415 related articles for article (PubMed ID: 28254077)
21. EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature Analysis.
Zhang B; Lei T; Liu H; Cai H
Comput Math Methods Med; 2018; 2018():6534041. PubMed ID: 30254690
[TBL] [Abstract][Full Text] [Related]
22. DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG.
Supratak A; Dong H; Wu C; Guo Y
IEEE Trans Neural Syst Rehabil Eng; 2017 Nov; 25(11):1998-2008. PubMed ID: 28678710
[TBL] [Abstract][Full Text] [Related]
23. Deep convolutional neural network for classification of sleep stages from single-channel EEG signals.
Mousavi Z; Yousefi Rezaii T; Sheykhivand S; Farzamnia A; Razavi SN
J Neurosci Methods; 2019 Aug; 324():108312. PubMed ID: 31201824
[TBL] [Abstract][Full Text] [Related]
24. Comparison of feature and classifier algorithms for online automatic sleep staging based on a single EEG signal.
Radha M; Garcia-Molina G; Poel M; Tononi G
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1876-80. PubMed ID: 25570344
[TBL] [Abstract][Full Text] [Related]
25. Analysis and Classification of Sleep Stages Based on Common Frequency Pattern From a Single-Channel EEG Signal.
Huang S; Zhu J; Chen Y; Wang T; Ma T
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():3711-3714. PubMed ID: 33018807
[TBL] [Abstract][Full Text] [Related]
26. A Novel Multi-Class EEG-Based Sleep Stage Classification System.
Memar P; Faradji F
IEEE Trans Neural Syst Rehabil Eng; 2018 Jan; 26(1):84-95. PubMed ID: 29324406
[TBL] [Abstract][Full Text] [Related]
27. A Comparison Study on Multidomain EEG Features for Sleep Stage Classification.
Zhang Y; Wang B; Jing J; Zhang J; Zou J; Nakamura M
Comput Intell Neurosci; 2017; 2017():4574079. PubMed ID: 29230239
[TBL] [Abstract][Full Text] [Related]
28. Single-channel EEG sleep stage classification based on a streamlined set of statistical features in wavelet domain.
da Silveira TL; Kozakevicius AJ; Rodrigues CR
Med Biol Eng Comput; 2017 Feb; 55(2):343-352. PubMed ID: 27193344
[TBL] [Abstract][Full Text] [Related]
29. Ensemble learning algorithm based on multi-parameters for sleep staging.
Wang Q; Zhao D; Wang Y; Hou X
Med Biol Eng Comput; 2019 Aug; 57(8):1693-1707. PubMed ID: 31104274
[TBL] [Abstract][Full Text] [Related]
30. Automatic detection and classification of sleep stages by multichannel EEG signal modeling.
Zhovna I; Shallom ID
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():2665-8. PubMed ID: 19163253
[TBL] [Abstract][Full Text] [Related]
31. An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 Subjects.
Sharma M; Yadav A; Tiwari J; Karabatak M; Yildirim O; Acharya UR
Int J Environ Res Public Health; 2022 Jun; 19(12):. PubMed ID: 35742426
[TBL] [Abstract][Full Text] [Related]
32. A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms.
Şen B; Peker M; Çavuşoğlu A; Çelebi FV
J Med Syst; 2014 Mar; 38(3):18. PubMed ID: 24609509
[TBL] [Abstract][Full Text] [Related]
33. Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals.
Shi M; He H; Geng W; Wu R; Zhan C; Jin Y; Zhu F; Ren S; Shen B
Front Physiol; 2020; 11():118. PubMed ID: 32158399
[TBL] [Abstract][Full Text] [Related]
34. Automatic sleep stage classification using ear-EEG.
Stochholm A; Mikkelsen K; Kidmose P
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4751-4754. PubMed ID: 28269332
[TBL] [Abstract][Full Text] [Related]
35. An effective hybrid feature selection using entropy weight method for automatic sleep staging.
Wang W; Li J; Fang Y; Zheng Y; You F
Physiol Meas; 2023 Oct; 44(10):. PubMed ID: 37783214
[No Abstract] [Full Text] [Related]
36. Sleep staging from single-channel EEG with multi-scale feature and contextual information.
Chen K; Zhang C; Ma J; Wang G; Zhang J
Sleep Breath; 2019 Dec; 23(4):1159-1167. PubMed ID: 30863994
[TBL] [Abstract][Full Text] [Related]
37. Sleep Spindle Detection Using RUSBoost and Synchrosqueezed Wavelet Transform.
Kinoshita T; Fujiwara K; Kano M; Ogawa K; Sumi Y; Matsuo M; Kadotani H
IEEE Trans Neural Syst Rehabil Eng; 2020 Feb; 28(2):390-398. PubMed ID: 31944960
[TBL] [Abstract][Full Text] [Related]
38. Automatic Sleep Stage Classification Using Temporal Convolutional Neural Network and New Data Augmentation Technique from Raw Single-Channel EEG.
Khalili E; Mohammadzadeh Asl B
Comput Methods Programs Biomed; 2021 Jun; 204():106063. PubMed ID: 33823315
[TBL] [Abstract][Full Text] [Related]
39. Automatic sleep stage classification of single-channel EEG by using complex-valued convolutional neural network.
Zhang J; Wu Y
Biomed Tech (Berl); 2018 Mar; 63(2):177-190. PubMed ID: 28222011
[TBL] [Abstract][Full Text] [Related]
40. Automated EEG sleep staging in the term-age baby using a generative modelling approach.
Pillay K; Dereymaeker A; Jansen K; Naulaers G; Van Huffel S; De Vos M
J Neural Eng; 2018 Jun; 15(3):036004. PubMed ID: 29380744
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
