Detection of Obstructive Sleep Apnea Using Deep Neural Network

Accurate detection of sleep apnea with long short-term memory network based on RR interval signals

“…The research provided precedents of employing Convolutional Neural Network (CNN) to detect disease using ECG signals. In apnea detection tasks, directly feeding original ECG signals to deep neural networks is adopted by some researchers [38,39,40], but the high ECG data rate limits the network depth. As such, the RR interval signal is derived from the ECG extracting the beat-to-beat record of RR-intervals and is, as a time series, irregularly sampled.…”