A Deep Learning Framework for Sleep Apnea Detection

Author:

Sathiya A.,Sridevi A.,Dharani K. G.

Publisher

Springer Nature Singapore

Reference26 articles.

1. Chaw HT, Kamolphiwong S, Wongsritrang K (2019) Sleep apnea detection using deep learning. IEEE 13(4):261–266

2. Feng K, Qin H, Wu S, Pan W, Liu G (2020) A sleep apnea detection method based on unsupervised feature learning and single-lead electrocardiogram. IEEE Trans Instrum Meas 70:1–12

3. Shao S, Han G, Wang T, Song C, Yao C, Hou J (2022) Obstructive sleep apnea detection scheme based on manually generated features and parallel heterogeneous deep learning model under IoMT. IEEE J Biomed Health Inform 26(12):5841–5850

4. Shen Q, Qin H, Wei K, Liu G (2021) Multiscale deep neural network for obstructive sleep apnea detection using RR interval from single-lead ECG signal. IEEE Trans Instrum Meas 70:1–13

5. Hu S, Cai W, Gao T, Wang M (2022) A hybrid transformer model for obstructive sleep apnea detection based on self-attention mechanism using single-lead ECG. IEEE Trans Instrum Meas 71:1–11

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