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A generalized algorithm for the automatic diagnosis of sleep apnea from per-sample encoding of airflow and oximetry.

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第一作者： M B,Uddin

第一单位： School of Biomedical Engineering, Faculty of Engineering & Information Technology, University of Technology Sydney, Sydney, Australia.;Centre for Health Technologies, University of Technology Sydney, Sydney, Australia.;Department of Biomedical Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh.

作者： M B,Uddin ^[1] ; C M,Chow ^[2] ; S H,Ling ^[3] ; S W,Su ^[3]

作者单位： School of Biomedical Engineering, Faculty of Engineering & Information Technology, University of Technology Sydney, Sydney, Australia.;Centre for Health Technologies, University of Technology Sydney, Sydney, Australia.;Department of Biomedical Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh. ^[1] Sleep Research Group, Charles Perkins Centre, The University of Sydney, Sydney, Australia.;Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia. ^[2] School of Biomedical Engineering, Faculty of Engineering & Information Technology, University of Technology Sydney, Sydney, Australia.;Centre for Health Technologies, University of Technology Sydney, Sydney, Australia. ^[3]

关键词 4 class accuracy computed total sleep time peak excursion per-sample encoding time lag adjustment

医学主题词算法(Algorithms);人类(Humans);血氧测定法(Oximetry);呼吸(Respiration);睡眠呼吸暂停综合征(Sleep Apnea Syndromes);睡眠呼吸暂停,阻塞性(Sleep Apnea, Obstructive)

DOI 10.1088/1361-6579/ac6b11

PMID 35477173

发布时间 2022-07-05

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