These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

271 related articles for article (PubMed ID: 25570344)

  • 1. 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]  

  • 2. Sleep staging algorithm based on multichannel data adding and multifeature screening.
    Huang W; Guo B; Shen Y; Tang X; Zhang T; Li D; Jiang Z
    Comput Methods Programs Biomed; 2020 Apr; 187():105253. PubMed ID: 31812884
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Amplitude-Time Dual-View Fused EEG Temporal Feature Learning for Automatic Sleep Staging.
    An P; Zhao J; Du B; Zhao W; Zhang T; Yuan Z
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6492-6506. PubMed ID: 36215384
    [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. An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov Model.
    Ghimatgar H; Kazemi K; Helfroush MS; Aarabi A
    J Neurosci Methods; 2019 Aug; 324():108320. PubMed ID: 31228517
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparative analysis of different characteristics of automatic sleep stages.
    Zhao D; Wang Y; Wang Q; Wang X
    Comput Methods Programs Biomed; 2019 Jul; 175():53-72. PubMed ID: 31104715
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier.
    Al-Salman W; Li Y; Wen P
    Neurosci Res; 2021 Nov; 172():26-40. PubMed ID: 33965451
    [TBL] [Abstract][Full Text] [Related]  

  • 8. HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring.
    Li X; Cui L; Tao S; Chen J; Zhang X; Zhang GQ
    IEEE J Biomed Health Inform; 2018 Mar; 22(2):375-385. PubMed ID: 28222004
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Sleep stage classification using single-channel EOG.
    Rahman MM; Bhuiyan MIH; Hassan AR
    Comput Biol Med; 2018 Nov; 102():211-220. PubMed ID: 30170769
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal.
    Zhu G; Li Y; Wen PP
    IEEE J Biomed Health Inform; 2014 Nov; 18(6):1813-21. PubMed ID: 25375678
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Machine learning-empowered sleep staging classification using multi-modality signals.
    Satapathy SK; Brahma B; Panda B; Barsocchi P; Bhoi AK
    BMC Med Inform Decis Mak; 2024 May; 24(1):119. PubMed ID: 38711099
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-channel EEG-based sleep staging using brain functional connectivity and domain adaptation.
    Yuan W; Xiang W; Si K; Yang C; Zhao L; Li J; Liu C
    Physiol Meas; 2023 Oct; 44(10):. PubMed ID: 37827169
    [No Abstract]   [Full Text] [Related]  

  • 16. An ensemble system for automatic sleep stage classification using single channel EEG signal.
    Koley B; Dey D
    Comput Biol Med; 2012 Dec; 42(12):1186-95. PubMed ID: 23102750
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Multiple classifier systems for automatic sleep scoring in mice.
    Gao V; Turek F; Vitaterna M
    J Neurosci Methods; 2016 May; 264():33-39. PubMed ID: 26928255
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Assessment of Itakura Distance as a valuable feature for computer-aided classification of sleep stages.
    Ebrahimi F; Mikaili M; Estrada E; Nazeran H
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3300-3. PubMed ID: 18002701
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.