A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool | Zendy

Ao Li | Zendy; Stuart F. Quan | Zendy; Graciela E. Silva | Zendy; Michelle M. Perfect | Zendy; Janet Roveda | Zendy

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A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool

Author(s) -

Ao Li,

Stuart F. Quan,

Graciela E. Silva,

Michelle M. Perfect,

Janet Roveda

Publication year - 2018

Publication title -

journal of clinical sleep medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.529

H-Index - 92

eISSN - 1550-9397

pISSN - 1550-9389

DOI - 10.5664/jcsm.7182

Subject(s) - sleep disordered breathing , medicine , sleep (system call) , artificial neural network , breathing , polysomnography , physical medicine and rehabilitation , artificial intelligence , neuroscience , obstructive sleep apnea , electroencephalography , cardiology , psychiatry , computer science , psychology , operating system

This study evaluated a novel artificial neural network (ANN) based sleep-disordered breathing (SDB) screening tool incorporating nocturnal pulse oximetry with demographic, anatomic, and clinical data. The tool was compatible with 6 categories of apnea-hypopnea index (AHI) with 4% oxyhemoglobin desaturation threshold, ≥ 5, 10, 15, 20, 25, and 30 events/h.

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