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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

79 related items for PubMed ID: 29667936

  • 1. Automated algorithms for detecting sleep period time using a multi-sensor pattern-recognition activity monitor from 24 h free-living data in older adults.
    Cabanas-Sánchez V, Higueras-Fresnillo S, De la Cámara MÁ, Veiga OL, Martinez-Gomez D.
    Physiol Meas; 2018 May 16; 39(5):055002. PubMed ID: 29667936
    [Abstract] [Full Text] [Related]

  • 2. Identifying waking time in 24-h accelerometry data in adults using an automated algorithm.
    van der Berg JD, Willems PJ, van der Velde JH, Savelberg HH, Schaper NC, Schram MT, Sep SJ, Dagnelie PC, Bosma H, Stehouwer CD, Koster A.
    J Sports Sci; 2016 Oct 16; 34(19):1867-73. PubMed ID: 26837855
    [Abstract] [Full Text] [Related]

  • 3. Can an automated sleep detection algorithm for waist-worn accelerometry replace sleep logs?
    Barreira TV, Redmond JG, Brutsaert TD, Schuna JM, Mire EF, Katzmarzyk PT, Tudor-Locke C.
    Appl Physiol Nutr Metab; 2018 Oct 16; 43(10):1027-1032. PubMed ID: 29701486
    [Abstract] [Full Text] [Related]

  • 4. Free-living cross-comparison of two wearable monitors for sleep and physical activity in healthy young adults.
    Cellini N, McDevitt EA, Mednick SC, Buman MP.
    Physiol Behav; 2016 Apr 01; 157():79-86. PubMed ID: 26821185
    [Abstract] [Full Text] [Related]

  • 5. Validation of pattern-recognition monitors in children using doubly labeled water.
    Calabró MA, Stewart JM, Welk GJ.
    Med Sci Sports Exerc; 2013 Jul 01; 45(7):1313-22. PubMed ID: 23299766
    [Abstract] [Full Text] [Related]

  • 6. Algorithms for using an activity-based accelerometer for identification of infant sleep-wake states during nap studies.
    Galland BC, Kennedy GJ, Mitchell EA, Taylor BJ.
    Sleep Med; 2012 Jun 01; 13(6):743-51. PubMed ID: 22542788
    [Abstract] [Full Text] [Related]

  • 7. The convergent validity of Actiwatch 2 and ActiGraph Link accelerometers in measuring total sleeping period, wake after sleep onset, and sleep efficiency in free-living condition.
    Lee PH, Suen LK.
    Sleep Breath; 2017 Mar 01; 21(1):209-215. PubMed ID: 27614441
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  • 12. Detection of movement in bed using unobtrusive load cell sensors.
    Adami AM, Pavel M, Hayes TL, Singer CM.
    IEEE Trans Inf Technol Biomed; 2010 Mar 01; 14(2):481-90. PubMed ID: 19171523
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  • 13. Comparison of Commercial Wrist-Based and Smartphone Accelerometers, Actigraphy, and PSG in a Clinical Cohort of Children and Adolescents.
    Toon E, Davey MJ, Hollis SL, Nixon GM, Horne RS, Biggs SN.
    J Clin Sleep Med; 2016 Mar 01; 12(3):343-50. PubMed ID: 26446248
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  • 14. The validity of consumer-level, activity monitors in healthy adults worn in free-living conditions: a cross-sectional study.
    Ferguson T, Rowlands AV, Olds T, Maher C.
    Int J Behav Nutr Phys Act; 2015 Mar 27; 12():42. PubMed ID: 25890168
    [Abstract] [Full Text] [Related]

  • 15. Identifying adults' valid waking wear time by automated estimation in activPAL data collected with a 24 h wear protocol.
    Winkler EA, Bodicoat DH, Healy GN, Bakrania K, Yates T, Owen N, Dunstan DW, Edwardson CL.
    Physiol Meas; 2016 Oct 27; 37(10):1653-1668. PubMed ID: 27652827
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  • 16. Criteria for nap identification in infants and young children using 24-h actigraphy and agreement with parental diary.
    Galland B, Meredith-Jones K, Gray A, Sayers R, Lawrence J, Taylor B, Taylor R.
    Sleep Med; 2016 Mar 27; 19():85-92. PubMed ID: 27198952
    [Abstract] [Full Text] [Related]

  • 17. Objectively measured night-to-night sleep variations are associated with body composition in very elderly women.
    Kim M, Sasai H, Kojima N, Kim H.
    J Sleep Res; 2015 Dec 27; 24(6):639-47. PubMed ID: 26250860
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  • 18. Reproducibility of a Standardized Actigraphy Scoring Algorithm for Sleep in a US Hispanic/Latino Population.
    Patel SR, Weng J, Rueschman M, Dudley KA, Loredo JS, Mossavar-Rahmani Y, Ramirez M, Ramos AR, Reid K, Seiger AN, Sotres-Alvarez D, Zee PC, Wang R.
    Sleep; 2015 Sep 01; 38(9):1497-503. PubMed ID: 25845697
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  • 19. Validity of an automated algorithm to identify waking and in-bed wear time in hip-worn accelerometer data collected with a 24 h wear protocol in young adults.
    McVeigh JA, Winkler EA, Healy GN, Slater J, Eastwood PR, Straker LM.
    Physiol Meas; 2016 Oct 01; 37(10):1636-1652. PubMed ID: 27652717
    [Abstract] [Full Text] [Related]

  • 20. Twenty-four Hours of Sleep, Sedentary Behavior, and Physical Activity with Nine Wearable Devices.
    Rosenberger ME, Buman MP, Haskell WL, McConnell MV, Carstensen LL.
    Med Sci Sports Exerc; 2016 Mar 01; 48(3):457-65. PubMed ID: 26484953
    [Abstract] [Full Text] [Related]

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