BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

234 related articles for article (PubMed ID: 29620019)

  • 1. A comparison of probabilistic classifiers for sleep stage classification.
    Fonseca P; den Teuling N; Long X; Aarts RM
    Physiol Meas; 2018 May; 39(5):055001. PubMed ID: 29620019
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography in Healthy Middle-Aged Adults.
    Fonseca P; Weysen T; Goelema MS; Møst EIS; Radha M; Lunsingh Scheurleer C; van den Heuvel L; Aarts RM
    Sleep; 2017 Jul; 40(7):. PubMed ID: 28838130
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploiting temporal and nonstationary features in breathing sound analysis for multiple obstructive sleep apnea severity classification.
    Kim J; Kim T; Lee D; Kim JW; Lee K
    Biomed Eng Online; 2017 Jan; 16(1):6. PubMed ID: 28086902
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated sleep stage classification based on tracheal body sound and actigraphy.
    Kalkbrenner C; Brucher R; Kesztyüs T; Eichenlaub M; Rottbauer W; Scharnbeck D
    Ger Med Sci; 2019; 17():Doc02. PubMed ID: 30996721
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging.
    Long X; Yang J; Weysen T; Haakma R; Foussier J; Fonseca P; Aarts RM
    Physiol Meas; 2014 Dec; 35(12):2529-42. PubMed ID: 25407770
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Impact of obstructive sleep apnea on sleep-wake stage ratio.
    Ng AK; Guan C
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4660-3. PubMed ID: 23366967
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Regional distribution of ventilation in patients with obstructive sleep apnea: the role of thoracic electrical impedance tomography (EIT) monitoring.
    Bongiovanni F; Mura B; Tagliaferri C; Bisanti A; Testani E; Maviglia R; Della Marca G
    Sleep Breath; 2016 Dec; 20(4):1245-1253. PubMed ID: 27136936
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea.
    Korkalainen H; Aakko J; Duce B; Kainulainen S; Leino A; Nikkonen S; Afara IO; Myllymaa S; Töyräs J; Leppänen T
    Sleep; 2020 Nov; 43(11):. PubMed ID: 32436942
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring.
    Davies HJ; Nakamura T; Mandic DP
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3641-3644. PubMed ID: 31946665
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assessment of obstructive sleep apnea-related sleep fragmentation utilizing deep learning-based sleep staging from photoplethysmography.
    Huttunen R; Leppänen T; Duce B; Oksenberg A; Myllymaa S; Töyräs J; Korkalainen H
    Sleep; 2021 Oct; 44(10):. PubMed ID: 34089616
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sleep stage classification with ECG and respiratory effort.
    Fonseca P; Long X; Radha M; Haakma R; Aarts RM; Rolink J
    Physiol Meas; 2015 Oct; 36(10):2027-40. PubMed ID: 26289580
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Investigating the contribution of distance-based features to automatic sleep stage classification.
    Gharbali AA; Najdi S; Fonseca JM
    Comput Biol Med; 2018 May; 96():8-23. PubMed ID: 29529528
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic sleep stages classification using respiratory, heart rate and movement signals.
    Gaiduk M; Penzel T; Ortega JA; Seepold R
    Physiol Meas; 2018 Dec; 39(12):124008. PubMed ID: 30524059
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Characterizing the phenotypes of obstructive sleep apnea: clinical, sleep, and autonomic features of obstructive sleep apnea with and without hypoxia.
    Palma JA; Iriarte J; Fernandez S; Valencia M; Alegre M; Artieda J; Urrestarazu E
    Clin Neurophysiol; 2014 Sep; 125(9):1783-91. PubMed ID: 24631013
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhancing Current Cardiorespiratory-based Approaches of Sleep Stage Classification by Temporal Feature Stacking.
    Weber L; Gaiduk M; Seepold R; Madrid NM; Glos M; Penzel T
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():5518-5522. PubMed ID: 34892374
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Process and outcome for international reliability in sleep scoring.
    Zhang X; Dong X; Kantelhardt JW; Li J; Zhao L; Garcia C; Glos M; Penzel T; Han F
    Sleep Breath; 2015 Mar; 19(1):191-5. PubMed ID: 24801137
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.
    Korkalainen H; Aakko J; Nikkonen S; Kainulainen S; Leino A; Duce B; Afara IO; Myllymaa S; Toyras J; Leppanen T
    IEEE J Biomed Health Inform; 2020 Jul; 24(7):2073-2081. PubMed ID: 31869808
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Scoring accuracy of automated sleep staging from a bipolar electroocular recording compared to manual scoring by multiple raters.
    Stepnowsky C; Levendowski D; Popovic D; Ayappa I; Rapoport DM
    Sleep Med; 2013 Nov; 14(11):1199-207. PubMed ID: 24047533
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic sleep staging from ventilator signals in non-invasive ventilation.
    Sady CC; Freitas US; Portmann A; Muir JF; Letellier C; Aguirre LA
    Comput Biol Med; 2013 Aug; 43(7):833-9. PubMed ID: 23746724
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.