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Effect of the Hilbert-Huang transform method on sleep staging.

, , , , и . SIU, стр. 1-4. IEEE, (2017)

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Identification of full-night sleep parameters using morphological features of ECG signals: A practical alternative to EEG and EOG signals., , , , и . Biomed. Signal Process. Control., 88 (Part B): 105633 (февраля 2024)EKG parametrelerinin uyku evreleri ve OSAS ile ilişkisinin incelenmesi (Analyzing the relationship of ECG parameters with the sleep stages and OSAS). Selçuk University, Turkey, (2017)Pre-determination of OSA degree using morphological features of the ECG signal., , , , , и . Expert Syst. Appl., (2017)Analyzing the effect of data preprocessing techniques using machine learning algorithms on the diagnosis of COVID-19., , , и . Concurr. Comput. Pract. Exp., (2022)Effect of the Hilbert-Huang transform method on sleep staging., , , , и . SIU, стр. 1-4. IEEE, (2017)A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification., , , , , , и . Neural Comput. Appl., 28 (10): 3095-3112 (2017)Elimination of EMG artifacts from EEG signal in sleep staging., , , , , и . SIU, стр. 1345-1348. IEEE, (2016)Autism spectrum disorder detection using sequential minimal optimization-support vector machine hybrid classifier according to history of jaundice and family autism in children., и . Concurr. Comput. Pract. Exp., (2022)Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods., , , , , и . Neural Comput. Appl., 29 (8): 17-33 (2018)Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal., , , , и . Expert Syst. Appl., (2018)