140 related articles for article (PubMed ID: 22471649)
21. Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot.
Mancisidor A; Zubizarreta A; Cabanes I; Bengoa P; Jung JH
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():561-566. PubMed ID: 28813879
[TBL] [Abstract][Full Text] [Related]
22. Patient-Centered Robot-Aided Passive Neurorehabilitation Exercise Based on Safety-Motion Decision-Making Mechanism.
Pan L; Song A; Duan S; Yu Z
Biomed Res Int; 2017; 2017():4185939. PubMed ID: 28194413
[TBL] [Abstract][Full Text] [Related]
23. Post-stroke robotic training of the upper limb in the early rehabilitation phase.
Masiero S; Rosati G; Valarini S; Rossi A
Funct Neurol; 2009; 24(4):203-6. PubMed ID: 20412726
[TBL] [Abstract][Full Text] [Related]
24. Efficacy and task structure of bimanual training post stroke: a systematic review.
Wolf A; Scheiderer R; Napolitan N; Belden C; Shaub L; Whitford M
Top Stroke Rehabil; 2014; 21(3):181-96. PubMed ID: 24985386
[TBL] [Abstract][Full Text] [Related]
25. Bilateral robots for upper-limb stroke rehabilitation: State of the art and future prospects.
Sheng B; Zhang Y; Meng W; Deng C; Xie S
Med Eng Phys; 2016 Jul; 38(7):587-606. PubMed ID: 27117423
[TBL] [Abstract][Full Text] [Related]
26. 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; 23(6):1319-26. PubMed ID: 24468068
[TBL] [Abstract][Full Text] [Related]
27. Impact of visual error augmentation when integrated with assist-as-needed training method in robot-assisted rehabilitation.
Wang F; Barkana DE; Sarkar N
IEEE Trans Neural Syst Rehabil Eng; 2010 Oct; 18(5):571-9. PubMed ID: 20639181
[TBL] [Abstract][Full Text] [Related]
28. Influence of complementing a robotic upper limb rehabilitation system with video games on the engagement of the participants: a study focusing on muscle activities.
Li C; Rusák Z; Horváth I; Ji L
Int J Rehabil Res; 2014 Dec; 37(4):334-42. PubMed ID: 25221845
[TBL] [Abstract][Full Text] [Related]
29. Arm stiffness during assisted movement after stroke: the influence of visual feedback and training.
Piovesan D; Morasso P; Giannoni P; Casadio M
IEEE Trans Neural Syst Rehabil Eng; 2013 May; 21(3):454-65. PubMed ID: 23193322
[TBL] [Abstract][Full Text] [Related]
30. Effects of robot-guided passive stretching and active movement training of ankle and mobility impairments in stroke.
Waldman G; Yang CY; Ren Y; Liu L; Guo X; Harvey RL; Roth EJ; Zhang LQ
NeuroRehabilitation; 2013; 32(3):625-34. PubMed ID: 23648617
[TBL] [Abstract][Full Text] [Related]
31. A comparison between electromyography-driven robot and passive motion device on wrist rehabilitation for chronic stroke.
Hu XL; Tong KY; Song R; Zheng XJ; Leung WW
Neurorehabil Neural Repair; 2009 Oct; 23(8):837-46. PubMed ID: 19531605
[TBL] [Abstract][Full Text] [Related]
32. Development, Dynamic Modeling, and Multi-Modal Control of a Therapeutic Exoskeleton for Upper Limb Rehabilitation Training.
Wu Q; Wu H
Sensors (Basel); 2018 Oct; 18(11):. PubMed ID: 30356005
[TBL] [Abstract][Full Text] [Related]
33. Bilateral priming accelerates recovery of upper limb function after stroke: a randomized controlled trial.
Stinear CM; Petoe MA; Anwar S; Barber PA; Byblow WD
Stroke; 2014 Jan; 45(1):205-10. PubMed ID: 24178916
[TBL] [Abstract][Full Text] [Related]
34. Evaluation of upper limb sense of position in healthy individuals and patients after stroke.
Cusmano I; Sterpi I; Mazzone A; Ramat S; Delconte C; Pisano F; Colombo R
J Healthc Eng; 2014; 5(2):145-62. PubMed ID: 24918181
[TBL] [Abstract][Full Text] [Related]
35. Performance-Based Hybrid Control of a Cable-Driven Upper-Limb Rehabilitation Robot.
Li X; Yang Q; Song R
IEEE Trans Biomed Eng; 2021 Apr; 68(4):1351-1359. PubMed ID: 32997619
[TBL] [Abstract][Full Text] [Related]
36. Use of a robotic device for the rehabilitation of severe upper limb paresis in subacute stroke: exploration of patient/robot interactions and the motor recovery process.
Duret C; Courtial O; Grosmaire AG; Hutin E
Biomed Res Int; 2015; 2015():482389. PubMed ID: 25821804
[TBL] [Abstract][Full Text] [Related]
37. Bimanual elbow robotic orthoses: preliminary investigations on an impairment force-feedback rehabilitation method.
Herrnstadt G; Alavi N; Randhawa BK; Boyd LA; Menon C
Front Hum Neurosci; 2015; 9():169. PubMed ID: 25870555
[TBL] [Abstract][Full Text] [Related]
38. Nonlinear disturbance observer based sliding mode control of a cable-driven rehabilitation robot.
Niu J; Yang Q; Chen G; Song R
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():664-669. PubMed ID: 28813896
[TBL] [Abstract][Full Text] [Related]
39. [ARMOR: an electromechanical robot for upper limb training following stroke. A prospective randomised controlled pilot study].
Mayr A; Kofler M; Saltuari L
Handchir Mikrochir Plast Chir; 2008 Feb; 40(1):66-73. PubMed ID: 18322901
[TBL] [Abstract][Full Text] [Related]
40. Upper limb robot-assisted therapy in chronic and subacute stroke patients: a kinematic analysis.
Mazzoleni S; Sale P; Tiboni M; Franceschini M; Carrozza MC; Posteraro F
Am J Phys Med Rehabil; 2013 Oct; 92(10 Suppl 2):e26-37. PubMed ID: 24052027
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
