Optimal classifier for detection of obstructive sleep apnea using a heartbeat signal

E Urtnasan, JU Park, SY Lee, KJ Lee - International Journal of Fuzzy …, 2017 - dbpia.co.kr
This study is to find the optimum classifier that can be easy and robust diagnostic method of
the obstructive sleep apnea (OSA) using a heartbeat signal. The heartbeat signal was …

[PDF][PDF] 基于LSTM-CNN 的睡眠呼吸暂停与低通气事件实时检测算法研究

余辉, 王硕, 李心蕊, 邓晨阳, 孙敬来… - 中国生物医学工程 …, 2020 - cjbme.csbme.org
睡眠呼吸暂停与低通气综合征(SAHS) 严重影响睡眠质量ꎬ 是一种潜在的致死性呼吸疾病ꎮ
为了兼顾对睡眠呼吸暂停与低通气(AH) 事件检测的准确率与时间分辨率ꎬ 提出一种长短时记忆 …

An overview of health monitoring systems for arrhythmia patients

S Kerdoudi, L Guezouli, T Dilekh - International Symposium on Modelling …, 2022 - Springer
Cardiac rhythm disorders (arrhythmias) are one of the leading causes of death worldwide.
Therefore, the detection and classification of arrhythmias are essential for diagnosing …

Ecg and heart rate variability in sleep-related breathing disorders

H Qin, F Vaquerizo-Villar, N Steenbergen… - Advances in the …, 2022 - Springer
Here we discuss the current perspectives of comprehensive heart rate variability (HRV)
analysis in electrocardiogram (ECG) signals as a non-invasive and reliable measure to …

Automatic Obstructive Sleep Apnea Identification Using First Order Statistics Features of Electrocardiogram and Machine Learning

AN Indrawati, N Nuryani, W Wiharto… - … Engineering, and Health …, 2023 - Springer
Abstract Obstructive Sleep Apnea (OSA), or cessation of breathing during sleep, is caused
by a blocked upper airway. OSA is one of the causes of sudden death caused by heart …

Auditory rhythm complexity affects cardiac dynamics during perception and production

S Wright, C Palmer - 2023 - europepmc.org
Perception and production of auditory rhythms are key capacities for human behaviors such
as speech and music. Auditory rhythms in music range in the complexity of successive tone …

1D Convolutional Neural Network for Obstructive Sleep Apnea Detection

A Bhongade, R Gupta… - 2023 IEEE 20th India …, 2023 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a condition that influences many people and is determined
by events of reduced respiratory airflow during sleep. However, electrocardiogram (ECG) …

Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection

D Padovano, A Martinez-Rodrigo… - 2023 Computing in …, 2023 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a substantial health risk often associated with severe
cardiovascular diseases, yet it frequently goes undiagnosed by the prohibitive cost of gold …

Screening of cardiac disease based on integrated modeling of heart rate variability

S Chen, L Chen, X Zhang, Z Yang - Biomedical Signal Processing and …, 2021 - Elsevier
Background: Cardiac diseases due to the disorder of the sympathetic nervous system and
the parasympathetic nervous system are the leading causes for an estimated 17.9 million …

A Sleep Apnea Detection Methodology Based on SE-ResNeXt Model Using Single-Lead ECG

TA Vu, DTT Phuong, HQ Huy, NP Kien… - Journal of Biomimetics …, 2024 - Trans Tech Publ
Sleep apnea (SA) is considered one of the most dangerous sleep disorders. That happens
when a person is sleeping, his or her breathing repeatedly stops and starts. In order to …