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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

236 related items for PubMed ID: 35635988

  • 1.
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  • 2. Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study.
    Albert JA, Owolabi V, Gebel A, Brahms CM, Granacher U, Arnrich B.
    Sensors (Basel); 2020 Sep 08; 20(18):. PubMed ID: 32911651
    [Abstract] [Full Text] [Related]

  • 3. Gait assessment using the Microsoft Xbox One Kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables.
    Mentiplay BF, Perraton LG, Bower KJ, Pua YH, McGaw R, Heywood S, Clark RA.
    J Biomech; 2015 Jul 16; 48(10):2166-70. PubMed ID: 26065332
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  • 5. Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables.
    Clark RA, Bower KJ, Mentiplay BF, Paterson K, Pua YH.
    J Biomech; 2013 Oct 18; 46(15):2722-5. PubMed ID: 24016679
    [Abstract] [Full Text] [Related]

  • 6. Accuracy of the Microsoft Kinect for measuring gait parameters during treadmill walking.
    Xu X, McGorry RW, Chou LS, Lin JH, Chang CC.
    Gait Posture; 2015 Jul 18; 42(2):145-51. PubMed ID: 26002604
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  • 7. Kinematic Validation of a Multi-Kinect v2 Instrumented 10-Meter Walkway for Quantitative Gait Assessments.
    Geerse DJ, Coolen BH, Roerdink M.
    PLoS One; 2015 Jul 18; 10(10):e0139913. PubMed ID: 26461498
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  • 8. Comparison of Azure Kinect and optical retroreflective motion capture for kinematic and spatiotemporal evaluation of the sit-to-stand test.
    Thomas J, Hall JB, Bliss R, Guess TM.
    Gait Posture; 2022 May 18; 94():153-159. PubMed ID: 35334335
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  • 9. Improved kinect-based spatiotemporal and kinematic treadmill gait assessment.
    Eltoukhy M, Oh J, Kuenze C, Signorile J.
    Gait Posture; 2017 Jan 18; 51():77-83. PubMed ID: 27721202
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  • 10. Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system.
    Kanko RM, Laende EK, Strutzenberger G, Brown M, Selbie WS, DePaul V, Scott SH, Deluzio KJ.
    J Biomech; 2021 Jun 09; 122():110414. PubMed ID: 33915475
    [Abstract] [Full Text] [Related]

  • 11. Depth-Imaging for Gait Analysis on a Treadmill in Older Adults at Risk of Falling.
    Hackbarth M, Koschate J, Lau S, Zieschang T.
    IEEE J Transl Eng Health Med; 2023 Jun 09; 11():479-486. PubMed ID: 37817821
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  • 12. Ground reaction force and joint moment estimation during gait using an Azure Kinect-driven musculoskeletal modeling approach.
    Ripic Z, Kuenze C, Andersen MS, Theodorakos I, Signorile J, Eltoukhy M.
    Gait Posture; 2022 Jun 09; 95():49-55. PubMed ID: 35428024
    [Abstract] [Full Text] [Related]

  • 13. Accuracy of Video-Based Gait Analysis Using Pose Estimation During Treadmill Walking Versus Overground Walking in Persons After Stroke.
    John K, Stenum J, Chiang CC, French MA, Kim C, Manor J, Statton MA, Cherry-Allen KM, Roemmich RT.
    Phys Ther; 2024 Feb 01; 104(2):. PubMed ID: 37682075
    [Abstract] [Full Text] [Related]

  • 14. Concurrent validity of the Microsoft Kinect for Windows v2 for measuring spatiotemporal gait parameters.
    Dolatabadi E, Taati B, Mihailidis A.
    Med Eng Phys; 2016 Sep 01; 38(9):952-8. PubMed ID: 27387901
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  • 15. Validation of an ambient system for the measurement of gait parameters.
    Dubois A, Bresciani JP.
    J Biomech; 2018 Mar 01; 69():175-180. PubMed ID: 29397110
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  • 17. Validation of an algorithm to assess regular and irregular gait using inertial sensors in healthy and stroke individuals.
    Ensink C, Smulders K, Warnar J, Keijsers N.
    PeerJ; 2023 Mar 01; 11():e16641. PubMed ID: 38111664
    [Abstract] [Full Text] [Related]

  • 18. How the Processing Mode Influences Azure Kinect Body Tracking Results.
    Büker L, Quinten V, Hackbarth M, Hellmers S, Diekmann R, Hein A.
    Sensors (Basel); 2023 Jan 12; 23(2):. PubMed ID: 36679675
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