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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

299 related items for PubMed ID: 34201016

  • 1. A Validation Study of a Commercial Wearable Device to Automatically Detect and Estimate Sleep.
    Miller DJ, Roach GD, Lastella M, Scanlan AT, Bellenger CR, Halson SL, Sargent C.
    Biosensors (Basel); 2021 Jun 08; 11(6):. PubMed ID: 34201016
    [Abstract] [Full Text] [Related]

  • 2. A validation study of the WHOOP strap against polysomnography to assess sleep.
    Miller DJ, Lastella M, Scanlan AT, Bellenger C, Halson SL, Roach GD, Sargent C.
    J Sports Sci; 2020 Nov 08; 38(22):2631-2636. PubMed ID: 32713257
    [Abstract] [Full Text] [Related]

  • 3. Validation of a Consumer Sleep Wearable Device With Actigraphy and Polysomnography in Adolescents Across Sleep Opportunity Manipulations.
    Lee XK, Chee NIYN, Ong JL, Teo TB, van Rijn E, Lo JC, Chee MWL.
    J Clin Sleep Med; 2019 Sep 15; 15(9):1337-1346. PubMed ID: 31538605
    [Abstract] [Full Text] [Related]

  • 4. Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography.
    Roberts DM, Schade MM, Mathew GM, Gartenberg D, Buxton OM.
    Sleep; 2020 Jul 13; 43(7):. PubMed ID: 32215550
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Heart Rate Variability and Firstbeat Method for Detecting Sleep Stages in Healthy Young Adults: Feasibility Study.
    Kuula L, Pesonen AK.
    JMIR Mhealth Uhealth; 2021 Feb 03; 9(2):e24704. PubMed ID: 33533726
    [Abstract] [Full Text] [Related]

  • 7. A Validation of Six Wearable Devices for Estimating Sleep, Heart Rate and Heart Rate Variability in Healthy Adults.
    Miller DJ, Sargent C, Roach GD.
    Sensors (Basel); 2022 Aug 22; 22(16):. PubMed ID: 36016077
    [Abstract] [Full Text] [Related]

  • 8. A validation study of Fitbit Charge 2™ compared with polysomnography in adults.
    de Zambotti M, Goldstone A, Claudatos S, Colrain IM, Baker FC.
    Chronobiol Int; 2018 Apr 22; 35(4):465-476. PubMed ID: 29235907
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  • 10. 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 22; 12(3):343-50. PubMed ID: 26446248
    [Abstract] [Full Text] [Related]

  • 11. Improving Sleep Quality Assessment Using Wearable Sensors by Including Information From Postural/Sleep Position Changes and Body Acceleration: A Comparison of Chest-Worn Sensors, Wrist Actigraphy, and Polysomnography.
    Razjouyan J, Lee H, Parthasarathy S, Mohler J, Sharafkhaneh A, Najafi B.
    J Clin Sleep Med; 2017 Nov 15; 13(11):1301-1310. PubMed ID: 28992827
    [Abstract] [Full Text] [Related]

  • 12. Performance of Fitbit Charge 3 against polysomnography in measuring sleep in adolescent boys and girls.
    Menghini L, Yuksel D, Goldstone A, Baker FC, de Zambotti M.
    Chronobiol Int; 2021 Jul 15; 38(7):1010-1022. PubMed ID: 33792456
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  • 15. Validation of photoplethysmography- and acceleration-based sleep staging in a community sample: comparison with polysomnography and Actiwatch.
    Liu PK, Ting N, Chiu HC, Lin YC, Liu YT, Ku BW, Lee PL.
    J Clin Sleep Med; 2023 Oct 01; 19(10):1797-1810. PubMed ID: 37338335
    [Abstract] [Full Text] [Related]

  • 16. PSG Validation of minute-to-minute scoring for sleep and wake periods in a consumer wearable device.
    Cheung J, Leary EB, Lu H, Zeitzer JM, Mignot E.
    PLoS One; 2020 Oct 01; 15(9):e0238464. PubMed ID: 32941498
    [Abstract] [Full Text] [Related]

  • 17. Performance of a multisensor smart ring to evaluate sleep: in-lab and home-based evaluation of generalized and personalized algorithms.
    Grandner MA, Bromberg Z, Hadley A, Morrell Z, Graf A, Hutchison S, Freckleton D.
    Sleep; 2023 Jan 11; 46(1):. PubMed ID: 35767600
    [Abstract] [Full Text] [Related]

  • 18. AI-Driven sleep staging from actigraphy and heart rate.
    Song TA, Chowdhury SR, Malekzadeh M, Harrison S, Hoge TB, Redline S, Stone KL, Saxena R, Purcell SM, Dutta J.
    PLoS One; 2023 Jan 11; 18(5):e0285703. PubMed ID: 37195925
    [Abstract] [Full Text] [Related]

  • 19. 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 01; 40(7):. PubMed ID: 28838130
    [Abstract] [Full Text] [Related]

  • 20. Validation of Zulu Watch against Polysomnography and Actigraphy for On-Wrist Sleep-Wake Determination and Sleep-Depth Estimation.
    Devine JK, Chinoy ED, Markwald RR, Schwartz LP, Hursh SR.
    Sensors (Basel); 2020 Dec 25; 21(1):. PubMed ID: 33375557
    [Abstract] [Full Text] [Related]

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