Sleep apnea and respiratory anomaly detection from a wearable band and oxygen saturation.

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作者： Wolfgang,Ganglberger ^[1] ; Abigail A,Bucklin ^[2] ; Ryan A,Tesh ^[1] ; Madalena,Da Silva Cardoso ^[1] ; Haoqi,Sun ^[1] ; Michael J,Leone ^[1] ; Luis,Paixao ^[1] ; Ezhil,Panneerselvam ^[1] ; Elissa M,Ye ^[3] ; B Taylor,Thompson ^[1] ; Oluwaseun,Akeju ^[1] ; David,Kuller ^[4] ; Robert J,Thomas ^[5] ; M Brandon,Westover ^[6]

作者单位： Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA. ^[1] Sleep & Health Zurich, University of Zurich, Zurich, Switzerland. ^[2] Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO, 63110, USA. ^[3] Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA. ^[4] Department of Anesthesiology, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA. ^[5] MyAir Inc., Boston, MA, USA. ^[6] Division of Pulmonary, Critical Care & Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA. ^[7] Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA. mwestover@mgh.harvard.edu. ^[8]

关键词 Apnea Machine learning Respiration disorders Wearable

主题词人类(Humans);氧(Oxygen);多道睡眠描记术(Polysomnography);呼吸频率(Respiratory Rate);睡眠呼吸暂停综合征(Sleep Apnea Syndromes)

DOI 10.1007/s11325-021-02465-2

PMID 34409545

发布时间 2023-04-02

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