A scoping review of design requirements for a home-based upper limb rehabilitation robot for stroke

References

• Murray CJ, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380(9859):2197–2223.
   PubMed Web of Science ®Google Scholar
• Murray CJ, Barber Rm, Foreman KJ, et al. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition. Lancet. 2015;386(10009):2145–2191.
   PubMed Web of Science ®Google Scholar
• Lozano R, Naghavi M, Foreman K, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380(9859):2095–2128. doi:https://doi.org/10.1016/S0140-6736(12)61728-0.
   PubMed Web of Science ®Google Scholar
• Warlow CP, Van Gijin J, Dennis MS, et al. Stroke: Practical Management. John Wiley & Sons; 2011.
   Google Scholar
• Kwakkel G, Kollen BJ, Wagenaar RC. Therapy impact on functional recovery in stroke rehabilitation: a critical review of the literature. Physiotherapy. 1999;85(7):377–391. doi:https://doi.org/10.1016/S0031-9406(05)67198-2.
   Google Scholar
• Langhorne P, Bernhardt J, Kwakkel G. Stroke rehabilitation. Lancet. 2011;377(9778):1693–1702. doi:https://doi.org/10.1016/S0140-6736(11)60325-5.
   PubMed Web of Science ®Google Scholar
• Langhorne P, Coupar F, Pollock A. Motor recovery after stroke: a systematic review. Lancet Neurol. 2009;8(8):741–754. doi:https://doi.org/10.1016/S1474-4422(09)70150-4.
   PubMed Web of Science ®Google Scholar
• Veerbeek JM, Langbroek-Amersfoort AC, Van Wegen EE, Kwakkel G. Effects of robot-assisted therapy for the upper limb after stroke: a systematic review and meta-analysis. Neurorehabil Neural Repair. 2017;31(2):107–121. doi:https://doi.org/10.1177/1545968316666957.
   PubMed Web of Science ®Google Scholar
• Lohse KR, Hilderman CG, Cheung KL, Tatla S, Van der Loos HM. Virtual reality therapy for adults post-stroke: a systematic review and meta-analysis exploring virtual environments and commercial games in therapy. PloS One. 2014;9(3):e93318. doi:https://doi.org/10.1371/journal.pone.0093318.
   PubMed Web of Science ®Google Scholar
• Veerbeek JM, van Wegen E, van Peppen R, et al. What is the evidence for physical therapy poststroke? A systematic review and meta-analysis. PloS One. 2014;9(2):e87987.
   PubMed Web of Science ®Google Scholar
• Mehrholz J, Pohl M, Platz T, Kugler J, Elsner B. Electromechanical and robot‐assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. Cochrane Database of Systematic Reviews. 2018(9).
   Google Scholar
• Gassert R,Dietz V. Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective. Journal of Neuroengineering and Rehabilitation. 2018;15(1):46.
   Google Scholar
• Krebs HI, Hogan N, Aisen ML, Volpe BT. Robot-aided neurorehabilitation. IEEE Trans Rehabil Eng. 1998;6(1):75–87. doi:https://doi.org/10.1109/86.662623.
   PubMedGoogle Scholar
• Johnson MJ, Wisneski KJ, Anderson J, Nathan D, Smith RO. Development of ADLER: the activities of daily living exercise robot. The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006. 2006. IEEE.
   Google Scholar
• Burgar CG, Lum PS, Shor PC, Van der Loos HM. Development of robots for rehabilitation therapy: the Palo Alto VA/Stanford experience. Journal of rehabilitation research development. 2000;37(6):663–674.
   Google Scholar
• Maciejasz P, Eschweiler J, Gerlach-Hahn K, Jansen-Troy A, Leonhardt S. A survey on robotic devices for upper limb rehabilitation. Journal of Neuroengineering and Rehabiltation. 2014;11(1):3. doi:https://doi.org/10.1186/1743-0003-11-3.
   PubMed Web of Science ®Google Scholar
• Rodgers H, Bosomworth H, Krebs HI, et al. Robot-assisted Training Compared with an Enhanced Upper Limb Therapy Programme and with Usual Care for Upper Limb Functional Limitation after Stroke: The RATULS Three-group RCT. Health technology assessment (Winchester, England). 2020; 24(54):1-232.
   Google Scholar
• Lo AC, Guarino PD, Richards LG, Haselkorn JK, Wittenberg GF, Federman DG. Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med. 2010;362(19):1772–1783. doi:https://doi.org/10.1056/NEJMoa0911341.
   PubMed Web of Science ®Google Scholar
• Sentinel Stroke National Audit Programme Annual report 2020, Intercollegiate Stroke Working Party Sentinel Stroke National Audit Programme (SSNAP).
   Google Scholar
• Sulzer JS, Peshkin MA, Patton JL. Design of a mobile, inexpensive device for upper extremity rehabilitation at home. 2007 IEEE 10th International Conference on Rehabilitation Robotics. 2007. IEEE.
   Google Scholar
• Ivanova E, Kruger J, Steingraber R, Schmid S, Schmidt H, Hesse S. Design and concept of a haptic robotic telerehabilitation system for upper limb movement training after stroke. 2015 IEEEInternational Conference on Rehabilitation Robotics(ICORR). 2015. IEEE.
   Google Scholar
• Sivan M, Gallagher J, Makower S, et al. Home-based Computer Assisted Arm Rehabilitation (hCAAR) robotic device for upper limb exercise after stroke: results of a feasibility study in home setting. J Neuroeng Rehabil. 2014;11(1):163. doi:https://doi.org/10.1186/1743-0003-11-163.
   PubMed Web of Science ®Google Scholar
• Hughes AM, Burridge JH, Demain SH, et al. Translation of evidence-based assistive technologies into stroke rehabilitation: users’ perceptions of the barriers and opportunities. BMC Health Services Research. 2014;14(1):124.
   Google Scholar
• Prange GB, Smulders LC, van Wijngaarden J, et al. User requirements for assistance of the supporting hand in bimanual daily activities via a robotic glove for severely affected stroke patients. 2015 IEEE International ConferenceonRehabilitation Robotics (ICORR). 2015. IEEE.
   Google Scholar
• van Ommeren AL, Smulder LC, Prange-Lasonder GB, Buurke JH, Veltink PH, Rietman JS. Assistive technology for the upper extremities after stroke: systematic review of users’ needs. JMIR Rehabil Assistive Technol. 2018;5(2):e10510. doi:https://doi.org/10.2196/10510.
   PubMedGoogle Scholar
• Hughes A-M, Burridge J, Freeman CT, et al. Stroke participants’ perceptions of robotic and electrical stimulation therapy: a new approach. Disabil Rehabil. 2011;6(2):130–138. doi:https://doi.org/10.3109/17483107.2010.509882.
   Google Scholar
• Shirzad N, Valdes BA, Hung CT, Law M, Hay J, Van der Loos HFM. FEATHERS, A Bimanual Upper Limb Rehabilitation Platform: A Case Study of User-centred Approach in Rehabilitation Device Design. Proceeding of the 20th International Conference on Engineering Design.2015.
   Google Scholar
• Popescu D, Manta F, Rusu L, Avramescu TE, Zavaleanu M. Upper limb rehabilitation robotic system requirements analysis. In: Ferraresi C, Quaglia G, eds. Advances in Service and Industrial Robotics. Vol49.2018:919-927.
   Google Scholar
• Prange GB, Smulders LC, van Wijingaarden J, et al., User requirements for assistance of the supporting hand in bimanual daily activities via a robotic glove for severely affected stroke patients. In: Yu HY, Braun D, Campolo D, eds. Proceedings of the Ieee/Ras-Embs International Conference on Rehabilitation Robotics. 2015:357–361.
   Google Scholar
• Rodriguez-de-pablo C,Perry JC, Cavallaro FI, Zabaleta H, Keller T, Ieee. Development of computer games for assessment and training in post-stroke arm telerehabilitation. 2012 Annual International Conference of the Ieee Engineering in Medicine and Biology Society. 2012:4571–4574.
   Google Scholar
• Hochstenbach-Waelen A, Seelen HA. Embracing change: practical and theoretical considerations for successful implementation of technology assisting upper limb training in stroke. J Neuroeng Rehabil. 2012;9(1):52. doi:https://doi.org/10.1186/1743-0003-9-52.
   PubMedGoogle Scholar
• Lu EC, Wang RH, Hebert D, Boger J, Galea MP, Mihailidis A. The development of an upper limb stroke rehabilitation robot: identification of clinical practices and design requirements through a survey of therapists. Disability and Rehabilitation: Assistive Technology. 2011;6(5):420–431. doi:https://doi.org/10.3109/17483107.2010.544370.
   PubMedGoogle Scholar
• Wentink MM, Van Bodegom-Vos L, Brouns B, et al. What is important in E-health interventions for stroke rehabilitation? A survey study among patients, informal caregivers and health professionals. Int J Telerehabil. 2018;10(1):15–28. doi:https://doi.org/10.5195/ijt.2018.6247.
   PubMed Web of Science ®Google Scholar
• Lohse KR, Hilderman CG, Cheung KL, Tatla S, Vander Loos HM. Virtual reality therapy for adults post-stroke: a systematic review and meta-analysis exploring virtual environments and commercial games in therapy. PloS one. 2014;9(3):e93318.
   Google Scholar
• Veerbeek JM, van Wegen E, van Peppen R, et al. What is the evidence for physical therapy poststroke? Syst Rev Meta-anal. 2014;9(2):e87987.
   Google Scholar
• Kramer DB, Xu S, Kesselheim AS. How does medical device regulation perform in the United States and the European Union? A systematic review. PLoS Med. 2012;9(7):e1001276. doi:https://doi.org/10.1371/journal.pmed.1001276.
   PubMed Web of Science ®Google Scholar
• Horton LR. Medical device regulation in the European Union. Food Drug Law J. 1995;50:461.
   PubMed Web of Science ®Google Scholar
• Kramer DB, Xu S, Kesselheim AS. Regulation of Medical Devices in the United States and European Union. In: The ethical challenges of emerging medical technologies.Routledge; 2020:41-48.
   Google Scholar
• van der Veen DJ, Dopp CM, Siemonsma PC, Nijhuis-van Der Sanden MW, de Swart BJ, Steultjens EM. Factors influencing the implementation of home-based stroke rehabilitation: Professionals’ perspective. PloS one. 2019;14(7).
   Google Scholar
• State of the Nation Stroke statistics 2018, Stroke Association: Stroke Association.
   Google Scholar
• Wingham J, Adie K, Turner D, Schofield C, Pritchard C. Participant and caregiver experience of the Nintendo Wii sportsTM after stroke: qualitative study of the trial of WiiTM in stroke (TWIST). Clin Rehabil. 2015;29(3):295–305. doi:https://doi.org/10.1177/0269215514542638.
   PubMedGoogle Scholar
• Casserly DM, Baer GD. Effectiveness of commercially available gaming devices in upper limb stroke rehabilitation. Phys Ther Rev. 2014;19(1):15–23. doi:https://doi.org/10.1179/1743288X13Y.0000000098.
   Google Scholar
• van der Veen DJ, Dopp CM, Siemonsma PC, Nijhuis-van der Sanden MW, de Swart BJ, Steultjens EM. Factors influencing the implementation of home-based stroke rehabilitation: Professionals’ perspective. PloS One. 2019;14(7):7. doi:https://doi.org/10.1371/journal.pone.0220226.
   Google Scholar
• Chen Y, Abel KT, Janecek JT, Chen Y, Zheng K, Cramer SC. Home-based technologies for stroke rehabilitation: a systematic review. Int J Med Inform. 2019;123:11–22. doi:https://doi.org/10.1016/j.ijmedinf.2018.12.001.
   PubMed Web of Science ®Google Scholar