Sleep Apnea Classification Algorithm Development Using a Machine-Learning Framework and Bag-of-Features Derived from Electrocardiogram Spectrograms.

Cheng-Yu LinYi-Wen WangFebryan SetiawanNguyen Thi Hoang TrangChe-Wei Lin

Published in: Journal of clinical medicine (2021)

An SA-detection algorithm utilizing BoF and a machine-learning framework was successfully developed in this study with satisfactory classification accuracy and high temporal resolution.

Keyphrases

machine learning
sleep apnea
deep learning
artificial intelligence
big data
positive airway pressure
obstructive sleep apnea
single molecule
loop mediated isothermal amplification