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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

377 related items for PubMed ID: 32195243

  • 21. 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
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  • 23. 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
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  • 25. 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
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  • 26. Concurrent validity and reliability of a low-cost gait analysis system for assessment of spatiotemporal gait parameters.
    van Bloemendaal M, Beelen A, Kleissen RFM, Geurts AC, Nollet F, Bus SA.
    J Rehabil Med; 2019 Jun 18; 51(6):456-463. PubMed ID: 31073618
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  • 27. Automated Implementation of the Edinburgh Visual Gait Score (EVGS) Using OpenPose and Handheld Smartphone Video.
    Ramesh SH, Lemaire ED, Tu A, Cheung K, Baddour N.
    Sensors (Basel); 2023 May 17; 23(10):. PubMed ID: 37430751
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  • 28. Accuracy of a 3D temporal scanning system for gait analysis: Comparative with a marker-based photogrammetry system.
    Ruescas Nicolau AV, De Rosario H, Basso Della-Vedova F, Parrilla Bernabé E, Juan MC, López-Pascual J.
    Gait Posture; 2022 Sep 17; 97():28-34. PubMed ID: 35868094
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  • 30. Gait data from 51 healthy participants with motion capture, inertial measurement units, and computer vision.
    Lavikainen J, Vartiainen P, Stenroth L, Karjalainen PA, Korhonen RK, Liukkonen MK, Mononen ME.
    Data Brief; 2024 Oct 17; 56():110841. PubMed ID: 39257685
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  • 33. The Toronto older adults gait archive: video and 3D inertial motion capture data of older adults' walking.
    Mehdizadeh S, Nabavi H, Sabo A, Arora T, Iaboni A, Taati B.
    Sci Data; 2022 Jul 11; 9(1):398. PubMed ID: 35817777
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  • 34. Extraction of canine gait characteristics using a mobile gait analysis system based on inertial measurement units.
    Altermatt M, Kalt D, Blättler P, Schkommodau E.
    Vet Anim Sci; 2023 Sep 11; 21():100301. PubMed ID: 37333505
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  • 35. Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: proof of concept.
    Ceseracciu E, Sawacha Z, Cobelli C.
    PLoS One; 2014 Sep 11; 9(3):e87640. PubMed ID: 24595273
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  • 37. Towards understanding spatio-temporal parkinsonian patterns from salient regions of a 3D convolutional network.
    Guayacan LC, Rangel E, Martinez F.
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul 11; 2020():3688-3691. PubMed ID: 33018801
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  • 38. 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 11; 165():112027. PubMed ID: 38430608
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  • 39. 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 11; 225():107016. PubMed ID: 35907374
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  • 40. Simultaneous identification of human body model parameters and gait trajectory from 3D motion capture data.
    Ziegler J, Reiter A, Gattringer H, Müller A.
    Med Eng Phys; 2020 Oct 11; 84():193-202. PubMed ID: 32977918
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