Single limb cable driven wearable robotic device for upper extremity movement support after traumatic brain injury

1. U.S Department of Health and Human Service , Center for Disease Prevention and Control, TBI: Get the Facts, https://www.cdc.gov/traumaticbraininjury/get_the_facts.html (2019, accessed 7 February 2021).
Google Scholar2. Selassie, AW, Zaloshnja, E, Langlois, JA, et al. Incidence of long-term disability following traumatic brain injury hospitalization, United States, 2003. J Head Trauma Rehabil 2008; 23: 123–131.
Google Scholar | Crossref | Medline | ISI3. Thurman, DJ, Alverson, C, Dunn, KA, et al. Traumatic brain injury in the United States: a public health perspective. J Head Trauma Rehabil 1999; 14: 602–615.
Google Scholar | Crossref | Medline | ISI4. Zaloshnja, E, Miller, T, Langlois, JA, et al. Prevalence of long-term disability from traumatic brain injury in the civilian population of the United States, 2005. J Head Trauma Rehabil 2008; 23: 394–400.
Google Scholar | Crossref | Medline | ISI5. Faul, M, Xu, L, Wald, MM, et al. Traumatic brain injury in the United States: emergency department visits, hospitalizations, and deaths 2002–2006. Atlanta: Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, 2010.
Google Scholar | Crossref6. Cuthbert, JP, Harrison-Felix, C, Corrigan, JD, et al. Unemployment in the United States after traumatic brain injury for working-age individuals: prevalence and associated factors 2 years postinjury. J Head Trauma Rehabil 2015; 30: 160–174.
Google Scholar | Crossref | Medline7. Gordon, WA, Mann, N, Willer, B. Demographic and social characteristics of the traumatic brain injury model system database. J Head Trauma Rehabil 2000; 8: 26–33.
Google Scholar | Crossref8. Hillier, SL, Sharpe, MH, Metzer, J. Outcomes 5 years post traumatic brain injury (with further reference to neurophysical impairment and disability). Brain Inj 1997; 9: 661–675.
Google Scholar9. Hubbard, IJ, Parsons, MW, Neilson, C, et al. Task‐specific training: evidence for and translation to clinical practice. Occup Ther Int 2009; 16: 175–189.
Google Scholar | Crossref | Medline | ISI10. Shaw, SE, Morris, DM, Uswatte, G, et al. Constraint-induced movement therapy for recovery of upper-limb function following traumatic brain injury. J Rehabil Res Dev 2005; 42: 769–778.
Google Scholar | Crossref | Medline11. Lo, AC, Guarino, PD, Richards, LG, et al. Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med 2010; 362: 1772–1783.
Google Scholar | Crossref | Medline | ISI12. Zariffa, J, Kapadia, N, Kramer, JL, et al. Feasibility and efficacy of upper limb robotic rehabilitation in a subacute cervical spinal cord injury population. Spinal Cord 2012; 50: 220–226.
Google Scholar | Crossref | Medline | ISI13. Mehrholz, J, Pohl, M, Platz, T, et al. Electromechanical and robot‐assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. Cochrane Database Syst Rev 2018; 2018.
Google Scholar14. Kim, B, Deshpande, AD. An upper-body rehabilitation exoskeleton harmony with an anatomical shoulder mechanism: design, modeling, control, and performance evaluation. Int J Robot Res 2017; 36: 414–435.
Google Scholar | SAGE Journals | ISI15. Popov, D, Gaponov, I, Ryu, JH. Portable exoskeleton glove with soft structure for hand assistance in activities of daily living. IEEE/ASME Trans Mechatron 2017; 22: 865–875.
Google Scholar | Crossref16. In, H, Kang, BB, Sin, M, et al. Exo-glove: a wearable robot for the hand with a soft tendon routing system. IEEE Robot Automat Mag 2015; 22: 97–105.
Google Scholar | Crossref | ISI17. Rose, CG, O'Malley, MK. Hybrid rigid-soft hand exoskeleton to assist functional dexterity. IEEE Robot Autom Lett 2019; 4: 73–80.
Google Scholar | Crossref18. Hosseini, M, Meattini, R, San-Millan, A, et al. A sEMG-driven soft exoSuit based on twisted string actuators for elbow assistive applications. IEEE Robot Autom Lett 2020; 5: 4094–4101.
Google Scholar | Crossref19. Lotti, N, Xiloyannis, M, Durandau, G, et al. Adaptive model-based myoelectric control for a soft wearable arm exosuit: a new generation of wearable robot control. IEEE Robot Automat Mag 2020; 27: 43–53.
Google Scholar | Crossref20. Xiloyannis, M, Chiaradia, D, Frisoli, A, et al. Physiological and kinematic effects of a soft exosuit on arm movements. J Neuroeng Rehabil 2019; 16: 29–15.
Google Scholar | Crossref | Medline21. Xiloyannis, M, Annese, E, Canesi, M, et al. Design and validation of a modular one-to-many actuator for a soft wearable exosuit. Front Neurorobot 2019; 13: 39.
Google Scholar | Crossref | Medline22. Galiana, I, Hammond, FL, Howe, RD, et al. Wearable soft robotic device for post-stroke shoulder rehabilitation identifying misalignments. In: Intelligent robots and systems IEEE/RSJ international conference, Vilamoura, Portugal, 7–12 October 2012, pp.317–322.
Google Scholar23. Gaponov, I, Popov, D, Lee, SJ, et al. Auxilio: a portable cable-driven exosuit for upper extremity assistance. Int J Control Autom Syst 2017; 15: 73–84.
Google Scholar | Crossref24. Li, N, Yang, T, Yu, P, et al. Bio-inspired upper limb soft exoskeleton to reduce stroke-induced complications. Bioinspir Biomim 2018; 13: 066001.
Google Scholar | Crossref | Medline25. Wagner, TH, Lo, AC, Peduzzi, P, et al. An economic analysis of robot-assisted therapy for long-term upper-limb impairment after stroke. Stroke 2011; 42: 2630–2632.
Google Scholar | Crossref | Medline26. Lessard, S, Pansodtee, P, Robbins, A, et al. CRUX: a compliant robotic upper-extremity eXosuit for lightweight, portable, multi-joint muscular augmentation. In: IEEE international conference on rehabilitation robotics, 17–20 July 2017, pp. 1633–1638.
Google Scholar27. Houwink, A, Nijland, RH, Geurts, AC, et al. Functional recovery of the paretic upper limb after stroke: who regains hand capacity? Arch Phys Med Rehabil 2013; 94: 839–844.
Google Scholar | Crossref | Medline | ISI28. Lee, J, Lovan, A, Rovekamp, R. Tendon actuator unit. Patent US 9,983,071, USA, 29 May 2018.
Google Scholar29. Kadivar, Z, Beck, CE, Rovekamp, RN, et al. On the efficacy of isolating shoulder and elbow movements with a soft, portable, and wearable robotic device. In: González-Vargas, J, Ibáñez, J, Contreras-Vidal, J, et al. (eds) Wearable robotics: challenges and trends. New York: Springer International Publishing, 2017, pp.89–93.
Google Scholar | Crossref30. Academy of Neurologic Physical Therapy, Practice Resources , https://www.neuropt.org/practice-resources/neurology-section-outcome-measures-recommendations/traumatic-brain-injury (accessed 7 February 2021).
Google Scholar31. Song, R, Tong, KY, Hu, X, et al. Assistive control system using continuous myoelectric signal in robot-aided arm training for patients after stroke. IEEE Trans Neural Syst Rehabil Eng 2008; 16: 371–379.
Google Scholar | Crossref | Medline32. Holden, MK, Dyar, TA, Schwamm, L, et al. Virtual-environment-based telerehabilitation in patients with stroke. Presence (Camb) 2005; 14: 214–233.
Google Scholar | Crossref33. Brunnström, S. Movement therapy in hemiplegia: a neurophysiological approach. Facts and comparisons. New York: Harper & Row, 1970.
Google Scholar

留言 (0)

沒有登入
gif