Investigation of HR and QT Variability for Monitoring Sleep Apnea: An Interpretable Machine Learning Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68639-9_11
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5. Khandoker, A.H., Karmakar, C.K., Palaniswami, M.: Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings. Comput. Biol. Med. 39(1), 88–96 (2009)
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