176 related articles for article (PubMed ID: 30254690)
1. 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]
2. Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting.
Hassan AR; Bhuiyan MIH
Comput Methods Programs Biomed; 2017 Mar; 140():201-210. PubMed ID: 28254077
[TBL] [Abstract][Full Text] [Related]
3. [Automatic sleep staging based on power spectral density and random forest].
Gao Q; Wu K
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Apr; 40(2):280-285. PubMed ID: 37139759
[TBL] [Abstract][Full Text] [Related]
4. A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features.
Hassan AR; Bhuiyan MI
J Neurosci Methods; 2016 Sep; 271():107-18. PubMed ID: 27456762
[TBL] [Abstract][Full Text] [Related]
5. [Automatic Sleep Staging Method Based on Energy Features and Least Squares Support Vector Machine Classifier].
Gao Q; Zhou J; Ye B; Wu X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Jun; 32(3):531-6. PubMed ID: 26485973
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A Distributed Classification Procedure for Automatic Sleep Stage Scoring Based on Instantaneous Electroencephalogram Phase and Envelope Features.
Karimzadeh F; Boostani R; Seraj E; Sameni R
IEEE Trans Neural Syst Rehabil Eng; 2018 Feb; 26(2):362-370. PubMed ID: 29432107
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals.
Ebrahimi F; Setarehdan SK; Ayala-Moyeda J; Nazeran H
Comput Methods Programs Biomed; 2013 Oct; 112(1):47-57. PubMed ID: 23895941
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of a Single-Channel EEG-Based Sleep Staging Algorithm.
Zhao S; Long F; Wei X; Ni X; Wang H; Wei B
Int J Environ Res Public Health; 2022 Mar; 19(5):. PubMed ID: 35270548
[TBL] [Abstract][Full Text] [Related]
11. Automated sleep staging of OSAs based on ICA preprocessing and consolidation of temporal correlations.
Raiesdana S
Australas Phys Eng Sci Med; 2018 Mar; 41(1):161-176. PubMed ID: 29423558
[TBL] [Abstract][Full Text] [Related]
12. A New Fully Automated Random-Forest Algorithm for Sleep Staging.
Klok AB; Edin J; Cesari M; Olesen AN; Jennum P; Sorensen HBD
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():4920-4923. PubMed ID: 30441446
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. [Study on Sleep Staging Based on Support Vector Machines and Feature Selection in Single Channel Electroencephalogram].
Lin X; Xia Y; Qian S
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Jun; 32(3):503-7, 513. PubMed ID: 26485968
[TBL] [Abstract][Full Text] [Related]
15. Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning.
Shi J; Liu X; Li Y; Zhang Q; Li Y; Ying S
J Neurosci Methods; 2015 Oct; 254():94-101. PubMed ID: 26192325
[TBL] [Abstract][Full Text] [Related]
16. Automatic classification of sleep stages based on the time-frequency image of EEG signals.
Bajaj V; Pachori RB
Comput Methods Programs Biomed; 2013 Dec; 112(3):320-8. PubMed ID: 24008250
[TBL] [Abstract][Full Text] [Related]
17. A comparative review on sleep stage classification methods in patients and healthy individuals.
Boostani R; Karimzadeh F; Nami M
Comput Methods Programs Biomed; 2017 Mar; 140():77-91. PubMed ID: 28254093
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. [Automatic sleep staging model based on single channel electroencephalogram signal].
Zhang H; Xu Z; Yuan C; Ji C; Liu Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Jun; 40(3):458-464. PubMed ID: 37380384
[TBL] [Abstract][Full Text] [Related]
20. An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification.
Abdulla S; Diykh M; Siuly S; Ali M
Int J Med Inform; 2023 Mar; 171():105001. PubMed ID: 36708665
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]