2023
DOI: 10.21203/rs.3.rs-2589738/v1
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Defining, Detecting and Assessment of Microstructures in Different Stages of Sleep Apnea Transients Using ECG and EEG Features in CSA and OSA Patients

Abstract: The sleep recordings of 32 patients with obstructive sleep apnea (OSA) and central sleep apnea (CSA) were analyzed with signal processing and statistical methods. The aim of the present study was to analyze electrocardiogram (ECG) and electroencephalogram (EEG) signals, along with other polysomnography (PSG) outcomes, according to sleep stages, sleep apnea types, and apnea/hypopnea index, and to demonstrate their association with EEG microstructures that cannot be detected visually. Patients were classified in… Show more

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