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Tytuł artykułu

Analysis of needs and requirements of kinesiotherapists in Poland for robot design purposes

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The presented paper addresses the problem of defining the design intent for rehabilitation robots. The presented investigation consists of in-depth interviews with professional physiotherapists and questionnaire research involving a survey based on their responses. Twenty-four questions were blocked within four sections – personal questions, therapy process, difficulties during sessions, and future of the rehabilitation. The answers were gathered online from a group of 138 active Polish physiotherapists. They were interpreted to identify actual needs and requirements regarding conventional therapy to be provided with the robotic aid. Analysis of results proves that future motor rehabilitation is expected to focus on task-oriented treatment and accurate assessment of progress. Moreover, this supports that implementing robots and teleinformatics technologies into kinesiotherapy may solve problems such as losing patients’ motivation, the physical tiredness of therapists, or spending time commuting for home rehabilitation. The results can be interpreted for the Polish market and those with a similar economy and cultural code.
Rocznik
Strony
113--122
Opis fizyczny
Bibliogr. 8 poz., rys., tab., wykr.
Twórcy
  • Warsaw University of Technology
  • Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
autor
  • The Józef Piłsudski University of Physical Education in Warsaw
autor
  • SWPS University of Social Sciences and Humanities
Bibliografia
  • 1. D. Shakti et al. Effectiveness of robo-assisted lower limb rehabilitation for spastic patients: A systematic review. Biosens. Bioelectron. October 2018. Vol. 117, pp. 403-415.
  • 2. G.A. van Norman. Drugs, Devices and the FDA: Part 2: An Overview of Approval processes: FDA Approval of Medical Devices. JACC Basic to Transl. Sci. June 2016. Vol. 1, no. 4, pp. 277-287.
  • 3. G. Georgoulis. Spasticity. Pediatr. Neurosurg. Clin. January 2022. Pp. 669-678.
  • 4. J.S. Blumenthal-Barby and H. Krieger. Cognitive biases and heuristics in medical decision making: a critical review using a systematic search strategy. Med. Decis. Making, May 2015, vol. 35, no. 4, pp. 539-557.
  • 5. P. Falkowski. Light Exoskeleton Design with Topology Optimisation and FEM Simulations for FFF Technology. J. Autom. Mob. Robot. Intell. Syst. January 2022. Vol. 15, no. 2, pp. 14-19.
  • 6. P. Healey et al. Cultural adaptations to augment health and mental health services: a systematic review. BMC Health Serv. Res. January 2017. Vol. 17, no. 1, pp. 1-26.
  • 7. BioXtreme 2020. Groundbreaking Therapeutic Technologies Method for Neurological Injuries Motor Recovery, https://www.bio-xtreme.com/resourecs/
  • 8. Krajowa Izba Fizjoterapeutów. Wyniki badania “Polska fizjoterapia”, https://kif.info.pl/wyniki-badania-polski-fizjoterapeuta/
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d0d9b908-552a-46ea-96c5-8578ea8c33f3
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