Efficient sleep apnea detection using single-lead ECG: A CNN-Transformer-LSTM approach.

Journal: Computers in biology and medicine
Published Date: Jul 3, 2025

Abstract

BACKGROUND: Sleep apnea (SA), a prevalent sleep-related breathing disorder, disrupts normal respiratory patterns during sleep. This disruption can have a cascading effect on the body, potentially leading to complications in various organs, including the heart, brain, and lungs. Due to the potential for these complications, early and accurate detection of SA is critical. Electrocardiograms (ECG), due to their ability to continuously monitor heart rhythms and detect subtle changes in cardiac activity, such as heart rate variability and arrhythmias, which are often linked to sleep disruptions, have become crucial in identifying individuals at risk for SA.

Authors

  • Duc Thien Pham
    Faculty of Applied Sciences, University of West Bohemia in Pilsen, Pilsen, 301 00, Czech Republic. Electronic address: ducthien@kiv.zcu.cz.
  • Roman Mouček
    Department of Computer Science and Engineering, University of West Bohemia in Pilsen, Pilsen, 30100, Czech Republic. Electronic address: moucek@kiv.zcu.cz.

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