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

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

IntroductionSleep apnoea syndrome (SAS) is a serious sleep disorder and early detection of sleep apnoea not only reduces treatment costs but also saves lives. Conventional polysomnography (PSG) is widely regarded as the gold standard diagnostic tool for sleep apnoea. However, this method is expensiv...

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Bibliographic Details
Main Authors: Xin Xiong, Aikun Wang, Jianfeng He, Chunwu Wang, Ruixiang Liu, Zhiran Sun, Jiancong Zhang, Jing Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Neuroscience
Subjects:
sleep apnea detection
ECG signal
fusion model
optimisation algorithm
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1324933/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2024.1324933/full

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