Automatic Obstructive Sleep Apnea Identification Using First Order Statistics Features of Electrocardiogram and Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1463-6_11
Reference34 articles.
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3. Khandoker AH, Karmakar CK, Palaniswami M (2009) Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings. Comput Biol Med 39(1):88–96
4. Li Z et al (2021) A model for obstructive sleep apnea detection using a multi-layer feed-forward neural network based on electrocardiogram, pulse oxygen saturation, and body mass index. Sleep Breath 25(4):2065–2072
5. Atri R, Mohebbi M (2015) Obstructive sleep apnea detection using spectrum and bispectrum analysis of single-lead ECG signal. Physiol Meas 36(9):1963
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