BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

141 related articles for article (PubMed ID: 24187289)

  • 1. Development of a fuzzy logic based intelligent system for autonomous guidance of post-stroke rehabilitation exercise.
    Huq R; Wang R; Lu E; Hebert D; Lacheray H; Mihailidis A
    IEEE Int Conf Rehabil Robot; 2013 Jun; 2013():6650472. PubMed ID: 24187289
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Effector force requirements to enable robotic systems to provide assisted exercise in people with upper limb impairment after stroke.
    Jackson AE; Culmer PR; Levesley MC; Cozens JA; Makower SG; Bhakta BB
    IEEE Int Conf Rehabil Robot; 2011; 2011():5975391. PubMed ID: 22275595
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A haptic-robotic platform for upper-limb reaching stroke therapy: preliminary design and evaluation results.
    Lam P; Hebert D; Boger J; Lacheray H; Gardner D; Apkarian J; Mihailidis A
    J Neuroeng Rehabil; 2008 May; 5():15. PubMed ID: 18498641
    [TBL] [Abstract][Full Text] [Related]  

  • 4. RUPERT closed loop control design.
    Balasubramanian S; Wei R; He J
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3467-70. PubMed ID: 19163455
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development of a biological signal-based evaluator for robot-assisted upper-limb rehabilitation: a pilot study.
    Sheng B; Tang L; Moosman OM; Deng C; Xie S; Zhang Y
    Australas Phys Eng Sci Med; 2019 Sep; 42(3):789-801. PubMed ID: 31372900
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fuzzy control of a hand rehabilitation robot to optimize the exercise speed in passive working mode.
    Baniasad MA; Akbar M; Alasty A; Farahmand F
    Stud Health Technol Inform; 2011; 163():39-43. PubMed ID: 21335755
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Design and control of RUPERT: a device for robotic upper extremity repetitive therapy.
    Sugar TG; He J; Koeneman EJ; Koeneman JB; Herman R; Huang H; Schultz RS; Herring DE; Wanberg J; Balasubramanian S; Swenson P; Ward JA
    IEEE Trans Neural Syst Rehabil Eng; 2007 Sep; 15(3):336-46. PubMed ID: 17894266
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A damper driven robotic end-point manipulator for functional rehabilitation exercises after stroke.
    Westerveld AJ; Aalderink BJ; Hagedoorn W; Buijze M; Schouten AC; Kooij Hv
    IEEE Trans Biomed Eng; 2014 Oct; 61(10):2646-54. PubMed ID: 24860023
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automating arm movement training following severe stroke: functional exercises with quantitative feedback in a gravity-reduced environment.
    Sanchez RJ; Liu J; Rao S; Shah P; Smith R; Rahman T; Cramer SC; Bobrow JE; Reinkensmeyer DJ
    IEEE Trans Neural Syst Rehabil Eng; 2006 Sep; 14(3):378-89. PubMed ID: 17009498
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Randomized trial of a robotic assistive device for the upper extremity during early inpatient stroke rehabilitation.
    Masiero S; Armani M; Ferlini G; Rosati G; Rossi A
    Neurorehabil Neural Repair; 2014 May; 28(4):377-86. PubMed ID: 24316679
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A dynamic neuro-fuzzy model providing bio-state estimation and prognosis prediction for wearable intelligent assistants.
    Wang Y; Winters JM
    J Neuroeng Rehabil; 2005 Jun; 2():15. PubMed ID: 15985181
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effects of arm training with the robotic device ARMin I in chronic stroke: three single cases.
    Nef T; Quinter G; Müller R; Riener R
    Neurodegener Dis; 2009; 6(5-6):240-51. PubMed ID: 19940461
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A randomized controlled trial of gravity-supported, computer-enhanced arm exercise for individuals with severe hemiparesis.
    Housman SJ; Scott KM; Reinkensmeyer DJ
    Neurorehabil Neural Repair; 2009 Jun; 23(5):505-14. PubMed ID: 19237734
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Socially assistive robotics for post-stroke rehabilitation.
    Matarić MJ; Eriksson J; Feil-Seifer DJ; Winstein CJ
    J Neuroeng Rehabil; 2007 Feb; 4():5. PubMed ID: 17309795
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Robotic unilateral and bilateral upper-limb movement training for stroke survivors afflicted by chronic hemiparesis.
    Simkins M; Kim H; Abrams G; Byl N; Rosen J
    IEEE Int Conf Rehabil Robot; 2013 Jun; 2013():6650506. PubMed ID: 24187321
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A proof of concept study investigating the feasibility of combining iPAM robot assisted rehabilitation with functional electrical stimulation to deliver whole arm exercise in stroke survivors.
    O'Connor RJ; Jackson A; Makower SG; Cozens A; Levesley M
    J Med Eng Technol; 2014; 39(7):411-8. PubMed ID: 26414146
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Mechanisms of motor recovery in chronic and subacute stroke patients following a robot-aided training.
    Mazzoleni S; Puzzolante L; Zollo L; Dario P; Posteraro F
    IEEE Trans Haptics; 2014; 7(2):175-80. PubMed ID: 24968381
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Kinematic data analysis for post-stroke patients following bilateral versus unilateral rehabilitation with an upper limb wearable robotic system.
    Kim H; Miller LM; Fedulow I; Simkins M; Abrams GM; Byl N; Rosen J
    IEEE Trans Neural Syst Rehabil Eng; 2013 Mar; 21(2):153-64. PubMed ID: 22855233
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Tracking motor improvement at the subtask level during robot-aided neurorehabilitation of stroke patients.
    Panarese A; Colombo R; Sterpi I; Pisano F; Micera S
    Neurorehabil Neural Repair; 2012 Sep; 26(7):822-33. PubMed ID: 22374174
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.