Analysis of nocturnal desaturation waveforms using algorithms in patients with idiopathic pulmonary fibrosis.

Yuichiro YasudaTatsuya NaganoShintaro IzumiMina YasudaKosuke TsurunoKazunori TobinoKyosuke NakataKayoko OkamuraTeruaki NishiumaKiyonobu TakatsukiYasuhiro FunadaHisashi OhnishiMasatsugu YamamotoYoshihiro NishimuraKazuyuki Kobayashi

Published in: Sleep & breathing = Schlaf & Atmung (2021)

We demonstrated the prevalence of each waveform and association between each waveform and sleep parameters in patients with IPF. This classification algorithm may be useful to predict the degree of hypoxemia or the complication of obstructive sleep apnea.

Keyphrases

idiopathic pulmonary fibrosis
obstructive sleep apnea
machine learning
deep learning
positive airway pressure
sleep quality
interstitial lung disease
sleep apnea
risk factors
physical activity
blood pressure
rheumatoid arthritis
neural network