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 …

A Review on the Applications of Time‐Frequency Methods in ECG Analysis

BK Pradhan, BC Neelappu… - Journal of …, 2023 - Wiley Online Library
The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …

Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture

H Liu, S Cui, X Zhao, F Cong - Biomedical Signal Processing and Control, 2023 - Elsevier
Obstructive sleep apnea (OSA) is a sleep breathing disorder that can seriously affect the
health of patients. The manual diagnostic of OSA through the Polysomnography (PSG) …

A new general type-2 fuzzy predictive scheme for PID tuning

J Tavoosi, M Shirkhani, A Abdali, A Mohammadzadeh… - Applied Sciences, 2021 - mdpi.com
The proportional-integral-derivative controller is widely used in various industrial
applications. But, in many noisy problems the strong methods are needed to optimize the …

Automatic detection of sleep apnea from single-lead ECG signal using enhanced-deep belief network model

PK Tyagi, D Agrawal - Biomedical Signal Processing and Control, 2023 - Elsevier
Sleep apnea (SLA) is a commonly reported sleep disorder that is characterized by frequent
breathing interruptions during sleep. In recent years, various approaches have been made …

A novel measure of cardiopulmonary coupling during sleep based on the synchrosqueezing transform algorithm

Y Wang, W Shi, CH Yeh - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
Objective: This paper presents a novel method to quantify cardiopulmonary dynamics for
automatic sleep apnea detection by integrating the synchrosqueezing transform (SST) …

Detection of sleep apnea from electrocardiogram and pulse oximetry signals using random forest

J Zhu, A Zhou, Q Gong, Y Zhou, J Huang, Z Chen - Applied Sciences, 2022 - mdpi.com
Sleep apnea (SA) is a common sleep disorder which could impair the human physiological
system. Therefore, early diagnosis of SA is of great interest. The traditional method of …

A deep learning framework for automatic sleep apnea classification based on empirical mode decomposition derived from single-lead electrocardiogram

F Setiawan, CW Lin - Life, 2022 - mdpi.com
Background: Although polysomnography (PSG) is a gold standard tool for diagnosing sleep
apnea (SA), it can reduce the patient's sleep quality by the placement of several disturbing …

Sleep disorder and apnea events detection framework with high performance using two-tier learning model design

RS Arslan - PeerJ Computer Science, 2023 - peerj.com
Sleep apnea is defined as a breathing disorder that affects sleep. Early detection of sleep
apnea helps doctors to take intervention for patients to prevent sleep apnea. Manually …

Design and Implementation of IoT based sleep monitoring system for Insomniac people

K Rajguru, P Tarpe, V Aswar, K Bawane… - … and Smart Energy …, 2022 - ieeexplore.ieee.org
Sleep deprivation is a major issue driving attention in the medical and healthcare
department. There are some traditional approaches, such as polysomnography, medical …