RAFNet: Restricted attention fusion network for sleep apnea detection

Author:

Chen Ying,Yue Huijun,Zou Ruifeng,Lei Wenbin,Ma Wenjun,Fan XiaomaoORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference40 articles.

1. Classification of obstructive sleep apnoea from single-lead ECG signals using convolutional neural and long short term memory networks;Almutairi;Biomedical Signal Processing and Control,2021

2. Detection of sleep apnea from singlelead ECG: Comparison of deep learning algorithms;Bahrami,2021

3. Sleep apnoea and ischaemic stroke: current knowledge and future directions;Baillieul;The Lancet Neurology,2022

4. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis;Benjafield;The Lancet Respiratory Medicine,2019

5. Sleep apnea detection based on rician modeling of feature variation in multiband EEG signal;Bhattacharjee;IEEE Journal of Biomedical and Health Informatics,2018

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