, given the complexity of their diagnostic methods. Therefore, there is an …

Photoplethysmographic-based automated sleep–wake classification using a support vector machine

MA Motin, C Karmakar, M Palaniswami… - Physiological …, 2020 - iopscience.iop.org
Objective: Sleep quality has a significant impact on human mental and physical health. The
detection of sleep–wake states is thus of paramount importance in the study of sleep. The …

Sleep staging algorithm based on smartwatch sensors for healthy and sleep apnea populations

FB Silva, LFS Uribe, FX Cepeda, VFS Alquati… - Sleep Medicine, 2024 - Elsevier
Objective Sleep stages can provide valuable insights into an individual's sleep quality. By
leveraging movement and heart rate data collected by modern smartwatches, it is possible …

Hybrid sleep stage classification for clinical practices across different polysomnography systems using frontal EEG

CH Su, LW Ko, JC Juang, CY Hsu - Processes, 2021 - mdpi.com
Automatic bio-signal processing and scoring have been a popular topic in recent years. This
includes sleep stage classification, which is time-consuming when carried out by hand …

The impact of study type and sleep measurement on oxygen desaturation index calculation

CB Whenn, DL Wilson, WR Ruehland… - Journal of Clinical …, 2024 - jcsm.aasm.org
Study Objectives: The oxygen desaturation index (ODI) is an important measure of sleep-
disordered breathing during polysomnography (PSG); however, the AASM Manual (V3) …

Study on identification method of driver fatigue considering individual ECG differences

W Sun, W Jiang, C Li, Y Si, S Li, M Guo, D Liu… - Cognition, Technology & …, 2024 - Springer
Driver fatigue is one of the main causes of road traffic accidents. Because of the individual
differences between drivers, the common characteristics of driver fatigue are not clear, and …

Sleep pattern analysis in unconstrained and unconscious state

WH Jun, HJ Kim, YS Hong - Sensors, 2022 - mdpi.com
Sleep accounts for one-third of an individual's life and is a measure of health. Both sleep
time and quality are essential, and a person requires sound sleep to stay healthy. Generally …