Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea

DOI10.34768/AMCS-2023-0036zbMath1529.92028MaRDI QIDQ6069363

Usha Rani Kandukuri, Ryszard Tadeusiewicz, Paweł Pławiak, Bala Chakravarthy Neelapu, Kiran Kumar Patro, Allam Jaya Prakash

Publication date: 14 November 2023

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

zbMATH Keywords

obstructive sleep apneadeep learningapneaconvolutional neural networkconstant Q-transformnon-apneasingle-lead ECG signals

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Biomedical imaging and signal processing (92C55)

Cites Work

• Breast cancer nuclei segmentation and classification based on a deep learning approach
• Stochastic models of the slow/fast type of atrioventricular nodal reentrant tachycardia and tachycardia with conduction aberration
• Uncertainty quantification in scientific machine learning: methods, metrics, and comparisons

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