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On the Importance of Tailor-made Speech Relearning Software for Stroke Rehabilitation
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and System Science.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and System Science. (Forum för digitalisering (FoDi) , HEEL)
2020 (English)In: Proceedings of the 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE / [ed] Leszek Maciaszek,, SciTePress, 2020, Vol. 1, p. 176-179Conference paper, Published paper (Refereed)
Abstract [en]

Post stroke rehabilitation is a global issue with increasing challenges today when the percentage of older adults is increasing. There is a need for new solutions to better assist stroke survivors' normally long way back to a good and independent life. The various post stroke impairments can be divided into the categories of cognitive, motoric and speech impairment, and the three also have their interrelations. This position paper has a focus on rehabilitation of stroke survivors' speech impairments, and the use of technology-enhanced systems to assist the speech relearning. The current reuse of language learning software for primary school students is doubtful, and should better be replaced by tailor-made and adaptable tools that fit the target group. Finally, the recommendation is a long-term strategy where some initial costs should fund the design, development and evaluation of new digital tools for speech relearning. This should be conducted in a collaboration between researchers, speech therapists, stroke patients. The approach should be iterative and user-centred, with both speech therapists and stroke patients as the end-users.

Place, publisher, year, edition, pages
SciTePress, 2020. Vol. 1, p. 176-179
Keywords [en]
Speech Relearning, Stroke Rehabilitation, User-centred Design, Independent Living, Older Adults
National Category
Interaction Technologies
Identifiers
URN: urn:nbn:se:miun:diva-38986DOI: 10.5220/0009561201760179ISI: 000615961300019Scopus ID: 2-s2.0-85091433893ISBN: 978-989-758-420-6 (print)OAI: oai:DiVA.org:miun-38986DiVA, id: diva2:1428314
Conference
ICT4AWE 2020
Available from: 2020-05-05 Created: 2020-05-05 Last updated: 2021-02-25Bibliographically approved

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Ahmad, AwaisMozelius, Peter

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf