A review of obstructive sleep apnea detection approaches

F Mendonca, SS Mostafa… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep disorders are a common health condition that can affect numerous aspects of life.
Obstructive sleep apnea is one of the most common disorders and is characterized by a …

[HTML][HTML] Current status and future challenges of sleep monitoring systems: Systematic review

Q Pan, D Brulin, E Campo - JMIR Biomedical Engineering, 2020 - biomedeng.jmir.org
Background: Sleep is essential for human health. Considerable effort has been put into
academic and industrial research and in the development of wireless body area networks for …

A smart system for sleep monitoring by integrating IoT with big data analytics

DC Yacchirema, D Sarabia-Jácome, CE Palau… - IEEE …, 2018 - ieeexplore.ieee.org
Obtrusive sleep apnea (OSA) is one of the most important sleep disorders because it has a
direct adverse impact on the quality of life. Intellectual deterioration, decreased psychomotor …

[HTML][HTML] Ferroelectric composite-based piezoelectric energy harvester for self-powered detection of obstructive sleep

S Panda, H Shin, S Hajra, Y Oh, W Oh, J Lee… - Journal of …, 2023 - Elsevier
Lead-free piezoelectric ceramic is a promising material for energy harvesters, as they have
superior electromechanical, ferroelectric, and piezoelectric properties. In addition …

A dual-model deep learning method for sleep apnea detection based on representation learning and temporal dependence

H Qin, G Liu - Neurocomputing, 2022 - Elsevier
Sleep apnea (SA) is a sleep-breathing disorder accompanied by multiple complications. The
SA detection method based on a single-lead electrocardiogram (ECG) has the …

Wireless sleep apnea detection using continuous wave quadrature Doppler radar

M Baboli, A Singh, B Soll, O Boric-Lubecke… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
A non-contact and non-invasive physiological radar monitoring system (PRMS) is
introduced. The system is based on motion detection using quadrature microwave Doppler …

Classification of the excitation location of snore sounds in the upper airway by acoustic multifeature analysis

K Qian, C Janott, V Pandit, Z Zhang… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Objective: Obstructive sleep apnea (OSA) is a serious chronic disease and a risk factor for
cardiovascular diseases. Snoring is a typical symptom of OSA patients. Knowledge of the …

Automatically detecting apnea-hypopnea snoring signal based on vgg19+ lstm

L Ding, J Peng, L Song, X Zhang - Biomedical Signal Processing and …, 2023 - Elsevier
Snoring is a typical syndrome of obstructive sleep apnea hypopnea syndrome (OSAHS).
The acoustic analysis of snoring sound has been proved potential to develop a non-invasive …

Automatic cough segmentation from non-contact sound recordings in pediatric wards

YA Amrulloh, UR Abeyratne, V Swarnkar… - … Signal Processing and …, 2015 - Elsevier
Cough is a common symptom of almost all childhood respiratory diseases. In a typical
consultation session, physicians may seek for qualitative information (eg, wetness) and …

Utility of AdaBoost to detect sleep apnea-hypopnea syndrome from single-channel airflow

GC Gutiérrez-Tobal, D Alvarez… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
Goal: The purpose of this study is to evaluate the usefulness of the boosting algorithm
AdaBoost (AB) in the context of the sleep apnea-hypopnea syndrome (SAHS) diagnosis …