Obstructive Sleep Apnea Classification Using Snore Sounds Based on Deep Learning

AI-driven approaches for automatic detection of sleep apnea/hypopnea based on human physiological signals: a review

D Peng, L Sun, Q Zhou, Y Zhang - Health Information Science and …, 2025 - Springer
Sleep apnea/hypopnea is a sleep disorder characterized by repeated pauses in breathing
which could induce a series of health problems such as cardiovascular disease (CVD) and …
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Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation using Recursive Spiking Neural Networks

L Werthen-Brabants, Y Castillo-Escario… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: To develop a novel method for improved screening of sleep apnea in home
environments, focusing on reliable estimation of the Apnea-Hypopnea Index (AHI) without …
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[PDF] dergipark.org.tr

MFCC Öznitelikleri ve Adaboost Topluluk Öğrenme Yöntemi Kullanılarak Uyku Seslerinin Sınıflandırılması

EA Sağbaş - Computer Science, 2023 - dergipark.org.tr
Düzenli ve kaliteli bir gece uykusu insan hayatında hayati önem taşımaktadır. Uyku kalitesi,
insanların ve çevrelerindekilerin günlük yaşamları üzerinde büyük bir etkiye sahiptir …
被引用次数：2 相关文章 所有 2 个版本