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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

283 related items for PubMed ID: 36759681

  • 1. Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment.
    Donahue SR, Hahn ME.
    Sci Rep; 2023 Feb 09; 13(1):2339. PubMed ID: 36759681
    [Abstract] [Full Text] [Related]

  • 2. Estimation of ground reaction force waveforms during fixed pace running outside the laboratory.
    Donahue SR, Hahn ME.
    Front Sports Act Living; 2023 Feb 09; 5():974186. PubMed ID: 36860734
    [Abstract] [Full Text] [Related]

  • 3. Validation of Running Gait Event Detection Algorithms in a Semi-Uncontrolled Environment.
    Donahue SR, Hahn ME.
    Sensors (Basel); 2022 Apr 30; 22(9):. PubMed ID: 35591141
    [Abstract] [Full Text] [Related]

  • 4. Consumer-priced wearable sensors combined with deep learning can be used to accurately predict ground reaction forces during various treadmill running conditions.
    Carter J, Chen X, Cazzola D, Trewartha G, Preatoni E.
    PeerJ; 2024 Apr 30; 12():e17896. PubMed ID: 39221284
    [Abstract] [Full Text] [Related]

  • 5. Combining wearable sensor signals, machine learning and biomechanics to estimate tibial bone force and damage during running.
    Matijevich ES, Scott LR, Volgyesi P, Derry KH, Zelik KE.
    Hum Mov Sci; 2020 Dec 30; 74():102690. PubMed ID: 33132194
    [Abstract] [Full Text] [Related]

  • 6. Influence of IMU position and orientation placement errors on ground reaction force estimation.
    Tan T, Chiasson DP, Hu H, Shull PB.
    J Biomech; 2019 Dec 03; 97():109416. PubMed ID: 31630774
    [Abstract] [Full Text] [Related]

  • 7. Indirect measurement of anterior-posterior ground reaction forces using a minimal set of wearable inertial sensors: from healthy to hemiparetic walking.
    Revi DA, Alvarez AM, Walsh CJ, De Rossi SMM, Awad LN.
    J Neuroeng Rehabil; 2020 Jun 29; 17(1):82. PubMed ID: 32600348
    [Abstract] [Full Text] [Related]

  • 8. Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution.
    Alcantara RS, Edwards WB, Millet GY, Grabowski AM.
    PeerJ; 2022 Jun 29; 10():e12752. PubMed ID: 35036107
    [Abstract] [Full Text] [Related]

  • 9. Dynamically adjustable foot-ground contact model to estimate ground reaction force during walking and running.
    Jung Y, Jung M, Ryu J, Yoon S, Park SK, Koo S.
    Gait Posture; 2016 Mar 29; 45():62-8. PubMed ID: 26979885
    [Abstract] [Full Text] [Related]

  • 10. Three-dimensional GRF and CoP Estimation during Stair and Slope Ascent/Descent with Wearable IMUs and Foot Pressure Sensors.
    Fukushi K, Sekiguchi Y, Honda K, Yaguchi H, Izumi SI.
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul 29; 2019():6401-6404. PubMed ID: 31947307
    [Abstract] [Full Text] [Related]

  • 11. Estimation of Three-Dimensional Lower Limb Kinetics Data during Walking Using Machine Learning from a Single IMU Attached to the Sacrum.
    Lee M, Park S.
    Sensors (Basel); 2020 Nov 04; 20(21):. PubMed ID: 33158140
    [Abstract] [Full Text] [Related]

  • 12. Estimation of Foot Trajectory and Stride Length during Level Ground Running Using Foot-Mounted Inertial Measurement Units.
    Suzuki Y, Hahn ME, Enomoto Y.
    Sensors (Basel); 2022 Sep 20; 22(19):. PubMed ID: 36236228
    [Abstract] [Full Text] [Related]

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  • 14. A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors.
    Guo Y, Storm F, Zhao Y, Billings SA, Pavic A, Mazzà C, Guo LZ.
    Sensors (Basel); 2017 Sep 22; 17(10):. PubMed ID: 28937593
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  • 16. Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models.
    Zhang H, Guo Y, Zanotto D.
    IEEE Trans Neural Syst Rehabil Eng; 2020 Jan 22; 28(1):191-202. PubMed ID: 31831428
    [Abstract] [Full Text] [Related]

  • 17. Characterizing Bodyweight-Supported Treadmill Walking on Land and Underwater Using Foot-Worn Inertial Measurement Units and Machine Learning for Gait Event Detection.
    Song S, Fernandes NJ, Nordin AD.
    Sensors (Basel); 2023 Sep 17; 23(18):. PubMed ID: 37766002
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