Computational ensemble expert system classification for the recognition of bruxism using physiological signals

P Tripathi, MA Ansari, TK Gandhi, F Albalwy… - Heliyon, 2024 - cell.com
This study aimed to develop an automatic diagnostic scheme for bruxism, a sleep-related
disorder characterized by teeth grinding and clenching. The aim was to improve on existing …

DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics

S Lee, TH Pham, P Zhang - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Sleep staging is a key challenge in diagnosing and treating sleep-related diseases due to its
labor-intensive, time-consuming, costly, and error-prone. With the availability of large-scale …

Dual-Teacher Feature Distillation: A Transfer Learning Method for Insomniac PSG Staging

L Duan, Y Zhang, Z Huang, B Ma… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Insomnia is the most common sleep disorder linked with adverse long-term medical and
psychiatric outcomes. Automatic sleep staging plays a crucial role in aiding doctors to …

Detection of obstructive sleep apnea using non-negative matrix factorization-based feature extraction approach in eigen spectrum domain

N Sinha, A Das - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is the most prevalent type sleeping disorder that highly
affects people's health impairment by threatening the cardiovascular system. As an …

[PDF][PDF] Obstructive sleep apnea (OSA) classification based on heart rate variability (HRV) on electrocardiogram (ECG) signal using support vector machine (SVM)

A Rizal, FDAA Siregar, HT Fauzi - Traitement du Signal, 2022 - researchgate.net
Accepted: 2 April 2022 Obstructive sleep apnea (OSA) is a disorder that occurs in a person's
sleep pattern, and due to its ability to cause other health-related problems, various …

Application of LightGBM hybrid model based on TPE algorithm optimization in sleep apnea detection

X Xiong, A Wang, J He, C Wang, R Liu, Z Sun… - Frontiers in …, 2024 - frontiersin.org
Introduction Sleep apnoea syndrome (SAS) is a serious sleep disorder and early detection
of sleep apnoea not only reduces treatment costs but also saves lives. Conventional …

An Automatic Coronary Microvascular Dysfunction Classification Method Based on Hybrid ECG Features and Expert Features

M Jiang, F Bian, J Zhang, Z Pu, H Li… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Objective: In recent years, the early diagnosis and treatment of coronary microvascular
dysfunction (CMD) have become crucial for preventing coronary heart disease. This paper …

BrainZ-BP: A Non-invasive Cuff-less Blood Pressure Estimation Approach Leveraging Brain Bio-impedance and Electrocardiogram

B Yang, L Liu, W Wu, M Zhou, H Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate and continuous blood pressure (BP) monitoring is essential to the early prevention
of cardiovascular diseases (CVDs). Noninvasive and cuff-less BP estimation algorithm has …

Validity study of a multiscaled fusion network using single-lead electrocardiogram signals for obstructive sleep apnea diagnosis

H Yue, P Li, Y Li, Y Lin, B Huang, L Sun… - Journal of Clinical …, 2023 - jcsm.aasm.org
Study Objectives: We evaluated the validity of a squeeze-and-excitation and multiscaled
fusion network (SE-MSCNN) using single-lead electrocardiogram (ECG) signals for …

A fine-grained convolutional recurrent model for obstructive sleep apnea detection

E Zhang, Y Yao, N Zhou, Y Chen, H Zhang… - International Journal of …, 2024 - Springer
Abstract Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing disorder that
leads to various health issues such as hypertension, heart disease, diabetes, and stroke. In …