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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

164 related items for PubMed ID: 35907374

  • 1. Enabling Gait Analysis in the Telemedicine Practice through Portable and Accurate 3D Human Pose Estimation.
    Martini E, Boldo M, Aldegheri S, Valè N, Filippetti M, Smania N, Bertucco M, Picelli A, Bombieri N.
    Comput Methods Programs Biomed; 2022 Oct; 225():107016. PubMed ID: 35907374
    [Abstract] [Full Text] [Related]

  • 2. Preserving Data Privacy and Accuracy of Human Pose Estimation Software Based on CNN s for Remote Gait Analysis.
    Martini E, Boldo M, Aldegheri S, Vale N, Filippetti M, Smania N, Bertucco M, Picelli A, Bombieri N.
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3468-3471. PubMed ID: 36085885
    [Abstract] [Full Text] [Related]

  • 3. Comparing the accuracy of open-source pose estimation methods for measuring gait kinematics.
    Washabaugh EP, Shanmugam TA, Ranganathan R, Krishnan C.
    Gait Posture; 2022 Sep; 97():188-195. PubMed ID: 35988434
    [Abstract] [Full Text] [Related]

  • 4. Applications and limitations of current markerless motion capture methods for clinical gait biomechanics.
    Wade L, Needham L, McGuigan P, Bilzon J.
    PeerJ; 2022 Sep; 10():e12995. PubMed ID: 35237469
    [Abstract] [Full Text] [Related]

  • 5. Inter-trial variability is higher in 3D markerless compared to marker-based motion capture: Implications for data post-processing and analysis.
    Horsak B, Prock K, Krondorfer P, Siragy T, Simonlehner M, Dumphart B.
    J Biomech; 2024 Mar; 166():112049. PubMed ID: 38493576
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  • 7. The accuracy of several pose estimation methods for 3D joint centre localisation.
    Needham L, Evans M, Cosker DP, Wade L, McGuigan PM, Bilzon JL, Colyer SL.
    Sci Rep; 2021 Oct 19; 11(1):20673. PubMed ID: 34667207
    [Abstract] [Full Text] [Related]

  • 8. Development of a Robust, Simple, and Affordable Human Gait Analysis System Using Bottom-Up Pose Estimation With a Smartphone Camera.
    Viswakumar A, Rajagopalan V, Ray T, Gottipati P, Parimi C.
    Front Physiol; 2021 Oct 19; 12():784865. PubMed ID: 35069246
    [Abstract] [Full Text] [Related]

  • 9. Two-dimensional video-based analysis of human gait using pose estimation.
    Stenum J, Rossi C, Roemmich RT.
    PLoS Comput Biol; 2021 Apr 19; 17(4):e1008935. PubMed ID: 33891585
    [Abstract] [Full Text] [Related]

  • 10. Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera.
    Ino T, Samukawa M, Ishida T, Wada N, Koshino Y, Kasahara S, Tohyama H.
    Sensors (Basel); 2023 Dec 13; 23(24):. PubMed ID: 38139644
    [Abstract] [Full Text] [Related]

  • 11. Verification of validity of gait analysis systems during treadmill walking and running using human pose tracking algorithm.
    Ota M, Tateuchi H, Hashiguchi T, Ichihashi N.
    Gait Posture; 2021 Mar 13; 85():290-297. PubMed ID: 33636458
    [Abstract] [Full Text] [Related]

  • 12. Markerless gait analysis through a single camera and computer vision.
    Wang H, Su B, Lu L, Jung S, Qing L, Xie Z, Xu X.
    J Biomech; 2024 Mar 13; 165():112027. PubMed ID: 38430608
    [Abstract] [Full Text] [Related]

  • 13. A novel dataset and deep learning-based approach for marker-less motion capture during gait.
    Vafadar S, Skalli W, Bonnet-Lebrun A, Khalifé M, Renaudin M, Hamza A, Gajny L.
    Gait Posture; 2021 May 13; 86():70-76. PubMed ID: 33711613
    [Abstract] [Full Text] [Related]

  • 14. Assessment of a novel deep learning-based marker-less motion capture system for gait study.
    Vafadar S, Skalli W, Bonnet-Lebrun A, Assi A, Gajny L.
    Gait Posture; 2022 May 13; 94():138-143. PubMed ID: 35306382
    [Abstract] [Full Text] [Related]

  • 15. Concurrent validity of smartphone-based markerless motion capturing to quantify lower-limb joint kinematics in healthy and pathological gait.
    Horsak B, Eichmann A, Lauer K, Prock K, Krondorfer P, Siragy T, Dumphart B.
    J Biomech; 2023 Oct 13; 159():111801. PubMed ID: 37738945
    [Abstract] [Full Text] [Related]

  • 16. American society of biomechanics early career achievement award 2020: Toward portable and modular biomechanics labs: How video and IMU fusion will change gait analysis.
    Halilaj E, Shin S, Rapp E, Xiang D.
    J Biomech; 2021 Dec 02; 129():110650. PubMed ID: 34644610
    [Abstract] [Full Text] [Related]

  • 17. Improving Gait Analysis Techniques with Markerless Pose Estimation Based on Smartphone Location.
    Yang J, Park K.
    Bioengineering (Basel); 2024 Jan 30; 11(2):. PubMed ID: 38391625
    [Abstract] [Full Text] [Related]

  • 18. Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras.
    Nakano N, Sakura T, Ueda K, Omura L, Kimura A, Iino Y, Fukashiro S, Yoshioka S.
    Front Sports Act Living; 2020 Jan 30; 2():50. PubMed ID: 33345042
    [Abstract] [Full Text] [Related]

  • 19. Automated Gait Analysis Based on a Marker-Free Pose Estimation Model.
    Hii CST, Gan KB, Zainal N, Mohamed Ibrahim N, Azmin S, Mat Desa SH, van de Warrenburg B, You HW.
    Sensors (Basel); 2023 Jul 18; 23(14):. PubMed ID: 37514783
    [Abstract] [Full Text] [Related]

  • 20. Dual-channel cascade pose estimation network trained on infrared thermal image and groundtruth annotation for real-time gait measurement.
    Zhu Y, Lu W, Zhang R, Wang R, Robbins D.
    Med Image Anal; 2022 Jul 18; 79():102435. PubMed ID: 35398606
    [Abstract] [Full Text] [Related]

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