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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

266 related items for PubMed ID: 16937199

  • 21. Development of a powered variable-stiffness exoskeleton device for elbow rehabilitation.
    Liu Y, Guo S, Hirata H, Ishihara H, Tamiya T.
    Biomed Microdevices; 2018 Aug 03; 20(3):64. PubMed ID: 30074095
    [Abstract] [Full Text] [Related]

  • 22. Plasticity in cortical motor upper-limb representation following stroke and rehabilitation: two longitudinal multi-joint FMRI case-studies.
    Stark A, Meiner Z, Lefkovitz R, Levin N.
    Brain Topogr; 2012 Apr 03; 25(2):205-19. PubMed ID: 21928100
    [Abstract] [Full Text] [Related]

  • 23. The use of kinematic and parametric information to highlight lack of movement and compensation in the upper extremities during activities of daily living.
    Murgia A, Kyberd P, Barnhill T.
    Gait Posture; 2010 Mar 03; 31(3):300-6. PubMed ID: 20034798
    [Abstract] [Full Text] [Related]

  • 24. Development of network-based multichannel neuromuscular electrical stimulation system for stroke rehabilitation.
    Qu H, Xie Y, Liu X, He X, Hao M, Bao Y, Xie Q, Lan N.
    J Rehabil Res Dev; 2016 Mar 03; 52(3):263-78. PubMed ID: 27149687
    [Abstract] [Full Text] [Related]

  • 25. Inertial Sensing Based Assessment Methods to Quantify the Effectiveness of Post-Stroke Rehabilitation.
    Li HT, Huang JJ, Pan CW, Chi HI, Pan MC.
    Sensors (Basel); 2015 Jul 06; 15(7):16196-209. PubMed ID: 26153769
    [Abstract] [Full Text] [Related]

  • 26. Upper-limb kinematic reconstruction during stroke robot-aided therapy.
    Papaleo E, Zollo L, Garcia-Aracil N, Badesa FJ, Morales R, Mazzoleni S, Sterzi S, Guglielmelli E.
    Med Biol Eng Comput; 2015 Sep 06; 53(9):815-28. PubMed ID: 25861746
    [Abstract] [Full Text] [Related]

  • 27. A new way of assessing arm function in activity using kinematic Exposure Variation Analysis and portable inertial sensors--A validity study.
    Ertzgaard P, Öhberg F, Gerdle B, Grip H.
    Man Ther; 2016 Feb 06; 21():241-9. PubMed ID: 26456185
    [Abstract] [Full Text] [Related]

  • 28. Prevalence and determinants of pain in the ipsilateral upper limb of stroke patients.
    Kwon YH, Kwon JW, Lee NK, Kang KW, Son SM.
    Percept Mot Skills; 2014 Dec 06; 119(3):799-810. PubMed ID: 25387036
    [Abstract] [Full Text] [Related]

  • 29. The effects of electromechanical wrist robot assistive system with neuromuscular electrical stimulation for stroke rehabilitation.
    Hu XL, Tong KY, Li R, Xue JJ, Ho SK, Chen P.
    J Electromyogr Kinesiol; 2012 Jun 06; 22(3):431-9. PubMed ID: 22277205
    [Abstract] [Full Text] [Related]

  • 30. Impact of time on quality of motor control of the paretic upper limb after stroke.
    van Kordelaar J, van Wegen E, Kwakkel G.
    Arch Phys Med Rehabil; 2014 Feb 06; 95(2):338-44. PubMed ID: 24161273
    [Abstract] [Full Text] [Related]

  • 31. Asymmetric training using virtual reality reflection equipment and the enhancement of upper limb function in stroke patients: a randomized controlled trial.
    Lee D, Lee M, Lee K, Song C.
    J Stroke Cerebrovasc Dis; 2014 Jul 06; 23(6):1319-26. PubMed ID: 24468068
    [Abstract] [Full Text] [Related]

  • 32. Pilot study: Computer-based virtual anatomical interactivity for rehabilitation of individuals with chronic acquired brain injury.
    Simmons CD, Arthanat S, Macri VJ.
    J Rehabil Res Dev; 2014 Jul 06; 51(3):377-90. PubMed ID: 25019661
    [Abstract] [Full Text] [Related]

  • 33. An upper extremity kinematic model for evaluation of hemiparetic stroke.
    Hingtgen B, McGuire JR, Wang M, Harris GF.
    J Biomech; 2006 Jul 06; 39(4):681-8. PubMed ID: 16439237
    [Abstract] [Full Text] [Related]

  • 34. Drift-Free Joint Angle Calculation Using Inertial Measurement Units without Magnetometers: An Exploration of Sensor Fusion Methods for the Elbow and Wrist.
    Chen H, Schall MC, Martin SM, Fethke NB.
    Sensors (Basel); 2023 Aug 09; 23(16):. PubMed ID: 37631592
    [Abstract] [Full Text] [Related]

  • 35. Biomechanical contributions of the trunk and upper extremity in discrete versus cyclic reaching in survivors of stroke.
    Massie CL, Malcolm MP, Greene DP, Browning RC.
    Top Stroke Rehabil; 2014 Aug 09; 21(1):23-32. PubMed ID: 24521837
    [Abstract] [Full Text] [Related]

  • 36. Temporal structure of variability decreases in upper extremity movements post stroke.
    Sethi A, Patterson T, McGuirk T, Patten C, Richards LG, Stergiou N.
    Clin Biomech (Bristol); 2013 Feb 09; 28(2):134-9. PubMed ID: 23337766
    [Abstract] [Full Text] [Related]

  • 37. Upper limb joint angle measurement in occupational health.
    Álvarez D, Alvarez JC, González RC, López AM.
    Comput Methods Biomech Biomed Engin; 2016 Feb 09; 19(2):159-70. PubMed ID: 25573165
    [Abstract] [Full Text] [Related]

  • 38. Upper limb joint kinematics using wearable magnetic and inertial measurement units: an anatomical calibration procedure based on bony landmark identification.
    Picerno P, Caliandro P, Iacovelli C, Simbolotti C, Crabolu M, Pani D, Vannozzi G, Reale G, Rossini PM, Padua L, Cereatti A.
    Sci Rep; 2019 Oct 08; 9(1):14449. PubMed ID: 31594964
    [Abstract] [Full Text] [Related]

  • 39. Dynamic biomechanical model for assessing and monitoring robot-assisted upper-limb therapy.
    Abdullah HA, Tarry C, Datta R, Mittal GS, Abderrahim M.
    J Rehabil Res Dev; 2007 Oct 08; 44(1):43-62. PubMed ID: 17551857
    [Abstract] [Full Text] [Related]

  • 40. An Orthopaedic Robotic-Assisted Rehabilitation Method of the Forearm in Virtual Reality Physiotherapy.
    Padilla-Castañeda MA, Sotgiu E, Barsotti M, Frisoli A, Orsini P, Martiradonna A, Laddaga C, Bergamasco M.
    J Healthc Eng; 2018 Oct 08; 2018():7438609. PubMed ID: 30154992
    [Abstract] [Full Text] [Related]

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