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 *

383 related articles for article (PubMed ID: 29529528)

  • 21. 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]  

  • 22. 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]  

  • 23. Sleep stage and obstructive apneaic epoch classification using single-lead ECG.
    Yilmaz B; Asyali MH; Arikan E; Yetkin S; Ozgen F
    Biomed Eng Online; 2010 Aug; 9():39. PubMed ID: 20723232
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Itakura Distance: A Useful Similarity Measure between EEG and EOG Signals in Computer-aided Classification of Sleep Stages.
    Estrada E; Nava P; Nazeran H; Behbehani K; Burk J; Lucas E
    Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():1189-92. PubMed ID: 17282405
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph Similarity.
    Diykh M; Li Y; Wen P
    IEEE Trans Neural Syst Rehabil Eng; 2016 Nov; 24(11):1159-1168. PubMed ID: 27101613
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Sleep-Wake Classification using Statistical Features Extracted from Photoplethysmographic Signals.
    Motin MA; Kumar Karmakar C; Penzel T; Palaniswami M
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5564-5567. PubMed ID: 31947116
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. 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]  

  • 30. Multivariate analysis of full-term neonatal polysomnographic data.
    Gerla V; Paul K; Lhotska L; Krajca V
    IEEE Trans Inf Technol Biomed; 2009 Jan; 13(1):104-10. PubMed ID: 19129029
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A rule-based automatic sleep staging method.
    Liang SF; Kuo CE; Hu YH; Cheng YS
    J Neurosci Methods; 2012 Mar; 205(1):169-76. PubMed ID: 22245090
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification.
    Aktaruzzaman M; Rivolta MW; Karmacharya R; Scarabottolo N; Pugnetti L; Garegnani M; Bovi G; Scalera G; Ferrarin M; Sassi R
    Comput Biol Med; 2017 Oct; 89():212-221. PubMed ID: 28841459
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. A Novel Sleep Stage Scoring System: Combining Expert-Based Rules with a Decision Tree Classifier.
    Gunnarsdottir KM; Gamaldo CE; Salas RME; Ewen JB; Allen RP; Sarma SV
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():3240-3243. PubMed ID: 30441082
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Efficient sleep classification based on entropy features and a support vector machine classifier.
    Zhang Z; Wei S; Zhu G; Liu F; Li Y; Dong X; Liu C; Liu F
    Physiol Meas; 2018 Nov; 39(11):115005. PubMed ID: 30475743
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Cardiorespiratory Sleep Stage Detection Using Conditional Random Fields.
    Fonseca P; den Teuling N; Long X; Aarts RM
    IEEE J Biomed Health Inform; 2017 Jul; 21(4):956-966. PubMed ID: 27076473
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification.
    Herrera LJ; Fernandes CM; Mora AM; Migotina D; Largo R; Guillen A; Rosa AC
    Int J Neural Syst; 2013 Jun; 23(3):1350012. PubMed ID: 23627659
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Sleep staging classification based on a new parallel fusion method of multiple sources signals.
    Hei Y; Yuan T; Fan Z; Yang B; Hu J
    Physiol Meas; 2022 Apr; 43(4):. PubMed ID: 35381584
    [No Abstract]   [Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 20.