Application of photoplethysmography signals for healthcare systems: An in-depth review

HW Loh, S Xu, O Faust, CP Ooi, PD Barua… - Computer Methods and …, 2022 - Elsevier
Background and objectives Photoplethysmography (PPG) is a device that measures the
amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn …

The 2023 wearable photoplethysmography roadmap

PH Charlton, J Allen, R Bailón, S Baker… - Physiological …, 2023 - iopscience.iop.org
Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …

Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works

P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …

The Sleep Revolution project: the concept and objectives

ES Arnardottir, AS Islind, M Óskarsdottir… - Journal of sleep …, 2022 - Wiley Online Library
Obstructive sleep apnea is linked to severe health consequences such as hypertension,
daytime sleepiness, and cardiovascular disease. Nearly a billion people are estimated to …

Review and perspective on sleep-disordered breathing research and translation to clinics

H Korkalainen, S Kainulainen, AS Islind… - Sleep Medicine …, 2023 - Elsevier
Sleep-disordered breathing, ranging from habitual snoring to severe obstructive sleep
apnea, is a prevalent public health issue. Despite rising interest in sleep and awareness of …

SleepPPG-Net: A deep learning algorithm for robust sleep staging from continuous photoplethysmography

K Kotzen, PH Charlton, S Salabi, L Amar… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Sleep staging is an essential component in the diagnosis of sleep disorders and
management of sleep health. Sleep is traditionally measured in a clinical setting and …

Application of artificial intelligence in the diagnosis of sleep apnea

G Bazoukis, SC Bollepalli, CT Chung, X Li… - Journal of Clinical …, 2023 - jcsm.aasm.org
Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

A comparison of signal combinations for deep learning-based simultaneous sleep staging and respiratory event detection

R Huttunen, T Leppänen, B Duce… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: Obstructive sleep apnea (OSA) is diagnosed using the apnea-hypopnea index
(AHI), which is the average number of respiratory events per hour of sleep. Recently …

Translation of obstructive sleep apnea pathophysiology and phenotypes to personalized treatment: a narrative review

WT McNicholas, H Korkalainen - Frontiers in Neurology, 2023 - frontiersin.org
Obstructive Sleep Apnea (OSA) arises due to periodic blockage of the upper airway (UA)
during sleep, as negative pressure generated during inspiration overcomes the force …

Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring

Q Zhang, H Wang, X Zhu, A Li, C Liu, Y Guo, H Kan… - The Innovation, 2023 - cell.com
Obstructive sleep apnea (OSA) can lead to sleep deprivation, accidents, and cardiovascular
diseases. However, research on the short-term effects of air pollutants on OSA severity is …