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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

278 related items for PubMed ID: 29610656

  • 1. Noninvasive Estimation of Joint Moments with Inertial Sensor System for Analysis of STS Rehabilitation Training.
    Liu K, Yan J, Liu Y, Ye M.
    J Healthc Eng; 2018; 2018():6570617. PubMed ID: 29610656
    [Abstract] [Full Text] [Related]

  • 2. Consistent accuracy in whole-body joint kinetics during gait using wearable inertial motion sensors and in-shoe pressure sensors.
    Khurelbaatar T, Kim K, Lee S, Kim YH.
    Gait Posture; 2015 Jun; 42(1):65-9. PubMed ID: 25957652
    [Abstract] [Full Text] [Related]

  • 3. Ambulatory estimation of knee-joint kinematics in anatomical coordinate system using accelerometers and magnetometers.
    Kun L, Inoue Y, Shibata K, Enguo C.
    IEEE Trans Biomed Eng; 2011 Feb; 58(2):435-42. PubMed ID: 21257363
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  • 6. Interactive wearable systems for upper body rehabilitation: a systematic review.
    Wang Q, Markopoulos P, Yu B, Chen W, Timmermans A.
    J Neuroeng Rehabil; 2017 Mar 11; 14(1):20. PubMed ID: 28284228
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  • 8. Computation of the kinematics and the minimum peak joint moments of sit-to-stand movements.
    Yoshioka S, Nagano A, Himeno R, Fukashiro S.
    Biomed Eng Online; 2007 Jul 03; 6():26. PubMed ID: 17608922
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  • 9. Estimation of ground reaction forces and ankle moment with multiple, low-cost sensors.
    Jacobs DA, Ferris DP.
    J Neuroeng Rehabil; 2015 Oct 14; 12():90. PubMed ID: 26467753
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  • 15. Online tracking of the lower body joint angles using IMUs for gait rehabilitation.
    Joukov V, Karg M, Kulic D.
    Annu Int Conf IEEE Eng Med Biol Soc; 2014 Oct 14; 2014():2310-3. PubMed ID: 25570450
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  • 18. Use of wearable technology for performance assessment: a validation study.
    Papi E, Osei-Kuffour D, Chen YM, McGregor AH.
    Med Eng Phys; 2015 Jul 14; 37(7):698-704. PubMed ID: 25937613
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