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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

355 related items for PubMed ID: 28841459

  • 21. Agreement of different methods for assessing sleep characteristics: a comparison of two actigraphs, wrist and hip placement, and self-report with polysomnography.
    Zinkhan M, Berger K, Hense S, Nagel M, Obst A, Koch B, Penzel T, Fietze I, Ahrens W, Young P, Happe S, Kantelhardt JW, Kluttig A, Schmidt-Pokrzywniak A, Pillmann F, Stang A.
    Sleep Med; 2014 Sep; 15(9):1107-14. PubMed ID: 25018025
    [Abstract] [Full Text] [Related]

  • 22. Validation of the Sleep-Wake Scoring of a New Wrist-Worn Sleep Monitoring Device.
    Pigeon WR, Taylor M, Bui A, Oleynk C, Walsh P, Bishop TM.
    J Clin Sleep Med; 2018 Jun 15; 14(6):1057-1062. PubMed ID: 29852899
    [Abstract] [Full Text] [Related]

  • 23. Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches.
    Ma YJX, Zschocke J, Glos M, Kluge M, Penzel T, Kantelhardt JW, Bartsch RP.
    Comput Biol Med; 2023 Sep 15; 163():107193. PubMed ID: 37421734
    [Abstract] [Full Text] [Related]

  • 24. 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 28; 43(4):. PubMed ID: 35381584
    [Abstract] [Full Text] [Related]

  • 25. Comparison between heart rate variability and pulse rate variability during different sleep stages for sleep apnea patients.
    Liu S, Teng J, Qi X, Wei S, Liu C.
    Technol Health Care; 2017 Apr 28; 25(3):435-445. PubMed ID: 27911348
    [Abstract] [Full Text] [Related]

  • 26. 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 Apr 28; 17():Doc02. PubMed ID: 30996721
    [Abstract] [Full Text] [Related]

  • 27. Factors that may influence the classification of sleep-wake by wrist actigraphy: the MrOS Sleep Study.
    Blackwell T, Ancoli-Israel S, Redline S, Stone KL, Osteoporotic Fractures in Men (MrOS) Study Group.
    J Clin Sleep Med; 2011 Aug 15; 7(4):357-67. PubMed ID: 21897772
    [Abstract] [Full Text] [Related]

  • 28.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 29.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 30.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 31.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 32. Discrepancy between wrist-actigraph and polysomnographic measures of sleep in patients with stable heart failure and a novel approach to evaluating discrepancy.
    Jeon S, Conley S, Redeker NS.
    J Sleep Res; 2019 Apr 15; 28(2):e12717. PubMed ID: 29943403
    [Abstract] [Full Text] [Related]

  • 33.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 34.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 35. Detection of driver drowsiness using wavelet analysis of heart rate variability and a support vector machine classifier.
    Li G, Chung WY.
    Sensors (Basel); 2013 Dec 02; 13(12):16494-511. PubMed ID: 24316564
    [Abstract] [Full Text] [Related]

  • 36. Sleep/wake detection based on cardiorespiratory signals and actigraphy.
    Devot S, Dratwa R, Naujokat E.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010 Dec 02; 2010():5089-92. PubMed ID: 21096033
    [Abstract] [Full Text] [Related]

  • 37.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 38.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 39.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 40.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

    Page: [Previous] [Next] [New Search]
    of 18.