FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection

Guanhua Ye,Hongzhi Yin,Tong Chen,Hongxu Chen,Lizhen Cui,Xiangliang Zhang

IEEE Journal of Biomedical and Health Informatics（2021）

引用 16|浏览60

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摘要

Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous disease that seriously jeopardizes the health of human beings. Polysomnography (PSG), the gold standard of detecting OSA, requires multiple specialized sensors for signal collection, hence patients have to physically visit hospitals and bear the costly treatment for a single detection. Recently, many single-sensor alternatives h...

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关键词

Sensors,Intelligent sensors,Sleep apnea,Feature extraction,Hidden Markov models,Wearable sensors,Wearable computers

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