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 …

Automated sleep scoring system using multi-channel data and machine learning

RS Arslan, H Ulutaş, AS Köksal, M Bakır… - Computers in Biology and …, 2022 - Elsevier
Sleep staging is one of the most important parts of sleep assessment and it has an important
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …

An Adaptive Sleep Apnea Detection Model using Multi Cascaded Atrous based Deep Learning Schemes with Hybrid Artificial Humming Bird Pity Beetle Algorithm

A Selvaraj, VRS Sundaram, M Mahdal - IEEE Access, 2023 - ieeexplore.ieee.org
Obstructive Sleep Apnea (OSA) is the cessation in breathing that must be identified as early
as possible to save the patient's life. Apart from physical diagnosis, a deep learning model …

Sleep Apnea Detection Using Wavelet Scattering Transformation and Random Forest Classifier

AI Sharaf - Entropy, 2023 - mdpi.com
Obstructive Sleep Apnea (OSA) is a common sleep-breathing disorder that highly reduces
the quality of human life. The most powerful method for the detection and classification of …

Machine Learning and Electrocardiography Signal‐Based Minimum Calculation Time Detection for Blood Pressure Detection

M Nour, D Kandaz, MK Ucar, K Polat… - … Methods in Medicine, 2022 - Wiley Online Library
Objective. Measurement and monitoring of blood pressure are of great importance for
preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore …

Existing Methodologies, Evaluation Metrics, Research Gaps, and Future Research Trends: A Sleep Stage Classification Framework

AR Raja, PK Polasi - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
The quality of life of the patients is degraded when the person is affected with sleep-related
disorders that include narcolepsy, insomnia, and sleep apnea. The sleep stage classification …

Non-contact capacitive ECG signal acquisition using an electrode array

Z Xiao, Y Xing, Y Li, C Yang, J Li… - … Conference on Sensing …, 2021 - ieeexplore.ieee.org
This paper provides a non-contact capacitive coupling electrocardiogram (cECG) acquisition
system. The shielded electrode structure can effectively reduce the power line interference …

Biological signals for diagnosing sleep stages using machine learning models

SH Mostafaei, J Tanha, A Sharafkhaneh… - … Computer Society of …, 2023 - ieeexplore.ieee.org
Sleep quality is important for health and can prevent diseases. Polysomnography is a
standard scientific and clinical tool to evaluate sleep. Sleep staging is one of the main tasks …

ECG-derived respiration for sleep-wake stage classification

RV Sharan - 2021 IEEE International Conference on Artificial …, 2021 - ieeexplore.ieee.org
Sleep disorders affect millions of people worldwide. Polysomnography (PSG) is a sleep
study that is commonly used to diagnose sleep disorders, such as using sleep staging …

An Artificial Intelligence-Based Approach for Automated Classification of Obstructive Sleep Apnea by Considering Multi-modal Feature Fusion Technique

P Pratyasha, S Gupta, GL Simegn - Sleep and Vigilance, 2023 - Springer
Abstract Obstructive Sleep Apnea (OSA) is a crucial sleep-breath disorder often
characterized by partial or complete cessation of airflow during sleep. The syndrome has a …