Mobile and wearable technologies for persons with disabilities: a bibliometric analysis (2000–2021)

References

• World Health Organization and World Bank. World report on disability. Geneva (Switzerland): World Health Organization; 2011.
   Google Scholar
• United Nations. Convention on the rights of persons with disabilities. 2006. https://www.un.org/disabilities/documents/convention/convoptprot-e.pdf
   Google Scholar
• General A. Transforming our world: the 2030 agenda for sustainable development. UN. 2015. https://documents-dds-ny.un.org/doc/UNDOC/GEN/N15/291/89/PDF/N1529189.pdf?OpenElement
   Google Scholar
• World Health Organization. Assistive technology key facts. 2018. https://www.who.int/news-room/fact-sheets/detail/assistive-technology
   Google Scholar
• Conderman G, Van Laarhoven T, Johnson J, et al. Wearable technologies for students with disabilities. Support for Learning. 2021;36(4):664–677.
   Web of Science ®Google Scholar
• Damianidou D, Foggett J, Wehmeyer ML, et al. Features of employment‐related technology for people with intellectual and developmental disabilities: a thematic analysis. J Appl Res Intellect Disabil. 2019;32(5):1149–1162.
   PubMed Web of Science ®Google Scholar
• Haymes LK, Storey K, Maldonado A, et al. Using applied behavior analysis and smart technology for meeting the health needs of individuals with intellectual disabilities. Dev Neurorehabil. 2015;18(6):407–419.
   PubMed Web of Science ®Google Scholar
• Layton N, Steel E. The convergence and mainstreaming of integrated home technologies for people with disability. Societies. 2019;9(4):69.
   Web of Science ®Google Scholar
• Morash-Macneil V, Johnson F, Ryan JB. A systematic review of assistive technology for individuals with intellectual disability in the workplace. J Spec Educ Technol. 2018;33(1):15–26.
   Web of Science ®Google Scholar
• van den Heuvel R, Lexis M, de Witte L. ICT based technology to support play for children with severe physical disabilities. Assistive Technol. 2015;217:573–577.
   Google Scholar
• Murchland S, Parkyn H. Using assistive technology for schoolwork: the experience of children with physical disabilities. Disabil Rehabil Assist Technol. 2010;5(6):438–447.
   PubMedGoogle Scholar
• Lang KR, Jarvenpaa S. Managing the paradoxes of mobile technology. Information Syst Manage. 2005;22(4):7–23.
   Web of Science ®Google Scholar
• Wilson D, Aggar C, Massey D, et al. The use of mobile technology to support work integrated learning in undergraduate nursing programs: an integrative review. Nurse Educ Today. 2022;116:105451.
   PubMed Web of Science ®Google Scholar
• SPFDE. A digital compass for decision makers: toolkit on disruptive technologies, impact and areas for action. 2016. https://ec.europa.eu/docsroom/documents/17924?locale=en
   Google Scholar
• Zhuang Y, Baldwin J, Antunna L, (editors.) et al. Tradeoffs in cross platform solutions for mobile assistive technology. 2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM); 2013. IEEE.
   Google Scholar
• World Bank. Mobile cellular subscriptions. 2020.
   Google Scholar
• Donthu N, Kumar S, Mukherjee D, et al. How to conduct a bibliometric analysis: an overview and guidelines. J Bus Res. 2021;133:285–296.
   Web of Science ®Google Scholar
• Raina N, Zavalloni M, Targetti S, et al. A systematic review of attributes used in choice experiments for agri-environmental contracts. BAE. 2021;10(2):137–152.
   Google Scholar
• Čop T, Njavro M. Application of discrete choice experiment in agricultural risk management: a review. Sustainability. 2022;14(17):10609.
   Web of Science ®Google Scholar
• Didehbani N, Allen T, Kandalaft M, et al. Virtual reality social cognition training for children with high functioning autism. Comput Human Behav. 2016;62:703–711.
   Web of Science ®Google Scholar
• You SH, Jang SH, Kim Y-H, et al. Virtual reality-induced cortical reorganization and associated locomotor recovery in chronic stroke: an experimenter-blind randomized study. Stroke. 2005;36(6):1166–1171.
   PubMed Web of Science ®Google Scholar
• Jasiewicz JM, Allum JH, Middleton JW, et al. Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals. Gait Posture. 2006;24(4):502–509.
   PubMed Web of Science ®Google Scholar
• Bryanton C, Bosse J, Brien M, et al. Feasibility, motivation, and selective motor control: virtual reality compared to conventional home exercise in children with cerebral palsy. Cyberpsychol Behav. 2006;9(2):123–128.
   PubMedGoogle Scholar
• Spain R, George RS, Salarian A, et al. Body-worn motion sensors detect balance and gait deficits in people with multiple sclerosis who have normal walking speed. Gait Posture. 2012;35(4):573–578.
   PubMed Web of Science ®Google Scholar
• Jang SH, You SH, Hallett M, et al. Cortical reorganization and associated functional motor recovery after virtual reality in patients with chronic stroke: an experimenter-blind preliminary study. Arch Phys Med Rehabil. 2005;86(11):2218–2223.
   PubMed Web of Science ®Google Scholar
• Taraldsen K, Askim T, Sletvold O, et al. Evaluation of a body-worn sensor system to measure physical activity in older people with impaired function. Phys Ther. 2011;91(2):277–285.
   PubMed Web of Science ®Google Scholar
• Saposnik G, Cohen LG, Mamdani M, et al. Efficacy and safety of non-immersive virtual reality exercising in stroke rehabilitation (EVREST): a randomised, multicentre, single-blind, controlled trial. Lancet Neurol. 2016;15(10):1019–1027.
   PubMed Web of Science ®Google Scholar
• Plancher G, Tirard A, Gyselinck V, et al. Using virtual reality to characterize episodic memory profiles in amnestic mild cognitive impairment and Alzheimer’s disease: influence of active and passive encoding. Neuropsychologia. 2012;50(5):592–602.
   PubMed Web of Science ®Google Scholar
• Golomb MR, McDonald BC, Warden SJ, et al. In-home virtual reality videogame telerehabilitation in adolescents with hemiplegic cerebral palsy. Arch Phys Med Rehabil. 2010;91(1):1–8. e1.
   PubMed Web of Science ®Google Scholar
• International Telecommunication Union. Measuring digital development: facts and figures 2021. Geneva (Switzerland): International Telecommunication Union, 2021.
   Google Scholar
• Microsoft Dynamics 365. 2019 Manufacturing trends report. 2019. https://info.microsoft.com/rs/157-GQE-382/images/EN-US-CNTNT-Report-2019-Manufacturing-Trends.pdf
   Google Scholar
• Zeidan J, Fombonne E, Scorah J, et al. Global prevalence of autism: a systematic review update. Autism Res. 2022;15(5):778–790.
   PubMed Web of Science ®Google Scholar